Journal of Geophysics and Engineering Impact Factor & Information

Publisher: Nanjing shi you wu tan yan jiu suo; Institute of Physics (Great Britain), IOP Publishing

Journal description

Published by the Nanjing Institute of Geophysical Prospecting and the Institute of Physics, this major new publication promotes research and developments in geophysics and related areas of engineering. It has predominantly an applied science and engineering focus, but also publishes contributions in all earth-physics disciplines from global geophysics to applied and engineering geophysics.

Current impact factor: 0.78

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 0.778
2013 Impact Factor 0.895
2012 Impact Factor 0.721
2011 Impact Factor 0.634
2010 Impact Factor 0.805
2009 Impact Factor 0.787
2008 Impact Factor 0.621
2007 Impact Factor 0.762
2006 Impact Factor 0.839
2005 Impact Factor 0.86

Impact factor over time

Impact factor

Additional details

5-year impact 0.86
Cited half-life 4.60
Immediacy index 0.06
Eigenfactor 0.00
Article influence 0.29
Website Journal of Geophysics and Engineering website
ISSN 1742-2140
OCLC 60310620
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

IOP Publishing

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
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  • Conditions
    • Pre-print on author's personal website, repository or arXiv.
    • Pre-print can not be updated after submission
    • Post-print on author's personal website immediately
    • Post-print on institutional repository, subject-based repository, PubMed Central or third party eprint servers after 12 months embargo
    • Publisher's version/PDF cannot be used
    • Published source must be acknowledged with citation
    • Must link to publisher version with DOI
    • Set statements to accompany different versions (see policy)
    • Publisher last contacted on 17/02/2014
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: More than 30% of hydrocarbon reservoirs are reported in carbonates that mostly include evidence of fractures and karstification. Generally, the detection of karstic sinkholes prognosticate good quality hydrocarbon reservoirs where looser sediments fill the holes penetrating hard limestone and the overburden pressure on infill sediments is mostly tolerated by their sturdier surrounding structure. They are also useful for the detection of erosional surfaces in seismic stratigraphic studies and imply possible relative sea level fall at the time of establishment. Karstic sinkholes are identified straightforwardly by using seismic geometric attributes (e.g. coherency, curvature) in which lateral variations are much more emphasized with respect to the original 3D seismic image. Then, seismic interpreters rely on their visual skills and experience in detecting roughly round objects in seismic attribute maps. In this paper, we introduce an image processing workflow to enhance selective edges in seismic attribute volumes stemming from karstic sinkholes and finally locate them in a high quality 3D seismic image by using circular Hough transform. Afterwards, we present a case study from an on-shore oilfield in southwest Iran, in which the proposed algorithm is applied and karstic sinkholes are traced.
    Journal of Geophysics and Engineering 10/2015; 12(5). DOI:10.1088/1742-2132/12/5/764
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    ABSTRACT: The adaptive optimized window generalized S transform (AOGST) variant with frequency and time is a method for the time–frequency mapping of a signal. According to the AOGST method, an optimized regulation factor is calculated based on the energy concentration of the S transform. The value of this factor is 1 for standard S transform where in the AOGST method its value is limited by the interval of [0, 1]. However, AOGST may not produce an acceptable resolution for all parts of the time–frequency representation. We applied aggregation of confined interval-adaptive optimized generalized S transforms (ACI-AOGST) instead of the AOGST method. The proposed method applies the modified AOGST method to specific frequency and time intervals. By calculating regulation factors for limited frequency and time intervals of signal, arranging them in a suitable order and applying the ACI-AOGST one can provide a transformation with lowest distortion and highest resolution in comparison to other transformations. The proposed method has been used to analyse the time–frequency distribution of a synthetic signal as well as a real 2D seismic section of a producing gas reservoir located south of Iran. The results confirmed the robustness of the ACI-AOGST method.
    Journal of Geophysics and Engineering 10/2015; 12(5). DOI:10.1088/1742-2132/12/5/770
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    ABSTRACT: On 4 September 2010, a MW 7.1 earthquake struck the Canterbury region of the South Island of New Zealand. Widespread liquefaction caused major damage to many structures, including the flood-control stopbanks along the lower reaches of the Waimakariri and Kaiapoi Rivers. Additional damage occurred during the subsequent MW 6.2–6.3 earthquakes of 22 February and 13 June 2011. Repeated LiDAR surveys indicated that up to 1 m of subsidence occurred in places. Visual inspections identified areas of significant damage, which have been repaired. However, internal damage to the stopbanks cannot be recognized by visual inspection. Thus electromagnetic (EM) and ground penetrating radar (GPR) surveys were undertaken.A pilot study was completed upstream of the confluence of the two rivers, along the northeast segment of the Waimakariri stopbanks and the southwest section of the Kaiapoi stopbanks. A complementary horizontal loop EM (HLEM) survey was carried out in advance of the GPR surveys. The HLEM measurements were done with the instrument oriented both parallel and perpendicular (transverse) to the stopbanks. Anomalous HLEM responses were noted at one location; subsequent GPR surveys indicated a change in the style of stopbank construction and repair, and possibly some internal cracking. HLEM readings were also taken at high and low tide levels along the tidally-influenced lower Kaiapoi River, and significant differences were observed. Finally, during the surveys, a surface crack was observed at one location, and a GPR line across that site suggested that the crack extended to depth.The results were complemented by velocity analyses using subsurface diffractions, and velocity variations were noted along the lengths of the stopbanks. The velocity changes appear to be broadly correlated with changes in the HLEM conductivity, which is not unexpected given the effects of water content and clay content on both the electrical conductivity and the GPR velocity.
    Journal of Geophysics and Engineering 10/2015; 12(5). DOI:10.1088/1742-2132/12/5/857
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    ABSTRACT: Reservoir fluid discrimination is an indispensable part of seismic exploration. Reliable fluid discrimination helps to decrease the risk of exploration and to increase the success ratio of drilling. There are many kinds of fluid indicators that are used in fluid discriminations, most of which are single indicators. But single indicators do not always work well under complicated reservoir conditions. Therefore, combined fluid indicators are needed to increase accuracies of discriminations. In this paper, we have proposed an alternative strategy for the combination of fluid indicators. An alternative fluid indicator, the rock physics template-based indicator (RPTI) has been derived to combine the advantages of two single indicators. The RPTI is more sensitive to the contents of fluid than traditional indicators. The combination is implemented based on the characteristic of the fluid trend in the rock physics template, which means few subjective factors are involved. We also propose an inversion method to assure the accuracy of the RPTI input data. The RPTI profile is an intuitionistic interpretation of fluid content. Real data tests demonstrate the applicability and validity.
    Journal of Geophysics and Engineering 10/2015; 12(5). DOI:10.1088/1742-2132/12/5/830
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    ABSTRACT: Currently, increasing the proportion of highly efficient wells is of great significance for enhancing both the reservation and production of the carbonate reservoirs in the Tarim Basin. Research has shown that the relationship between P-wave velocity and gas saturation is mostly nonlinear, which implies that velocity information or velocity-related parameters are not available for highly efficient well identification. Based on the differences between highly efficient wells and the others, a new type of efficient-sensitive factor is established by summarizing the pre-stack elastic information of the highly efficient ones, which takes into account the combination of density and porosity. Then, the effectiveness of this factor is verified by practical production in the Tazhong area, which demonstrates that the constructed factor is remarkably sensitive to highly efficient wells, while low efficiency wells, water wells and mud filled wells always fail. Furthermore, an approximate linear relationship is achieved between cumulative production and the efficient-sensitive factor, which can be used as an important indicator for commercial reservoir evaluation and highly efficient well optimization.
    Journal of Geophysics and Engineering 10/2015; 12(5). DOI:10.1088/1742-2132/12/5/887
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    ABSTRACT: With the ability to provide complete profiles of pseudocolor image formation, IL (imaging logging) measures directionally, thereby offering a possible alternative to drilling and coring. This paper, relying mainly on IL information but also referring to formation dip angle logging information, details sandstone lamina dips and identifies sedimentary body dips, and sums up a practical palaeo-provenance direction judgment method using heavy mineral data analysis. By identifying a fine sandstone reservoir through an IL lithological model, a bedding model and a rhyme model, a 1D pseudoresistivity curve (named the ‘IL rhythm curve’) is, according to IL image analysis, extracted to assist in the interpretation of sedimentary microfacies and to establish an IL single-well facies analysis profile, overcoming an observance difficulty of IL in silty sandstone regions and intuitively displaying whole-horizon sedimentary evolution. As for a glutenite formation, calibrating IL information by rock cores, a single-well facies sequence of IL is established by identifying the Bouma sequence, high-density turbidity succession, the middle fan braided channel, the outer fan mudstone and other microfacies sequences, finely dividing the sedimentary facies sequence about sedimentary stage.
    Journal of Geophysics and Engineering 10/2015; 12(5). DOI:10.1088/1742-2132/12/5/820
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    ABSTRACT: The Kuster–Toksöz (KT) model is a classical rock physics model concerning the influence of pore geometry on elastic wave velocities. However, this model is limited to a dilute concentration of pores, which means the porosity cannot be too high. In order to overcome this limitation, this paper transforms the KT model into a new differential Kuster–Toksöz (DKT) model. In other words, we propose a process in which porosity with certain geometries increases step by step from zero up to its final value. The simulation of the new model notably shows that it is superior to the classical KT model and the differential effective medium model since it takes multiple–porosity and higher porosity rocks into consideration. Furthermore, by combining the DKT model, the Gassmann equation and the Voigt–Reuss–Hill average equation, a S-wave velocity prediction procedure is proposed under the constraint of the P-wave velocity which is from the logging data. The new method is applied to both the measured data in laboratory and well data in logging. The results show that the predicted S-wave velocities match well with the measured ones, especially for data with high porosity. By comparing estimated S-wave velocity deduced from the new method and the KT model, the results demonstrate that the new method is effective for S-wave velocity prediction.
    Journal of Geophysics and Engineering 10/2015; 12(5). DOI:10.1088/1742-2132/12/5/839
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    ABSTRACT: Drilling ultra-short radius horizontal laterals in a vertical well and then operating hydraulic fracturing (radial lateral fracturing, abbreviated as RLF) is proposed as a prospective novel method to increase the single-well productivity for coalbed methane (CBM) development. The objective of this article is to find the best fracture network profile RLF can generate and what kind of formation is suitable for this fracturing technique. Experiments using a true tri-axial fracturing simulation system are designed to analyse the influence of different lateral length, count and azimuth on the fracturing initiation and propagation. A numerical simulation is also carried out to study the sensitivity of the coal integrity and in situ stress state on the fracture initiation type. Our work shows that: the best effect of RLF is achieved when it initiates from the bedding plane where the laterals lie and forms a fracture network with one main horizontal fracture connecting multiple vertical fractures; the breakdown and injection pressure will be decreased by increasing the lateral length and count; increasing the lateral length can enlarge the horizontal fracture area; the optimal lateral design for horizontal initiation is four laterals with the phase of 90° and each lateral is at 45° from the horizontal stress; RLF is suitable for the intact coal seams in which cracks or cleats are not well developed and the overburden stress should be close to or less than the maximum horizontal stress. This paper will provide the experimental support and theoretical bases for CBM RLF design.
    Journal of Geophysics and Engineering 10/2015; 12(5). DOI:10.1088/1742-2132/12/5/875
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    ABSTRACT: Shale content is known in reservoir evaluation as an important parameter in well logging. However, the log response characteristics are simultaneously affected by shale and tuff existing in tuffaceous sandstone reservoirs. Due to the fact that tuff content exerts an influence on the calculation of shale content, the former is equally important as the latter. Owing to the differences in the source and composition between shale and tuff, the calculation of tuff content using the same methods for shale content cannot meet the accuracy requirements of logging evaluation. The present study takes the tuffaceous reservoirs in the X depression of the Hailar–Tamtsag Basin as an example. The differences in the log response characteristics between shale and tuff are theoretically analyzed and verified using core analysis data. The tuff is then divided into fine- and coarse-grained fractions, according to the differences in the distribution of the radioactive elements, uranium, thorium and potassium. Next, a volume model suitable for tuffaceous sandstone reservoirs is established to include a sandstone matrix, shale, fine-grained tuff, coarse-grained tuff and pore. A comparison of three optimization algorithms shows that the particle swarm optimization (PSO) yields better calculation results with small mean errors. The resistivity differences among shale, fine-grained tuff and coarse-grained tuff are considered in the calculation of saturation. The water saturation of tuffaceous reservoirs is computed using the improved Poupon’s equation, which is suitable for tuffaceous sandstone reservoirs with low water salinity. The method is used in well Y, and is shown to have a good application effect.
    Journal of Geophysics and Engineering 10/2015; 12(5). DOI:10.1088/1742-2132/12/5/810
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    ABSTRACT: The expendable conductivity-temperature-depth (XCTD) profiler is often used for ocean depth measurement and uses an enameled wire transmission channel. However, the changing impedance characteristics of the dynamic real-time channel affect the stability of the signal transmission. In this paper, we study the XCTD of China, using a deep-sea abandoned measuring instrument transmission channel as the original model, we present: (a) a method for establishing a time-varying channel model; (b) accurate computation of the transmission cable and spool cable distributed capacitance, winding inductance and distributed resistance; (c) a discussion on the impedance values generated by the coupling effect of seawater. The establishment of the channel transfer function model illustrates the effects of the time-varying channel on the signal transmission performance and can improve the signal transmission capacity by providing a theoretical basis for analysis of the XCTD channel.
    Journal of Geophysics and Engineering 10/2015; 12(5). DOI:10.1088/1742-2132/12/5/849
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    ABSTRACT: Cation exchange capacity (Q v) is a key parameter in resistivity-based water saturation models of shaly sand reservoirs, and the accuracy of Q v calculation is crucial to the prediction of saturations of oil and gas. In this study, a theoretical expression of Q v in terms of shaly sand permeability (K shaly-sand), total porosity (Φ t), and salinity of formation water (S) is deduced based on the capillary tube model and the physics volume model. Meanwhile, the classical Schlumberger–Doll research (SDR) model has been introduced to estimate K shaly-sand. On this basis, a novel technique to estimate Q v from nuclear magnetic resonance (NMR) logs is proposed, and the corresponding model is also established, whose model parameters are calibrated by laboratory Q v and NMR measurements of 15 core samples from the Toutunhe formation of the Junggar Basin, northwest China. Based on the experimental data sets, this technique can be extended to reservoir conditions to estimate continuous Q v along the intervals. The processing results of field examples illustrate that the Q v calculated from field NMR logs are consistent with the analyzed results, with the absolute errors within the scope of ±0.1 mmol cm−3 for the majority of core samples.
    Journal of Geophysics and Engineering 10/2015; 12(5). DOI:10.1088/1742-2132/12/5/745
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    ABSTRACT: The strength of rocks subjected to cyclic stress and temperature variations must be determined to ensure the stability of caverns for underground compressed air energy storage. This paper proposes a strength criterion for rocks subjected to cyclic stress and temperature variations; the proposed criterion is based on the least energy dissipation principle and the rock damage induced by cyclic stress and temperature effects. The cyclic uniaxial stress-temperature tests and uniaxial compression tests after cycling are conducted to validate preliminarily the proposed criterion. The applicability of the proposed strength criterion and the influence of damage factor selection are discussed. The proposed strength criterion has a clear physical meaning and only involves four parameters to be determined. The predicted rock strengths are in good agreement with the laboratory test results, confirming the applicability of the proposed criterion. The proposed strength criterion can degenerate into certain existing criteria. Moreover, the damage factor is suggested to be calculated with the use of the peak secant modulus when the proposed strength criterion is applied.
    Journal of Geophysics and Engineering 10/2015; 12(5). DOI:10.1088/1742-2132/12/5/753
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    ABSTRACT: Shale oil is a key resource that could mitigate the impending energy shortage in the future. Despite its abundance in China, studies on shale oil are still at the preliminary stage. Shale oil development through CO2 flooding has been successfully implemented in the United States. Therefore, the mechanics of CO2 flooding in shale oil reservoirs should be investigated. This study applies a simulation method to evaluate the development efficiency of CO2 flooding in shale oil reservoirs. Near-miscible CO2 flooding can effectively develop shale oil. After 20 years, recovery could improve by up to 9.56% as a result of depletion development under near-miscible CO2 flooding with 0.5% pore volume gas injection. Horizontal well injection is better than vertical well injection in terms of sweep efficiency and recovery. Cyclic gas injection is superior to continuous gas injection because the former reduces gas channelling. Thus, the use of horizontal wells with near-miscible cyclic gas injections has the potential to effectively develop shale oil reservoirs.
    Journal of Geophysics and Engineering 08/2015; 12(4). DOI:10.1088/1742-2132/12/4/702
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    ABSTRACT: Blended acquisition significantly improves the seismic acquisition efficiency. However, the direct imaging of blended data is not satisfactory due to the crosstalk contamination. Assuming that the distribution of subsurface reflectivity is sparse, in this paper, we formulate the seismic imaging problem of blended data as a Basis Pursuit denoise (BPDN) problem. Based on compressed sensing, we propose a L1 norm constrained migration method applying to the direct imaging of blended data. The Fast Iterative Shrinkage-Thresholding Algorithm, which is stable and computationally efficient, is implemented in our method. Numerical tests on the theoretical models show that the crosstalk introduced by blended sources is effectively attenuated and the migration quality has been improved enormously.
    Journal of Geophysics and Engineering 08/2015; 12(4). DOI:10.1088/1742-2132/12/4/620
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    ABSTRACT: Contamination of seismic signal with noise is one of the main challenges during seismic data processing. Several methods exist for eliminating different types of noises, but optimal random noise attenuation remains difficult. Based on multi-scale, multi-directional locality of curvelet transform, the curvelet thresholding method is a relatively new method for random noise elimination. However, the high redundancy of a 3D curvelet transform makes its computational time and memory for massive data processing costly. To improve the efficiency of the curvelet thresholding denoising, a low-redundancy curvelet transform was introduced. The redundancy of the low-redundancy curvelet transform is approximately one-quarter of the original transform and the tightness of the original transform is also kept, thus the low-redundancy curvelet transform calls for less memory and computational resource compared with the original one. Numerical results on 3D synthetic and field data demonstrate that the low-redundancy curvelet denoising consumes one-quarter of the CPU time compared with the original curvelet transform using iterative thresholding denoising when comparable results are obtained. Thus, the low-redundancy curvelet transform is a good candidate for massive seismic denoising.
    Journal of Geophysics and Engineering 08/2015; 12(4). DOI:10.1088/1742-2132/12/4/566
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    ABSTRACT: A lot of research on the 2D or 3D effects of large-scale basins (within several kilometers depth) have been conducted in the past. However, different 2D aspects of small-scale sedimentary basins (within tens of meters depth) remain in the developing stage. Here, an attempt is made to analyze different aspects of small-scale basins using both numerical and empirical investigations. In the first step, the 2D effects of small-scale basins on strong motion characteristics are numerically examined both in the time and frequency domains. In addition, the effects of input motion are also explained by the results of model excitation in different orthogonal directions. Then, the numerical outcomes are verified by the analysis of actual earthquake data recorded at a downhole array in the Fujisawa small basin, Japan. In the second step, since available recorded earthquake data in small basins with a clear understanding of subsurface geology are very limited, different 2D aspects of the small basin are parametrically investigated. For this purpose, extensive parametrical studies are carried out on the main features of a small basin such as slope angle, shape, infill soil properties, and basin thickness by using the finite difference numerical method. The horizontal and vertical peak ground accelerations of 2D with respect to 1D ones are defined as the horizontal and vertical aggravation factors (AGH and AGV ). The AGH and AGV factors show large sensitivity to infill soil properties, shape and thickness, and small sensitivity to slope angle. The values of AGH and AGV factors vary in the range of 0.5–2 with large variations around small basin edges due to wave coupling, conversion, scattering and focusing in the vicinity of small basin edges. These cause a complicated pattern of 2D de-amplification and amplification, which mostly affect the motion in the high frequency range (>1 Hz). Finally, the outcomes provide numerical and field evidence on the 2D effects of small basins, and give some recommendations for design codes.
    Journal of Geophysics and Engineering 08/2015; 12(4). DOI:10.1088/1742-2132/12/4/535
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    ABSTRACT: Sandstone reservoirs have generally high porosity in the Shawan formation of the Chunguang oil field, Junggar basin, because they developed in geological conditions of shallow and weak compaction. High porosity always links lower acoustic velocities in sandstone. However, when it is more than a certain value (approximately 27.5%), the porosity is not in accordance with acoustic velocities. In addition, cast thin sections illustrated incoherence between pore types and porosity. Fluids and mineral content are the two main factors changing acoustic velocities. This means that acoustic velocities of the high-porosity sandstone are mainly affected by the mineral content and fluid properties. Hence, data from litho-electric analysis are used to measure velocities of the compression shear waves, and thin sections are used to identify the mineral content. By the application of cross-plot maps, relations of acoustic velocities and mineral contents are proposed. Mineral contents include mainly quartz, feldspar, and tuff. In normal rock physical models, the shale content is calculated from well logs. The mineral grain is often regarded as pure quartz grain or average mineral composition. However, the application of the normal rock physics model will be inaccurate for high-porosity sandstone. Experience regression functions of the velocity model are established to estimate acoustic velocities. Also, mineral content logs could be predicted by using the P-wave acoustic log, and the rock physics model would be enhanced by using these logs of dynamic mineral contents. Shear wave velocity could also be estimated more accurately.
    Journal of Geophysics and Engineering 08/2015; 12(4). DOI:10.1088/1742-2132/12/4/629
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    ABSTRACT: Estimation of in situ stresses is a key step in many petroleum engineering applications, ranging from wellbore stability to sanding analysis and hydraulic fracturing design. Direct techniques conventionally used to determine in situ stresses are indeed very time consuming and expensive. These measurements would also be restricted as to the depth of acquisition, and generalization of the results to entire rock masses may not yield representative results. In this paper, applications of three indirect methods–Zoback’s polygon, shear moduli, and poroelastic–are studied to assess their applicability in providing reliable stress estimation under isotropic and anisotropic conditions. Determination of elastic, strength, and in situ stress parameters according to the assumption of each method for one of the vertical wells drilled in south Iran indicated that the shear moduli method is an appropriate approach for prediction of maximum horizontal stress within an interval where sufficient field data including leak-off tests are acquired. However, the poroelastic method seems to be a better method in prediction of in situ stresses under anisotropic conditions. This might be due to the presence of excessive shale formations in subsurface layers, causing structural or intrinsic anisotropy-based methods such as poroelastic equations to deliver more accurate results. However, making general conclusions based on studying a single vertical wellbore may not be sufficient, and therefore further studies are required.
    Journal of Geophysics and Engineering 08/2015; 12(4). DOI:10.1088/1742-2132/12/4/657