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Hi, my name is Agata Goździk, but till 2008 I was publishing under my maiden name Agata Mazuczyk (with the same afilliation of the Institute of Geophysics PAS. How can I merge this two names?
I published a.o. three papers with my supervisor Paweł M. Rowińki:
Turbulent characteristics of flows through emergent vegetation
Shear velocity estimation in hydraulic research
Scales of Turbulence in Compound Channels with Trees on Floodplains
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See How do I add an alternative author name? in https://help.researchgate.net/hc/en-us/articles/14292898263057-Updating-your-account-name for instructions.
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Dear all,
I am doing this marine magnetic survey at a jetty/ barge, where the seabed is scattered with various dumped materials (proven from side scan sonar mosaic). After producing the QAS grid, I found the anomaly patches show a "survey line-following" trend, which means you could easily tell the survey line orientation etc by only looking at the QAS result. The result is so unreal and I couldn't figure out the main reason causing it. I have made a small assumption to trying to explain it (see picture 7 attached), and tried larger iteration number when producing residual grid.
I have attached the detail processing steps, together with illustrations to make this thing easy and clear for your understanding. If you need more information, please leave your comment and I will update you very soon. I would really appreciate if you could help me to understand this. Thank you in advance.
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Try to represent your data with a contouring software like "surfer" (by goldensoftware)
Good luck
Rainer
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I found most of the papers used magnetic survey (airborne or ground) to explore new gold mine. However, almost all papers uses additional geophysics method (IP, SP, Conductivity, resistivity, EM etc.) to support the magnetic data.
I wonder why do we need support since the magnetic data can gives precise reading on the magnetic anomalies of those associate minerals (Sulfides especially) in the field.
Thank you so much in advance.
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If you knew exactly how gold is formed, then you could give an accurate answer to the question based on that:
1. Not every zone showing magnetic anomalies contains gold suitable for mining.
2. I think the previous answers are excellent so that we can clearly see what is being discussed.
3. 'Accurate' geological knowledge of the area is very important in order to clarify this question.
Malaysia is currently a tectonically very active zone. In this case, it is no wonder that magnetic anomalies in most cases allow the discovery of gold-rich deposits. Its importance lies in its being fast and efficient. After that, success can be achieved using simple geological methods.
Regards,
Laszlo
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How are earthquakes in the world of quantum mechanics?
What causes an Earthquake?
When I put the above question into social media, the response on all the sites was the same: an earthquake occurs when the rock underground suddenly breaks along a fault line. The sudden release of energy causes the seismic wave that makes the ground shake. When two blocks of rock or two plates rub against each other until one of the rocks or plates break, is when the earthquake occurs. This is the general answer for the cause of an earthquake.
My question is: what is it that caused these two rocks/plates to rub against each other in the first place? And what caused the rock underground to break at the fault line?
We really don’t know what caused it or for what reason an earthquake suddenly takes place. There is no straight forward answer for this question.
My theory of a Quantum Mechanics Universe has the answer for this phenomenon and can be described by Quantum Mechanics Unification Gravity.
My suggestion at this point is to read my Quantum Mechanic Gravity (QMG) to understand the concept.
Let me explain:
The Earth has four major layers: the inner core, the outer core, the mantle and the crust. The inner core of Earth consists of harder and heavier elements. As we travel to the surface, the heavy elements become lighter. The character of a heavier element is that it can take more heat than lighter elements.
The Earth is about 10 minutes in light years away from the Sun and the Sun is shining on the Earth 24/7. The character of the Sun’s energy wave or sun’s mass-less particles are traveling through the earth and nothing can stop it. Light is thermo-dynamic energy (thermodynamic is the relationship between heat and exertion).
Where does all this energy go and what is it used for?
Most of the energy is used or wasted over the surface of the Earth; but the energy wave that is shining perpendicular to the Earth has a better chance to travel into the Earth where eventually it meets at the center (inner core). The energy of the Sun is interchanged to quantum mechanics energy in heavier elements in the center of the solid hard core of the Earth.
NOTE: This is additional hard evidence that sunlight does not carry any mass. If the sunlight had mass, the inner core of the Earth would not be hot, because mass cannot travel through a harder mass.
The center of the Earth consists of heavy elements of the periodic table that first absorb this energy wave of heat from the Sun. Secondly, the surrounding core (outer core) is another heavy metal family that also absorbs this heat, until both, inner core and a part of the outer core become a melting pot of bubbling heavy elements, which then cause a new heavy metal of the inner ring of the outer core (close to the center of the Earth) to join this hot melting pot.
The quantum mechanics gravity causes the heavier elements to sink more into the center; meanwhile more sunlight energy is still being absorbed. It gets to a point that this boiling pot has limited space to expand and the heat generates a sudden expansion which creates a high pressure in the center of the Earth in both the inner and outer cores. The stress of this built up energy and pressure under the tectonic plates create the underground shaking and earthquakes as a result of the release of this heat and pressure. At first the heat and pressure is released through volcanoes but it also causes the plates to shift/break and create earthquakes.
We all know too well of the horrific results of an earthquake or a sudden volcanic eruption. Hundreds or in some occasions thousands of lives are sacrificed because of these two catastrophic events, but unfortunately the Earth is not aware of the loss of these lives, it is trying to prevent a greater global disaster.
Everything in the Universe that has conscience movement has intelligent life. That applies to everything from an atom up to the Earth itself and beyond.
Here, believe it or not, the Earth acts similarly to a human. As when we eat, our body is trying to save some of the energy for future needs, and the Earth is doing the same thing. It keeps this energy inside the inner core for two reasons, one it is part of its nature or growing to be completed, and keep the heat for a crucial moment that may arise.
This procedure of transferring heat to the center core is the natural behavior of any spherical atomic element in the space of the Universe, because in general the heat always transfers with outer chemical elements into the core of that planet. This course of action is the formation for the creation of a planet.
We learned from my paper on Gravity, how we walk on the Earth and how the Earth creates an electromagnetic force field in conjunction with a space wave. This friction of the Earth and space causes the Earth, after a long period of time, to lose its momentum in space of both its rotation and its revolution around the Sun by a very small fraction of its speed. To re-energize its momentum and movement to coordinate with the solar system and galaxy’s movement, it needs this energy from the Sun, inside at the center core, to generate its speed back to normal. The Earth is an intelligent planet and has been performing this procedure for billions of years. It wants to keep all its elements in good working order, especially with today’s demand of humankind which uses so many natural resources which change the distribution of the weight on Earth and pollutes the Earth in all sectors; here the Earth must create more of the heavier elements in the center to maintain this momentum.
The space of the Universe is very clear, but when there is wave and temperature that exist, friction also exists. We experience this phenomenon with all the satellites in orbit around the Earth. Sometimes, from the control room on Earth, for similar reasons, we must boost the satellite’s speed or get it back to its original speed. Otherwise they would lose their orbit and momentum and sometimes they fall back to the Earth. For the same reason, if the earth was going mechanically (the Big Bang theory) around the Sun, it would stop spinning after a period of time.
An earthquake is based on this same principle; when micro gravity is trying to pull heavier matter to the center it pushes the lighter elements up as we have observed with volcanoes. Probably, by knowing this phenomenon we should be able to predict the region of earthquakes better.
Here I should mention that the inner core of the Earth helps the Earth to keep the magnetic field of the North and South Poles in an orderly manner as well.
At the end of this segment, I should mention that the nature of the Earth is that it has had volcanic eruptions and earthquakes all its lifetime, for the natural release of this excess heat and also to support the vegetation life as well, by producing carbon-dioxide. In a sense, in layman’s terms, the Earth is breathing, by naturally absorbing the heat from the Sun and placing the heavier elements towards the center and pushing lighter elements to the surface of the Earth, through volcanoes and earthquakes.
Suad Mohammed Ali added a reply:
At the moment, there are several hypotheses in geophysics that explain especially dangerous processes of the earth's crust movements - sudden outbursts of rocks and gas from a rock mass from the point of view of classical physics. Despite the fact that various macroscopic systems can be accurately described using classical mechanics and electrodynamics, a real mechanism and a working model of this phenomenon cannot be built. Consequently, to develop a model of sudden outbursts of rocks and gas, it is necessary to apply new approaches and methods, different from the description of macroscopic systems. This article describes a quantum version of the process of the ejection of rocks from a rock mass. In particular, we described the mechanism of the Coulomb explosion that occurs in the rocks of the earth's crust with a sharp change in rock pressure and built a model of the sudden release of rocks and gases. In our opinion, the quantum processes described by us can be sources not only of sudden outbursts and rockslide but also sources of more formidable phenomena - earthquakes and volcanic explosions.
Hasan Altawil added a reply:
In quantum mechanics, earthquakes can be understood metaphorically in terms of fluctuations and disturbances at the quantum level, but they are not directly related to classical seismic events. Quantum fluctuations, for instance, involve temporary changes in energy in a point in space, somewhat analogous to how stress builds and is released in an earthquake. However, quantum mechanics primarily deals with phenomena at the subatomic scale, making the analogy only conceptual rather than literal.
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The exploration of concealed porphyry Cu Au deposits is challenging as their footprints in aeromagnetic surveys can be rather complex depending on the respective magnetic susceptibilities of their wallrocks and possible postmineral tectonic overprints or structural offsets. Unfortunately, magnetic anomalies of porphyry Cu deposits are poorly documented (and illustrated) in the literature. However, locally their magnetic responses consist of two rather distinct subtypes: 1) magnetic bulls eye and 2) magnetic doughnut anomalies.
The most common magnetic response of a hydrothermal porphyry system is a distinct magnetic high anomaly, typically measuring several hundred meters in diameter, and reflecting the magnetite-rich potassic altered core. A well documented example is the Bajo de la Alumbrera porphyry Cu Au deposit, Catamarca Province, Argentina (Fig. 1). During the waning and cooling stages of the hydrothermal system, cooler late-stage fluids can overprint the stockwork mineralization and its associated potassic alteration assemblage. This may lead to the subsequent oxidation (i.e. martitization) of hydrothermal magnetite to hematite. This process may cause the de-magnetization of the magnetic high into a “doughnut-shaped” or “torus-like” magnetic anomaly as recorded at the Northparkes and Cadia porphyry Cu Au clusters in the Lachlan Fold Belt in N.S.W., Australia (Fig. 2). The latter type of magnetic anomalies appears to be more common at alkalic porphyry Cu Au deposits that are hosted by high potassic and shoshonitic intrusions.
I should be grateful for any comments on this topic! Additional illustrations of magnetic anomalies of porphyry Cu deposits are most welcome! Many thanks.
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We have done geomagnetometric studies on some porphyry deposits in different parts of Iran and also we reprocessed some previously acquired geomagnetic data on porphyries.
Contrary to popular belief, I can tell you magnetic data layer is one of the best layers for the delineation and study of porphyry deposits but the interpretation of magnetic data needs a deep understanding of economic geology and geophysics.
In most of our cases, low magnetic responses were the target rather than high magnetic anomaly zones.
The following items are crucial in porphyry magnetic responses:
Porphyry type (continental arc vs island arc)
Porphyry erosion level
Flight height
Composition of host rocks
Post-emplacement tilting
I attached the file of our webinar which we show the effect of each item
An interpreter should consider all of these items for geomagnetic data interpretation. As an example for highlighting the effect of flight height, a potassic alteration which was showing a positive magnetic anomaly response in ground-base magnetometry, was showing low magnetic anomaly when we analyzed its airmag response!
So a lot of factors should be considered.
But based on our experience Analytic signal and Upwarded Analytic signal method is one of the best operators for the delineation of target areas that are susceptible for porphyries. We tested it in different porphyries and the results were great.
So if a geophysicist comprehensively considers the parameters, the Analytic signal can delineate target zones even in low erosional level porphyry and masked ones.
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Geophysical
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The seismic reflection method for deep target, refraction method for deep and shallow target.
Electrical Resistivity+ GPR+ MASW for shallow targets.
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What is some background research on geophysical exploration technology and method?
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This is the broadest question I have ever seen here. Each case must define a geophysical exploration method and target. The process must be chosen based on the target. I have written papers utilizing public-domain data, but many cases require acquiring new data. Ask a specific question!!!
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what is the best geophysical machine or device for detecting groundwater? Are there any machine that can detect the depth and the type of water? do I have to buy one machine or more than one to get the accurate result?
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In general resistivity sounding and profiling techniques are most economic and efficiently good methods. But in hard rock seismic refraction method in addition to resistivity may give fruitful results.
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Applications of geophysical methods and their importance in geotechnical investigations
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The most important method for engineering geophysics is Multi-channel Analysis of Surface Waves, MASW. These surveys generate a cross-section diagram of shear wave velocities vs depth. Shear wave velocities are a measurement of shear strength, which is the ability of a foundation to support a structure. They also identify trouble spots which might affect the ability to support a structure. It's best to do the survey first, but typically they are only called for when there are problems.
Unfortunately, most engineers will rely on Standard Penetration Tests which are just a spot check on the foundation. Read this article How to Talk to Geotechnical Engineers (fasttimesonline.co)
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A gravity gradient is different than an absolute gravity value.
What is the interpretation of horizontal and vertical gravity gradient?
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Hello, Shanker KC!
The second derivatives Wzx and Wzy characterize the rate of change of gz (that is, its gradient) horizontally (in the XOY plane, tangent to the surface) and have a dimension of 1/ sec^2. They are called horizontal gravity gradients.
The vertical gradient of gravity is of great practical importance, its use can significantly expand the possibilities for the localization and interpretation of gravitational anomalies. The use of the measured vertical gradient of gravity on the earth's surface will improve the accuracy of the measured values of the acceleration of gravity to the reference surface, as well as find the average curvature of the level surface.
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I am thrilled to announce that our special section titled "Frontiers in Electromagnetic Geophysics" is available on Geophysics (https://library.seg.org/page/gpysa7/geophysics-frontiers-in-electromagnetic-geophysics). This topic is related to the technical improvement of EM geophysics and/or their applications on field data to recover subsurface structures. The submission starts ends on July 1st, 2024.
If your research interest matches with this special section, please do not hesitate to contact me and other guest editors. We really appreciate if you can also help us promote this special issue among your community.
Best wishes,
Sizhuang Deng
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It is very good and beneficial for the researchers to come on a common platform.I hope certainly it gives positive results in this field
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If it is true that space-time is expanding, how does the measure of space-time change?
The shape of space-time is the shape of the universe; how can expansion without a boundary be called expansion? If the boundary of spacetime is the boundary of the universe, can spacetime expansion with a boundary have no background? How is the boundary maintained? If the boundary of spacetime is infinite, how does it expand?
We will use these paired terms to describe spacetime: infinite/finite, absolute/relative*, flat/curved, continuous/discrete, four-dimensional†/higher-dimensional, and so on. Normally we think of these properties as opposites ‡ and only one or the other can be chosen. But the full range of properties of spacetime will be combinations between these different properties. For example, spacetime has infinite, absolute, continuous, flat, four-dimensional properties, or spacetime has finite, discrete properties, etc. In any case, none of us thinks that there is a concept of "multiple spacetimes", or that spacetime should have its own background, or that spacetime can overlap, although physics suggests that there may be local "warps" in spacetime.
Astronomical observations show that the universe is in a process of accelerated expansion [1][2][3], with all stars moving away at an accelerated rate and possibly never returning. Physics attributes the expansion of space-time to the presence of dark energy with negative pressure [4]. Dark energy has been hypothesized in various ways (including non-existence), one of which is the cosmological constant Λ in Einstein's field equations (the zero-point radiation of space [5], the energy of the vacuum, the zero-point energy [6]).
Physics has not exactly explained the exact relationship between spacetime and the various fields assumed by the Standard Model [7], but only assumes the existence of vacuum energy [8][6], and is not sure which field's vacuum energy it is, whether it is the electromagnetic field, the electron field, the muon field, or the up-quark field, the charm-quark field, the Higgs field [9], or just the sum of their respective vacuum energies. So when it is assumed that space-time is expanding, and vacuum energy is expanding, are they created in it, or are they diffused across the boundary? Are they the driving force or the result? How do they manifest within microscopic particles when expanding at high speeds on the macroscopic scale?
Physics does not explain the origin of the dynamics of the Big Bang, nor does it explain when and how all the various fields in the Standard Model were formed, how they were formed, how they were maintained in existence, and how they evolved along with, or determined, the evolution of the Universe throughout the entire evolution of the Universe from the Big Bang onward. It is not clear how the various particles were excited initially from their own fields, but the explanation of nucleosynthesis [10] to the current period is relatively clear.
Usually we think of the universe as a set of space-time and matter-energy. There are many different models of the universe, and in addition to the Standard Model, there are many cyclic universes and multiverse views [11][15]. Then, when we haven't confirmed the model of the universe, there is no confirmed goal of the evolution of the universe, and there is no confirmed shape and boundary of the universe.
Both Einstein and Hawking say that the universe is "finite and unbounded" [12]. They believe that the universe is a finite three-dimensional sphere with a finite volume but no boundary. Topological theory says, "The boundary of a region has no boundary itself. "** [13]. Wheeler's statement is, "The boundary of a boundary is zero" [14]. What is the result of the infinite extension of the three orthogonal coordinate axes for a finite three-dimensional spherical universe?
Mathematically, there are four combinations between measures and boundaries: finite bounded, infinite unbounded, finite unbounded, and infinite bounded. The first two concepts are clear, but the latter two need to be recognized carefully when translated to physics. The "singularity" is a typical example of an "infinite bounded". Usually in physics, when time or space shrinks to zero, the corresponding physical quantity tends to infinity. For example, E=hν, when ν→0; F=q1*q2/r^2, when r→0. However, we believe that this is only a trend and that there can be no state that reaches a singularity. Therefore, "infinitely bounded" is not real. The Koch Curve, often thought of as a fractal geometry expressing "finite unbounded", is one of the nth iterations of the Koch snowflake that can be implemented in the Wolfram Language as KochCurve[n]¶. The difference between physical reality and mathematics can be shown here, as n cannot be chosen to be infinite, so the Koch Curve will always be in a definite state in reality, and although it can evolve, "finite and unbounded" is a tendency, not a state. The formulation of the Mobius strip††, the irrational numbers, is another way of saying "finite unbounded". In physics, a typical example of "finite unbounded" is the electron. The electron has a fixed charge e, but the boundary of the electric field E of the charge extends infinitely (the field strength is convergent). Of course, the concept of zero-dimensional "point particles" is also a kind of abstract "finite unbounded". In short, in physical terms, finite must have boundaries.
General relativity is the basis for modeling the universe, but is there any good reason why we should be able to determine the evolutionary goals of the universe, its shape, and its boundaries through general relativity alone? Shouldn't such boundaries be "boundary conditions" of GR?
There should not be any boundary conditions, which are the conditions necessary for the model of the universe to hold correctly.
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Notes
‡ As long as we do not have a precise definition of spacetime, viewing these properties as opposites can only be taken for granted. As with the wave-particle duality of particles, which property is presented depends on the observer's perspective; the structure of the particle itself does not change. Further characterizations of spacetime include whether it is inherently existent or generative, whether the vacuum contains energy, and so on.
¶ https:// mathworld.wolfram.com/KochSnowflake.html; Stephen Wolfram, Founder of Wolfram Language, is very interested in the question of the evolution of the universe, and is the author of the book "a new kind of science", which has been trying to find out how the universe evolves using metacellular automata.
** e.g. the two-dimensional region has as its boundary a one-dimensional loop; the loop has no end, that is, it has no boundary itself.
†† The Möbius strip is bounded as long as one does not confuse metrics with boundaries.
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References
[1] Linder, E.V., Exploring the expansion history of the universe. Physical Review Letters, 2003. 90(9): p. 091301.
[2] Riess, A.G., The expansion of the Universe is faster than expected. Nature Reviews Physics, 2020. 2(1): p. 10-12.
[3] Freedman, W.L., The Hubble constant and the expansion age of the Universe. Physics Reports, 2000. 333: p. 13-31.
[4] "Dark Energy Survey, Collaboration." from https://www.darkenergysurvey.org/the-des-project/overview/.
[5] Oks, E. (2021). "Brief review of recent advances in understanding dark matter and dark energy." New Astronomy Reviews 93: 101632.
[6] Carroll, S. M., W. H. Press and E. L. Turner (1992). "The cosmological constant." Annual review of astronomy and astrophysics 30: 499-542.
[7] Group, P. D., P. Zyla, R. Barnett, J. Beringer, O. Dahl, D. Dwyer, D. Groom, C.-J. Lin, K. Lugovsky and E. Pianori (2020). "Review of particle physics." Progress of Theoretical and Experimental Physics 2020(8): 083C001.
[8] Jaffe, R. L. (2005). "Casimir effect and the quantum vacuum." Physical Review D 72(2): 021301.
[9] Springer (2020). 100 Years of Fundamental Theoretical Physics in the Palm of Your Hand: Integrated Technical Treatment.
[10] Cyburt, R. H., B. D. Fields, K. A. Olive and T.-H. Yeh (2016). "Big bang nucleosynthesis: Present status." Reviews of Modern Physics 88(1): 015004.
[11] Carr, B. and G. Ellis (2008). "Universe or multiverse?" Astronomy & Geophysics 49(2): 2.29-22.33.
[12] Hawking, S. W. and M. Jackson (2001). A brief history of time, Bantam Books New York.
[13] Yang, C. N. (1980). "Einstein's impact on theoretical physics." Physics Today 33(6): 42-49.
[14] Misner, C. W., K. S. Thorne and J. A. Wheeler (2017). GRAVITATION, Princoten University Press.
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Dear Chian Fan
There's no such notion as ``mainstream physics''-there's only physics, which is the mathematically consistent description of natural phenomena.
Regarding energy and momentum: In curved spacetime energy and momentum aren't well-defined notions, because translations in time and space-which is what lead to the definition of energy and momentum-aren't globally defined. So the answers to your questions are all, in fact, No.
Regarding Einstein's equations-of course boundary conditions must be imposed and they are imposed. For describing cosmology the boundary conditions are, typically, radiative. It is possible to impose different boundary conditions and compare the results with observations.
While it was thought that including the cosmological constant was optional, it turns out that it is mandatory-the only question is its sign and its value. For a long time it was thought to vanish and a lot of effort went into trying to describe this. In 1998 it was finally possible to measure its value that turned out to be non-zero and positive. What matters is that the cosmological constant is the only term, besides the Ricci scalar, that it is possible to include in the Einstein-Hilbert action.
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Is it possible to have a VP/Vs ratio of less than 1 in near surface seismic studies (using seismic refraction and MASW methods)? If yes, What is the geological and geophysical explanation for this phenomenon?
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Hi
It's not possible in reality (if VP and Vs is determined correctly). Vp/Vs should be at least 1,73 (in ideal elastic material) but not possible in real soils/rocks etc.)
Kind regards
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Hello dear network, I'm a PhD student in geophysics , in the field of Magnetotelluric (MT) and transient electromagnetic(TEM), I would ask you to help me find data from Africa in the field cited above.
I will really appreciate any help from you , giving me a website for downloading data, any forum of discussion .
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Anas Charbaoui Thank you very much dear for promptness and your useful answer to my request. I will quickly check the different links and see.
Thank you once again for your help
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hello dear network, I'm a PhD student in geophysics , in the fied of magnetotelluric and transient electromagnetic, I would you to help me find data from Africa in the field cited above.
I will really appreciate any help from you , giving me a website for downloading data, any forum of discussion .
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Ernest Berkman Please Prof I had a look at the links you sent to me, it is good documents but my main problem is how to get the data to do my research thesis.
I am looking for Magnetotelluric and Electromagnetic data from Africa.
I will really appreciate any help in this direction.
Thank you very much Dear Prof for helping me
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Which anomaly, Bouguer or Free Air, is more suitable for geophysical modeling offshore basin, and what are the reasons behind this choice?
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For geophysical modeling of offshore basins, the free-air anomaly is generally more suitable than the Bouguer anomaly. There are a few reasons for this:
Bouguer anomalies are often used in areas where the topography and near-surface geology are complex, such as mountainous regions or areas with significant variations in sediment thickness. In offshore basins, Bouguer anomalies are often preferred over Free Air anomalies because they provide a better representation of the density distribution in the subsurface, which can be used to infer information about the structure and composition of the crust.
The Bouguer correction attempts to remove the gravitational effect of the rock between the measurement point and a reference elevation (often sea level). Offshore, there is no well-defined reference elevation, so the Bouguer correction becomes uncertain.
In contrast, the free-air anomaly does not require a Bouguer correction. It simply compares the measured gravity to the theoretical gravity at the measurement point. This makes it well-defined and accurate for offshore measurements.
Offshore basins generally have thick sedimentary fills overlying denser basement rock. The contrast in densities between sediments and basement is the main source of gravity anomalies, not variations in terrain/topography. The free-air anomaly, which is not corrected for terrain, is, therefore, more representative of the geology.
The free-air anomaly is directly proportional to the thickness and density contrast of subsurface bodies, making it more useful for geological modeling.
Reducing the data to free-air anomaly allows results from both offshore and onshore surveys to be combined more easily, providing a more complete geophysical model of the basin.
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Dear all,
Good day to you. I performed a magnetic surveyof an area in Pahang and currently doing diurnal correction using GemLink 5. I find that GemLink 5.3 is a good tool when we have less data, but it taking so much time and tediuos when we have too much data. Therefore, I would like to ask if anybody can show how to carry out Diurnal Correction by using Oasis Montaj?
Many thanks to everyone who helped.
Regards,
Ong Min
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in OasisMontaj, it is done using QCDIURNL GX or in exel also.
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What are different techniques in Non-linear, Non-stationary signal processing? Which one is much effective in view of Geophysical signals?
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Wavelet Transform and Hilbert Huang Transform (or Empirical Mode Decomposition) are suitable for non-linear and non-stationary signal processing and analysis. 1st one depends on choice of basis or mother wavelet and 2nd one is a data-adaptive method.
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Reservoir Management Process by a Reservoir Engineer/Team Work/AI
1. Upon joining a petroleum industry,
immediately following graduation in PE,
how long, in general, would take
for a ‘fresh petroleum engineer’ –
in order for him/her
to apply the ‘classroom knowledge’
on ‘drainage principles of reservoir engineering’
along with the application of
the latest available ‘industrial technology’ -
towards ‘controlling reservoir operations’
that would positively
‘maximize the economic value
of a petroleum reservoir’?
2. In a span of say, 10 years,
upon joining a petroleum industry,
whether a reservoir engineer
will be able to acquire the ability
to predict the consequences of
implementing
various reservoir decisions
that he/she acquired
based on the expected behaviors of a reservoir system
through modeling studies
along with the evaluation of its associated uncertainties?
3. How exactly a fresh petroleum engineer gets translated to become an expert in
(a) reservoir characterization;
(b) reservoir performance;
(c) well performance; and
(d) field development –
over a period of time in an oil/gas industry?
4. How quickly a reservoir engineer
would be able to identify
an appropriate model
for simulating
a dynamic reservoir system
(either by deterministic or by stochastic methods)
by successfully integrating
both ‘static data’ (reservoir structure description involving geology, geophysics,
geochemistry & petro-chemistry)
as well as
‘dynamic data’ (reservoir fluid flow behavior involving pressure/temperature, water/oil/gas
rates, saturations, production logs, well tests, geo-mechanics) –
towards precisely predicting both ‘data’ as well as ‘results’?
5. Whether a reservoir engineer by himself/herself would be able to precisely check,
whether the diagnosed reservoir model
remains ‘nearly consistent’
with reference to the ‘model output’ and ‘field data’ (through history matching)?
Or,
will we require AI in the event of a lack of match -
resulting from an inconsistent/incomplete/incorrect reservoir model – in order to reassure
the ‘optimum and cost effective field development
considering economic, environmental and safety constraints’
as a coupled effect of reservoir performance, well performance and surface facilities?  
6. Feasible to become a Master of All the related disciplines:
Basics (Geology, Geophysics, Reservoir, Production, Drilling);
Reservoir Characterization (Geological/Geophysical Modeling, Geochemistry,
Geomechanics, Petrophysics, Production logging, Well Testing, and Integration into Reservoir Model);
Well Performance (Completions and Production Problems, Nodal Analysis);
Reservoir Performance (Analytical/Numerical Predictors, Upscaling, History Matching & EOR), and
Field Development (Pipelines and Surface Facilities, HSE, Economics) by a field reservoir engineer;
or,
a 'team work' would suffice;
or,
need AI
for characterizing complicated unconventional-, fractured-, carbonate-reservoirs?
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Greetings Suresh,
With regards to your opening question of "Do we need an efficient Reservoir Engineer, or, a great team work, or, AI for characterizing complex reservoirs?", I agree with one of Scott's points and say "yes". We need all. You need a team of skilled reservoir engineers working collaboratively with differing (challenging) ideas and perceptions, who can appreciate and accept the range of possibilities. You need Monte Carlo type probability analysis, because with complexity comes unknowns and these still need to be accounted for. And AI will help, but only to the degree that its been trained.
And we need a work environment that is honest and based on integrity. Thankfully I don't work where Scott did, though I have seen what he's seen, in different ways. Greed and bias are out there but (and maybe I'm naïve) not all-pervasive.
Your other questions regarding how long it takes to acquire these skills are difficult to answer. It depends on the individual and their work environment & work scope. Will they have 10 years of diverse, challenging experience with good mentorship, or will they repeat one year of mediocre entry-level employment ten times? The former could be a talented, team-leading RE in 6-7 years. The latter may never acquire the skills you describe. Both of these work circumstances exist in our industry and the latter is painfully common.
Hope that helps,
R
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Dear everyone,
The images below are ERT resistivity pseudosections. Please look at the red circled part.
I realized some of the models have blurry or has very limited information (as the L06), while some of the models have so many data (L10).
I wonder if this is due to over removal of data points at the "externate bad data points" and also over filtering at the "RMS error statistic". However, only these two method can reduce the RMS error of the model.
Please help to answer if you know what does this representing. I really appreciate your help.
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Might be useful to email me one of your data files and I'll run them through my RES2DInv and see what happens. pcheetham@bournemouth.ac.uk
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Dear everyone,
I just started to learn ERT data processing and am confronting a problem:
We are using the same data. The model that I produce is different from what my colleage produced. (Results are attached below)
I understand that the differences are controlled by the parameters input, however, I wonder how to determine which model is the best representing the real situation?
How to determine which model is the best to carry out interpretation?
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for me I see there is no significant differences between the obtained models, and to answer your question about (How to choose optimum model between many models) you have to integrate your models with another tool to achieve integration and see if both techniques provide good matching results for the problem at hand, if this is not available, thus, I can guarantee you that there nothing to do except studying the geological setting of the study area very well especially outcrops at or near your study area.
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Dear Everyone,
Good day to you. I am processing some ERT data to look for potential mine. The origin RMS is >50% and I filtered the data using "exterminate bad data points" and edit the "RMS error statistic". However, when the RMS error reduced to <10%, all of my IP data went wrong (as shown in the picture).
I would like to know what cause this to happen and how to obtain a good IP pseudosection while the RMS of resistivity is <10%.
I attached the inversion data for the line at below. It mentioned Reference IP used is 0.000.
Thank you so much in advance and I appreciate your kind assistance.
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First of all, I experienced such problem before and I highly recommend you explore (ResIPy) for better error-analysis link below: https://github.com/hkexgroup/resipy/releases/download/v3.4.2/ResIPy-windows.exe
secondly, the problem maybe that the bad data points you exterminated to get lower inversion RMS error is the problem, it may eliminate the anomalous IP measurements.
finally, to better understand the problem I have to see IP measurements.
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Dear everyone,
I am just started in the geophysics field and trying to familiarize the RES2DINV software. However, the model displaying in the software are all cut into half. Is there any way to change the display size of the model?
Thank you so much in advance.
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Hello Gomez,
So many thanks for helping to answer my doubt!! I just figured out the problem.. Since I am using an extended large monitor, the software does not detects the new screen resolution size and remain the same size as my small main monitor on the second larger monitor. This problem could be overcome by process the data in the small screen.
Anyway, thank you for your kindness!
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In this era of data-driven techniques taking over traditional analysis, I wish to know what are the different problems that can be solved in the field of Geophysical signal processing. What is the current research that is going on in this field?
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Geophysical signal processing is an important field that deals with the analysis, interpretation, and modeling of various geophysical data, such as seismic, gravity, magnetic, and electromagnetic data. The application of signal processing techniques in geophysics has led to significant advances in various areas, such as earthquake detection and location, imaging of subsurface structures, and exploration of natural resources, among others.
Some of the problems that can be solved in the field of geophysical signal processing are:
  1. Seismic data processing: Seismic data is used to image the subsurface structures of the earth. Signal processing techniques can be used to remove noise, correct for instrument response, and enhance the signal-to-noise ratio in seismic data, leading to better imaging of subsurface structures.
  2. Earthquake detection and location: Seismic signals generated by earthquakes are often buried in a large amount of background noise. Signal processing techniques can be used to detect and locate earthquakes accurately.
  3. Gravity and magnetic data processing: Gravity and magnetic data are often used to locate and map subsurface geological structures. Signal processing techniques can be used to remove noise, correct for instrument response, and enhance the signal-to-noise ratio in gravity and magnetic data, leading to better imaging of subsurface structures.
  4. Electromagnetic data processing: Electromagnetic data is often used to locate and map subsurface hydrocarbon reservoirs. Signal processing techniques can be used to remove noise, correct for instrument response, and enhance the signal-to-noise ratio in electromagnetic data, leading to better imaging of subsurface structures.
Current research in geophysical signal processing is focused on developing advanced signal processing techniques that can handle large and complex geophysical datasets. Machine learning techniques, such as deep learning and neural networks, are being used to develop automatic signal processing algorithms that can improve the efficiency and accuracy of geophysical data processing. Other research areas include the development of 4D imaging techniques that can monitor changes in subsurface structures over time and the development of joint inversion techniques that can combine multiple geophysical datasets for improved imaging of subsurface structures.
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A geophysical model is obtained before inversion process.
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The answers before contain everything you need. I only want to repeat what is in the Mario's text: build a preliminary model from the information you have (geology, and overall logs), but keep your mind open, so that you refine it iteratively on the basis of the results of your inversion. And think also always about the assumptions you make when you perform the inversion, since it can explain eventual discrepancies.
Best wishes!
Giuliana
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I admitted as an undergraduate to multiple universities in Arizona and Colorado! I have been actively looking for admission to the university to continuously prepare me as an investigator/innovation scientist in mineral exploration by building my foundational knowledge in metallurgy, chemistry, control systems engineering, geochemistry, geophysics, etc. These might be included in my coursework. My focus may be on "control system engineering" compared to "geoscience," as I want to spend my effort investigating sensor innovation using metallurgy, geophysics, chemistry, etc. for mineral exploration. Precisely, investigative research will be on creating "detection technology for purposing of Mining exploration and extraction" So, I'm confused with two queries: 1. Which university would be the best option based on my research interests? 2. Which major and region for internship/ real time research job corresponds to what I'm actually looking for?
Hope you already understand I’ve applied many universities with getting rejection that didn’t also find exact research team yet I’m looking. Thank you so much.
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Dear Saifur Rahman Khan and Al,
lI wish you Happy New Year: success in your spiritual achievement, good health and prosperity for it!
I found the next on the facbook (https://www.facebook.com/USGSVolcanoes):
'A volcanologist is a person who studies volcanoes, but there are many different specialties within the field of volcanology. Which interests you and what steps should you take to achieve your goal? Find out more in #VolcanoWatch.
Earthquakes are one primary tool used to study volcanoes. A volcano seismologist studies the earthquakes that are generated as magma moves through Earth’s crust.
A volcano geodesist studies the deformation, or change in shape, of a volcano caused by the movement of magma and gases beneath the surface. Many features of volcanoes can be studied from space, as well, using satellite sensors. Tools like these provide clues about the state of the volcano.
Geologists and geochemists study the composition of lavas and gases to understand the source and style of the eruption. Measuring gas emissions is especially important, as the vog (volcanic air pollution) caused by toxic volcanic gases can contribute to breathing problems, acid rain, and agricultural problems downwind, especially during long-lived eruptions.
If you are interested in becoming a volcanologist, you’ll need to work toward a bachelor’s degree, preferably in a STEM field (Science, Technology, Engineering, and Math). Volcanologists frequently pursue degrees in geology, chemistry, physics, and/or mathematics, but that is not always the case. Oceanography, computer science, engineering, environmental science are all potential pathways, and the list goes on. Explore different fields to find what interests you most.
After achieving a bachelor’s degree, consider options for advanced degrees like a Masters or Doctorate. Many advanced degree programs in the sciences are funded, meaning tuition may be waived, and you might get a stipend for doing the work. Basically, you get paid instead of having to pay for school, and you gain valuable work experience at the same time.
You might consider working for the USGS or other agencies and companies. You have seen many photos of HVO scientists working during the eruptions of Mauna Loa and Kīlauea. The National Park Service also offers a variety of positions for people with either bachelor’s or advanced degrees, such as park geologists, archaeologists, botanists, guides, interpretive rangers, and law enforcement rangers. Science writing and journalism are also excellent ways to explore the excitement of volcanology, natural disasters, and cutting-edge science, while encouraging those passions in others. Similarly, eco- and geo-tourism are great ways to get close to the action and work outdoors, while also meeting, educating, and inspiring people from all over the world. Careers in emergency management will have you helping people stay informed during crises.
Check out usajobs.gov for positions within the federal government. There is even a special section for students and recent grads.
Volcano Activity Updates
#MaunaLoa is not erupting. Webcam imagery shows weak, residual incandescence intermittently in the inactive Northeast Rift Zone fissure 3 lava flow at night. Seismicity remains low and ground deformation rates have decreased. Sulfur dioxide (SO2) emission rates are at background levels. For Mauna Loa monitoring data, see: https://www.usgs.gov/volcanoes/mauna-loa/monitoring-data.
#Kilauea is not erupting. Lava supply to the Halemaʻumaʻu lava lake in Hawai‘i Volcanoes National Park ceased on December 9. Sulfur dioxide emission rates have decreased to near pre-eruption background levels and were last measured at approximately 200 tonnes per day (t/d) on December 14. Seismicity is elevated but stable, with few earthquakes. Over the past week, summit tiltmeters recorded several deflation-inflation (DI) events. For Kīlauea monitoring data, see https://www.usgs.gov/.../past-week-monitoring-data-kilauea.
There were three earthquakes with 3 or more felt reports in the Hawaiian Islands during the past week: a M3.3 earthquake 14 km (8 mi) S of Fern Forest at 7 km (4 mi) depth on Dec. 27 at 4:33 a.m. HST, a M3.4 earthquake 7 km (4 mi) WSW of Volcano at 2 km (1 mi) depth on Dec. 24 at 8:31 p.m. HST, and a M2.5 earthquake 1 km (0 mi) S of Mountain View at 11 km (7 mi) depth on Dec. 24 at 9:57 a.m. HST.
In the photo, an HVO technician adjusts a volcanic gas analysis instrument that was specifically designed for this Unoccupied Aircraft System (UAS) unit, which carries three one-liter analysis bags. The instrument transmits gas concentration information in real-time during the flight at Kīlauea summit. USGS has special use permits from the National Park Service to conduct official UAS missions as part of HVO's mission to monitor active volcanoes in Hawaii, assess their hazards, issue warnings, and advance scientific understanding to reduce impacts of volcanic eruptions. Launching, landing, or operating an unoccupied aircraft from or on lands and waters administered by the National Park Service within the boundaries of Hawai‘i Volcanoes National Park is prohibited under 36 CFR § 1.5 - Closures and public use limits.
USGS image taken January 14, 2022 by M. Warren.
#USGS #HVO #HawaiianVolcanoObservatory'
Maybe it can help you!
Regards,
Laszlo
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Dear All,
I am working on P & S logging data for geotechnical investigation. This survey provides P wave and S wave interval velocities. Poisson's ratio is being calculated by the basic formula (please see attached image).
Questions:
1. How does the water table affect the poisson's ratio? Should it be increased in saturated formation?
2. In a water-saturated formation, P wave velocity typically increases. How is the water table affecting S wave velocity?
3. Is it feasible to determine the poisson's ratio below water level?
Please share your experience and any relevant papers or publications.
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The Gassmann fluid substitution of water by gas depends on the properties of the fluids (water, gas) and of the rock (porosity). The P velocity is first affected by the compressional effect (gas a much lower modulus than water) that becomes maximum around 10% gas saturation; afterwards the density effect is dominant: Vp decreases sharply first, then increases with gas saturation. The S velocity reacts only to the change in fluid density: Vs increases with gas saturation.
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I am seeking your advice on geophysical methods (acoustic, ERT, GPR...) that could be used to track deformations in backfill composed of sand and clay. This backfill is used to fill a tunnel of 4 to 5 m in diameter. The backfill is initially unsaturated and is artificially hydrated until it is completely saturated. The aim is to follow vertical and horizontal deformations over several years on a 2-3 m portion of the tunnel. The expected deformations are at most centimetric.
If it is not possible to follow the deformations of the backfill itself, I thought of adding targets positioned at different places of the backfill during its construction. These targets can move freely with the backfill and they have of course an impedance or permittivity very different from those of the surrounding environment.
Would geophysical methods allow to follow the displacement of these targets with enough precision? Which method would be the best? A combination of several methods can also be considered.
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Many thanks! I didn't know about this type of tool. Indeed it seems interesting, it remains to be seen if the precision and the life span of the system are sufficient.
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I worked at field with EM38-MK2 instrument. Results of raw readings vizualised at picture below. I don't understand why readings for 0.5 m base are predominantly negative. Calibration? But I calibrate instrument before survey at 1.5 m. Conditions around were uniform.
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Q can be easily converted into apparent conductivity by a simple multiplication if the the instrument is working at very low induction numbers B which is defined by the ratio between coil separation (s) and the skin depth, i.e., it is valid when s is very small in relation to the skin depth which is inversily proportional to the conductivity. Of course this formula applies only to homogeneous media or layered earth. when the subsurface has heterogenities it fails, e.g., can lead to negative conductivities...
Unfortunately I did not work with EM38-MK2...
If you want to take a look at my PhD thesis maybe it could help you... it is avaialable here in research gate.
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I would like to know how to use MATLAB to process the derivation of gravity and magnetic data in geophysical inversion, such as calculating the Jacobian matrix, do we need to convert it to the frequency domain, or use other methods.
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Since a Jacobian Matrix can be defined as a matrix containing a first-order partial derivative for a vector function, you should be able to use MATLAB to do the processing in the same manner as you use for other products.
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There are publicly available datasets in most deep learning fields. However, there are no such datasets for geophysics, especially gravity and magnetic studies. How to quickly generate millions of gravity magnetic images as a training dataset for deep learning?
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Gravity and magnetic are both easy and challenging, because of their non-uniqueness. It is possible to compute an infinite number of forward models for which an infinite number of computed inversions can be made for each forward model.
Have you read, "Interpretation of Aeromagnetic Maps, Volume 47 of Geological Society of America? ISBN0813710472
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In my recent studies, I found references, where the equations presented were incorrect. Especially in a case like Eaton's pore pressure estimation equation, these mistakes were widespread.
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You're right. But the researchers themselves must be sure of the correctness of the equations to a great extent because they develop their research based on these equations.
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Respected Researchers,
I just resumed for my master’s program in geophysics this fall and I was hoping to start working on my research topic as soon as possible. I’m kinda clueless on possible research topic and I would really appreciate your assistance. My interests are in the area of reservoir geophysics, reservoir characterizations and seismic interpretations. thank you
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Hi Hammed
There are tons of topics in this area , for example
- Simultaneous Pre-Stack Seismic Inversion
-GeoStatisitical Inversion
-Full waveform Inversion
-Multi-attribute analysis with AI/ML algorithms for rockproperties prediction
-Seismic reservoir characterization for Carbonate reservoirs/ unconventional reservoirs.
These are just suggestions, you can also look at the latest 5 or 6 issues of the Leading-Edge magazine to have an idea about the latest topics
Regards'
Mahmoud Noaman
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I'm working on an update to our previous global geochemical database. At the moment, it contains a little over one million geochemical analyses. It contains some basic geochronology data, crystallization dates for igneous rocks and depositional dates for sedimentary rocks. The database differs from GEOROC and EarthChem, in that it includes some interpretive metadata and estimates of geophysical properties derived from the bulk chemistry. I'd like to expand these capabilities going forward.
What would you like to see added or improved?
Here's a link to the previous version:
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A format that can be adopted by GIS!
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Hello, professors
I am a graduate student from China. My majors are geothermal and geophysical methods.
In the past few years, I have devoted myself to studying the coupling between geothermal and geophysical , and the application of some machine learning in geothermal. I believe that geophysical signals applied in geothermal have many potential responses that can be analyzed. Therefore, the complex geothermal coupling field can be simulated and then converted into geophysical parameters for further discussion. This kind of methods is applied to statistical and empirical functions. But its limitations are also obvious. There are still large errors in the statistical geophysical parameters and empirical functions of a large number of samples. It is suitable for general geothermal problems, which requires a lot of assumptions and conditions.
The hydro-thermal equation gives a reasonable coupling form from the physical laws of materials. This allows more properties to be linked to geothermal systems, including THM and THMC. THM model can further discuss the stress change and possible fracture by simulating the pressure and heat distribution in the water injection, which provides help for the simulation of micro-seismic method. Carcione et al. (2018) obtained the sensitivity of heat and pressure in seismic methods with burgers-Gassmann model. self-potential is a geophysical method that is very suitable for coupling with geothermal because it is related to Darcy velocity and thermoelectric response. The gravity method can also be directly related to the hydrothermal model through Archie formula, saturation and other parameters. Therefore, geophysical signals are not limited to obtaining intrinsic parameters, and the deep relationship between them and geothermal parameters should be quantified.
I would be happy to receive any suggestions for this study. Are there more articles to discuss and analyze such study? Are empirical functions and sample statistics more applicable? If the coupling calculation can be well solved, geophysical inversion and joint inversion will restore more useful information? If you have new ideas about this study, your suggestions may be of great help to me, although it is a single geophysical method, including MT, seismic, gravity or magnetic.
In addition, since I am not a native speaker, I use a lot of machine translation to describe this study, sorry.
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Bai Lige The most advanced method of monitoring physical property changes in the subsurface is time-lapse seismic. What can be observed is changes in arrival times of seismic reflections signals, and the reflections amplitude. Both signals are sensitive to the propagation velocity of seismic waves and the bulk density.
If you want to monitor geothermal processes, you have to understand how temperature changes affect seismic properties (velocity and density). Typically geophysicist subdivide rock into the rock-frame properties and the fluid properties occupying the pore space. The rock frame properties and the fluid properties are then "averaged" using a suitable equation. The classic equation is Gassmann equation. Fluid properties (Density and bulk modulus, from which you can calculate P-wave velocities) are often calculated using Batzle and Wang equations (the classic paper is Batzle and Wang, 1992, Seismic properties of pore fluids). These equations allow calculation of the temperture-dependence of fluid properties. The effect of temperature on the rock-frame takes is slightly more complex. The major effect is probably that temperature changes causes thermal expansion/contraction of the rock, which causes stress/strain changes in the rock-frame, which in turn cause velocity changes. A good place to start reading is "The Rock Physics Handbook" by Mavko, Mukerji and Dvorkin, and the references therein.
Before you move to any statistical methods, I would suggest that you try to understand the magnitude of temperature change on both fluid properties and rock-frame properties and get a sense of the percentage velocity (and density) change. These changes will depend very much on geological properties (such as porosity and mineralogy). I concur with Ernest Berkman that some focus on the geological setting is very important. A geothermal site in a hot granite (with low porosity and permeability) will behave very differently from a geothermal site in sedimentary rock with high porosity/permeability and a slightly elevated temperature.
The challenge with multi-physics is to know which effects are first order, and which effects you can safely neglect. You can of course display the results of all the various multi-physics effects in a statistical sense with correlation matrices. It always helps to first understand the underlying physics.
Good luck with your research,
Jorg
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Yes. I have many researches published and available in RG.
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You can compare 2 different technics Prof. Dr.Marwan Mutib
Refraction seismic & Reflection seismic. I guess refraction helps more to identify the closest to the surface type of lithology and water reservoirs, I guess.
Please take a look at the following link, quite instructive:
Best Regards.
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Dear Professor,
I am looking for the recent age data using dating of zircons from beach placers. What is the implication of these ages in the sedimentary environment?
Best Regards
Debashish Sengupta
Dept. of Geology & Geophysics
Indian Institute of Technology Kharagpur
West Bengal, INDIA
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Dear Martin,
Thank you for sharing your instructive Report Book. The same would be very useful for our recent studies. Best Regards, Debashish
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If a rigid plate is bounded by two transform faults and the plate is moving, with the translatory motion of the plate will there be oscillatory motion as well? If not, why and if there is an oscillatory motion then what will be the mechanism of it?
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In my article on RG 'The driving forces of tectonic activity' I propose a mechanism that can explain an oscillatory motion of moving plates.
It is well documented that tectonic activity has a seasonal variation. The article gives a mechansm based on the axis tilt of the earth with a different velocity ( and centr@ifugal force) of the earth hemispheres in the rotation around the sun according to the seasons.
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In the oil and gas industry, for technical, economic, and similar reasons, well-Log running is done from special intervals. Therefore, to build comprehensive models for field development, we will need more information at different depths. Today, with advances in numerical methods, especially machine learning and deep learning methods, we can use their help to eliminate these data gaps. Of course, there are methods such as rock physics that are very practical. But according to my results, part of which is described below. It is better to combine the rock physics method with the deep learning methods, in which case the results will be amazing. I selected wells from the Poseidon Basin in Australia for testing and got good results. In this study, by combining the rock physics method and deep learning (CNN + GRU), the values ​​of density, porosity, and shear wave slowness were predicted. A comprehensive database of PEF, RHOB, LLD, GR, CGR, NPHI, DTC, DTS, and water saturation logs was prepared and used as training data for the wells. The below figure is the result of a blind well test for Torosa well in the Poseidon Basin, Australia. As you can see, the prediction results are very close to the measured values ​​of shear wave slowness in this well.
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You can use Machine learning algorithm to learn the data trends, where it is available and what parameters the data depend on, then use the algorithm to predict the data where they are missing the relationships learn from the training.
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Hello to all experts, researchers!
A charming best wish for you all!. In this economic era, in case of mineral industries, it is very crucial to obtain information about the approximate volume of the ore bodies concealed in the subsurface of the zone of interest for future purposes. I like request you all to make your own insight in the following points
1. Which near surface geophysical methods have the potential to give best estimation on the volume of the ore bodies
2. In this case, which algorithms can be potential with highest accuracy?
3. Is it possible to predict the volume of the ore bodies sing only high resolution ground gravity and magnetic data? (Supposed bore hole data is available)
4. Best geophysical approaches for this purpose
4. Any specific Literature like to suggest regarding this
Thank you in advance
Sincerely
Dr. S Mondal
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Visit kindly the following useful RG link:
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I intend to seek supervising professors and a university in Petroleum Engineering to do a PhD either in Canada, US, or the UK. But my undergrad studies was in geology with a minor in Petroleum technology, and my Masters thesis was basically geophysics and petroleum geology oriented. I want to know if I stand a chance of getting into a Petroleum engineering program for a PhD.
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Oil and Gas are a set of mixed applied Sciences, Dear Ali ELIHU AFANYU Ambe
When I entered the Venezuela oil industry in 1995, the first training course I had was in Petroleum Engineering, I worked in the exploration seismic division.
You will have to improve your skill in fluids, but your Applied Geology expertise will be a key point in your application since it is a difficult subject.
As more fields of the Oil and Gas industry you dominate, best for your career.
Best Regards.
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Conventional geophysics have been deployed and observed to be the methods of choice (magnetics and electrical sounding). Is it possible to distinguish the different types of iron ores from the identified anomaly, eg can one distinguish magnetite from hematite? The correct answer and contributions to this question will be greatly appreciated...
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Never adjust a method to your needs and wants as there exist a better method easily available: MINERALOGY. You will always be discontented with your approach in comparison with the results of existing more effective methods.
This is economic geology.
HGD
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I am working on 2D pre-stake marine seismic sections and I need to make Surface Related Multiples Elinmiantions (SRME) by using REVEAL. Unfortunately, this is the first time for me to deal with seismic processing and reveal. I finished the first five steps which are Importing a SEGY, Survey QC, Creating a project binning, Sorting to CMP, and Velocity Analysis.
Now I am trying to apply SRME flow and I started with SRMENearInsert but when I submit the flow an error appears every time. So I need someone who has experience in seismic processing to help me to solve this problem.
I attached some screenshots for a seismic section sorted to CMP, input and parameters for SRMENearInsert, and the error.
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We working on Land seismic data processing, But unfortunately, We are not working with ShearWater REVEAL. We working with (CGG's GEOVATION, and WestrenGeco OMEGA).
I think you must check your first Offset, you are input Zero value for the first offset, so, I think this is a false value.
you can read the error messages carefully.
with my best regards.
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I need help on getting a research topic for my PhD dissertation, in the fields of seismics and earthquake geophysics. I will also appreciate suggestions in the field of hydrogeology.
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We have a problem with small earthquakes caused by a man-made lake (probably) in the Churchill area of Manitoba, Canada.
There were no earthquakes before, but as soon as the artificial lake (called Stephen's Lake) was constructed for hydroelectric development, we started getting many small earthquakes up to about magnitude 4. Those working for Hydro will tell you that something else is causing the quakes.
The matter needs to be resolved.
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I am working on subsurface crustal modelling. I am looking for suggestions related to geophysical techniques and software interpretations.
Regards
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Dear Ayaz Mohmood Dar:
The Moho, the boundary separating the Earth's crust from the mantle, is defined from seismic methods, an increase in seismic velocity at the crust-mantle interface, gravity (an increase in density), and magnetic (a reduction in magnetic susceptibility).
As concerning the deep structures, geophysical studies based on seismic - deep seismic and wide-angle reflection/refraction profiling - and potential field data, providing information on the Moho depth. The seismic reflection/refraction is the finest imaging, but its coverage in general words is always not available or insufficient, or for low detail to carried out crustal velocity models by using depth distribution and kinematic info from hundreds of seismological focal mechanisms or by limited size-area. Therefore, I suggest that if your research is related to the Moho boundary, used integrating information from gravity, magnetic, seismological data, wide-angle reflection/refraction seismic, and structural geology.
A couple of software-related with gravmag modeling and inversion:
IGMAS+ is software for 3-D modeling of potential fields and their derivatives under the condition of constraining data and independent information.
IGMAS+ website for more information: www.gfz-potsdam.de/igmas
Geosoft Oasis Montaj (the best for me):
Geophysical Software Solutions Pty for gravity and magnetic:
Best regards, Mario E. Sigismondi
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What is the initial information required for GM-SYS modelling in Geosoft Oasis Montaj other than importing potential field data?
I want to create a model in GM-SYS. Sometimes it needs only 2 layered model(basement and upper surface ---is it basement modelling?) and sometimes it requires multiple layers with complex structures.
Without getting additional information from any other survey than potential field data of a virgin area (mining field) ... only geological information is available but in a general view ....is it still possible to create a 2d model of magnetic anomaly data of the available area?
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Documentation on the use of GMSYS in modeling subsurface density, susceptibility and geometries; Initial model requirements for both joint (gravity and magnetic) 2D modeling and 3D structural inversion and comparison with others automatic inversion techniques are documented " "
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I want to work my PHD thesis with data of Remote Sensing and Geophysics and want some one to work in this section and be my advisor and we would have some articles in this section if it would be possible.
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First of all you need to identify your research problem, questions you need to address as well as gaps that want to fill-up.
Knowing all the aforementioned above, you can apply remote sensing and magnetic method for mineral exploration etc.
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Geophysical model for
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I believe you can investigate Karst and fractured water using TEM and DC methods
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How can I optimize the positions of sensors (Broadband Accelerometers) around a meter scale experimental site to record the microcosmic signals ???
Simulation of sensors around a source before going into field
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This is a good question.
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Dear all,
   Am testing AVO Envelope attributes  calibration between well and seismic. The work involved rock physics, seismic forward model, facies model and AVOE derived from seismic.
  I have read about BP method ( far envelope - near envelope)/far envelope. But lost the reference. Appreciate if someone can help me by sharing literature review particularly on AVOE. 
Best regards
Haslina
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Dear Haslina Mohamed, I suggest you before testing AVO envelope attribute, apply the AVO gradient analysis of your reservoir, both, on prestack seismic dataset (real gathers) and well-logs (synthetic gathers) and try to understand which one Rutherford and Williams (1989) class of AVO are you looking for. This methodology will help you to use, then, the best math operator following the AVO anomaly, Class I, II, IIp or III (Class IV, Castagna and Swan, 1997, is an exceptional case that occurs when the shear velocity of the overlain layer is higher than of the gas sand; which is the case when a porous gas sand is overlain by a high-velocity unit, such as a hard shale either siliceous or calcareous, siltstone, tightly cemented sand or a carbonate).
Let me explain a little more: the AVO gradient analysis using three term Aki – Richards´ equation, are based on combinations of Intercept, Gradient and Curvature, but for the default case (angle-gathers have the last word!), I recommend to:
1) start with the two-term Aki - Richards´ analysis, that give to you two separate volumes: Intercept (A) and Gradient (B), an analogous as Near and Far attributes that you mention, respectively.
Therefore, you can
2) use combination of math attributes, such as, not only (B-A)/B but also A*B; A+B. Let me give you an example: Imaging that you have at the top of the reservoir a Class II AVO anomaly, therefore, the product of Intercept (Near) and Gradient (Far) is not appropriate, neither the (B-A)/B. Therefore, knowing before that you are in a Class II AVO anomaly, you must do the sum of Intercept and Gradient (A+B), that is an equivalent of the attribute Scaled Poisson´s ratio change... strong negative response indicating a drop in Poisson´s ratio, while at the base of the reservoir you can see a positive response, indicating an increase in Poisson´s ratio.
One final change we would like to make is to 3) calculate the Amplitude Envelope of the derived AVO attribute. If you are working with the Hampson & Russell software, 4) you can customize this workflow created in your project.
At last idea to share with you and colleagues: the data preparation for AVO analysis is extremely important. The presence of noise, whether coherent or random, has a negative effect on AVO analysis. Amplitude scaling processes such as AGC may in fact reduce the noise, but they destroy the real amplitude relationships of the data and are thus not acceptable. Surface consistent processing together with residual amplitude decay and residual NMO analysis contribute towards a robuster AVO result.
I attach a wonderfull synthesis: "The anatomy of AVO crossplots" by Simm, White and Uden (TLE, February 2000, Society of Exploration Geophysicists, Tulsa, OK).
Please, let me know if you have comments, questions, ideas of interesting.
Best regards, Mario E. Sigismondi
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I have collected the ground magnetic data at an interval of 25m in gridded rectangles. How can I acutely utilize voxi model(Geosoft Montaj) for the TMI Data. Also, I am trying to analyze the geological faults in 3D models also. Hope for effective suggestions
Thank You
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Hi Ayaz, I hope this video tutorial can help you with voxi modeling using oasis montaj : https://youtu.be/DKTAkf-oCbI
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I'm doing a research to get updates about geophysical applications in mining.
Would be thankful if you can provide me with data/material/ course regarding up to date techniques.
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Hello everybody. I am a student at the end of my bachelor's degree in marine geology. I'm looking for proposals and suggestions for the end of the course work. In particular, I would be interested in geophysical methods (petrophysical, seismic,) and Coastal geology. That said, I evaluate proposals in all areas of Marine Geosciences.
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Satellite driven data integrated with local geology will give you good suface control and then seismic stratigraphy integrated with well loh sequence stratigrpahy can help you demarcate pockets suitable for hydrocarbons
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Does anyone know where I can get any free 3-D smoothing spline code for irregular data in fortran?
I've used 1-D and 2-D code from Inoue, H., 1986: A least-squares smooth fitting for irregularly spaced data: Finite-element approach using the cubic B-spline basis. Geophysics, 5, 2051–2066.
cheers, arthur
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Thanks for raising such an interesting question. Probably some people would be interested in the following special issue.
"Modern Geometric Modeling: Theory and Applications II" (IF=2.258) (Deadline: February 28, 2022)
The scope of the Special Issue includes but is not limited to original research works within the subject of geometric modeling and its applications in engineering, arts, physics, biology, medicine, computer graphics, architecture, etc., as well as theoretical mathematics and geometry which can be applied to problems of geometric modeling. For this Special Issue, we plan to accept the following types of manuscripts:
  • Overviews;
  • Research manuscripts;
  • Short manuscripts which discuss open problems in geometric modeling.
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For the RHUM-RUM project, we are writing a SKS paper and I try to review SKS measurements carried out in the context of Mantle Plumes with or without ocean-bottom seismometers.
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Hello, We are now making a second attempt at the Cape Verde. I will keep you informed.
Vest regards
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this question is about space geophysics
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I agree with Jeffry's reply. Alaa asked about GIC data in Egypt, she really be challenged. I'd like to advise her to clearly show her point of view.
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I want to know about theory of the upward continuation and why do we use upward continuation and down ward continuation? Other thing is what is the relationship between the filtration and up/downward continuation?  
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Just to add to the answers already provided, upward continuation enhances deep structures. So, if your interest is to investigate deep regional structures, then upward contunuation should be your choice of enhancement technique.
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Dear All,
I am currently looking for different international examples (papers) of soviet-type/Russian-type geophysical well-log interpretation and application.
This type of archival, geophysical devices were widely used mainly in Europe and Asia in the 1960s-90s. The main difficulty is the proper standarization of this quite specyfic kind of measurements.
I have already found some examples from Poland, but I would like to apply my research to a broader, international perspective. I cannot find any examples from any different area even though I know that these measurements have been used in many countries around the world.
I would really appreciate your help.
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Dear Sara, During the 1990s I was among a group of geoscientists working in the former Soviet Union who produced a book called "Russian Style Formation Evaluation", which was published jointly by the London Petrophysical Society and the Geological Society of London. It was a guide to using Soviet-style well logs. It in now out-of-print, and available second-hand on-line but quite expensive, although you may find it in a library. I've worked a lot with Soviet-style logs, but on a commercial basis so no papers published I'm afraid. Regards, Graham
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This method gives a good or more or less depth by potential field data.
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one of methods is Normalized Full Gradient. it useful in detect source
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I am looking for gravity data with high resolution on the Red Sea Rifted Margin (Lat 22-27, Long 33-38), I've downloaded data from the XYZ data website with a resolution of 1.82 km, unfortunately, it is not good enough to achieve my objectives!!. So If anyone knows another source I will be grateful.
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Hi Moamen,
I am not sure if there are any sources of processed and gridded high resolution gravity data for the Red Sea region - this might exist in a national data archive or academic institutions?
Having said that, there are a few sources of raw and processed ship-bourne data available - but I always check the US ngdc/NOAA database first (https://maps.ngdc.noaa.gov/viewers/geophysics/), and tend to find this sufficient for most needs. The ngdc database tends to archive data from research cruises carried out by various research groups, and is the most comprehensive to my knowledge (you can get pretty much any marine geophysical data you could want). There is a user-friendly map browser, and you can normally extract data from research cruises in the region for free, as long as the data are not embargoed. You will then have to check if/how the data are processed, merge them, and grid them into a useable dataset. There may be regions where you can achieve a resolution that is sub-kilometer, but it really depends on the trackline spacing!
If you have access to other sources (airborne, land for the sea margins?) then you may be able to integrate the various datasets to improve the dataset resolution further.
Good luck with getting your hands on appropriate datasets, and with your research!
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Dear colleagues
I would like to have your kind opinions on the issue that concerns rock mechanics and geophysics in relation to it, for a very specific problem I have.
I have attempted to find a range in the Barton’s graph (Barton 1995), for Qc vs Vp, which applies to the rock masses which I study (those of Doha, Qatar). However, I only have data from MASW geophysical surveys, which yield only Vs.
Hence, I looked for a way to convert Vs values range into a Vp range. I came to discover that there is a very active Nigerian scientific community which deals with geophysical research at their home turf. So I came across the below expression
ni(poisson) = [(Vp/Vs)^2 - 2]/[2(Vp/Vs)^2 - 2]
from which Vp can be obtained from Vs, with a known Poisson’s ratio. The formula is from a paper by Atat et al. (2012).
Qatari rock masses are sedimentary limestone and dolomite soft to medium hard rock masses situated in a very flat terrain (so there is no need for obtaining Vp, I suppose), and in the above paper, the Authors have used the formula on sedimentary shale layers of Niger delta.
Would you use this formula without reservation, for Vs to Vp conversion, regardless of rock (mass) type?
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Dear Hrvoje, in your scenario of rock samples in lab , in your depth's range 30 - 40 m, I DO NOT HAVE EXPERIENCE, my answer is thinking about E&D well-logs + seismic.
Best regards Sir, Mario
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Dear all, I'd like to open here a sort of forum for understanding how the geodesists community is moving in view of the X-band SAR satellite constellation. The new constellation will offer new "free, near real-time SAR data" with the "latest information about any spot on the planet within the hour". This will open completely new horizons for InSAR monitoring of ground deformation especially for rapid phenomena such as eruptions and seismic crises. The huge amount of so frequent data acquisitions will open also new needs for rapid and automatic processing. My question are: who knows more? Are you planning a routine use of these data? How?
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"Capella makes a portion of its historical archived imagery available through the Open Data Program".
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Dear Colleagues,
I am glad to find you well and healthy. I hope to provide me any references, notes, lectures, or links that can help me making a complete and perfect course about the "Basin and Petroleum System Analysis" and "PetroMod Software" to be used in undergraduate learning syllabus.
Best wishes,
Rami.
Assist. Prof. Rami M. Idan
Petroleum Geologist Ministry of Higher Education and Scientific Research
Al-Karkh University of Sciences College of Remote Sensing and Geophysics 
Department of Geophysics E-mails: ramisc3@kus.edu.iq ramisc3@gmail.com
Phone: 009647703939509
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Dear Dr Rami
I have worked on Petromod and published a few papers using the outcome of this software. I generated thermal and burial history models as well as HC generation model. I have mentioned a youtube link which may be useful to you. Furthermore, I can also help and guide you through zoom video sessions.
All the best.
Profound Regards
Talha Qadri
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How we can identify clay from groundwater zones using geophysical methods!
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using induced polarization measurements (IP) usually clay have higher changeability than groundwater
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How to establish a regional shear zone using Geophysical databases such as gravity, magnetic, and seismic anomalies and tomographic models.
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Dear all:
If you are using the term “shear-zone” such as the area that characterize rheological and /or mechanical irregularities / anomalies both, laterally / horizontally and vertical planes, that impact in the tectonic style / structural evolution / phases of deformation, the geophysical methods play a critical role to illuminate it sites. Possibly the most useful tool to establish or identified a regional shear zone is by 3D time-slices / horizon-slices from 3D seismic volume, and gravity / magnetic images from grids (continental / regional / local surveys) or depth-slices from 3D gravity / magnetic inversion / modeling.
A couple of pictures can help to imaging the concept using different tools and scales: from 3D time-slice seismic / local-scale (figure 1); also, magnetic / regional-scale grid (figure 2) and gravity / continental-scale grid (figure 3).
Best regards, Mario E. Sigismondi