Journal of Seismic Exploration (J SEISM EXPLOR)

Current impact factor: 0.13

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2014 / 2015 Impact Factor 0.13
2013 Impact Factor 0.286
2012 Impact Factor 0.209
2011 Impact Factor 0.318
2010 Impact Factor 0.222
2009 Impact Factor 0.25
2008 Impact Factor 0.098
2007 Impact Factor 0.224
2006 Impact Factor 0.244
2005 Impact Factor 0.206
2004 Impact Factor 0.17
2003 Impact Factor 0.222
2002 Impact Factor 0.314
2001 Impact Factor 0.132
2000 Impact Factor 0.131
1999 Impact Factor 0.172
1998 Impact Factor 0.157

Impact factor over time

Impact factor
Year

Additional details

5-year impact 0.13
Cited half-life -
Immediacy index 0.00
Eigenfactor 0.00
Article influence 0.07
Other titles Seismic exploration
ISSN 0963-0651
OCLC 25862080
Material type Periodical
Document type Journal / Magazine / Newspaper

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Waveform inversion is used to estimate subsurface velocity information using seismic datasets. To overcome the computational burden, the use of back-propagation algorithm and the pseudo-Hessian matrix are proposed. Many researchers using these algorithms have shown successful results with synthetic and field data tests. In particular, the computational efficiency of waveform inversion is improved by using a pseudo-Hessian with regularization using a virtual source vector. However, these theoretical concepts have been mainly applied to waveform inversion in the frequency or Laplace domains. We propose full waveform inversion using an estimated source wavelet with the pseudo-Hessian matrix and back-propagation in the time domain We derive the virtual source vector for the first order hyperbolic equation based on 2D staggered-grid modeling. The updated gradient direction is obtained from both the virtual source and back-propagation wavefield vectors. To improve the availability for field data sets, we also perform the source estimation using deconvolution of the observed data based on the least-squares method. In a synthetic test with a modified Marmousi2 model, the inverted velocity model obtained by the proposed waveform inversion algorithm using estimated wavelets shows similarity to the true velocity. The estimated source wavelet shows good agreement with the true source wavelet. We also test the proposed waveform inversion with field data from the East Sea, Korea. The calculated traces with the estimated source wavelet and the inverted velocity model show direct and reflection events similar to those in the real seismic traces. This confirms that the proposed algorithm can be applied to field data.
    No preview · Article · Nov 2015 · Journal of Seismic Exploration
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    ABSTRACT: Conventional deconvolution methods are based on the assumption that the seismogram is stationary; however, actual seismic data cannot satisfy the above assumption. Thus, this paper proposes a double deconvolution method in the time-frequency domain to improve the resolution of the non-stationary seismogram. First, the quadratic spectrum modeling method, in combination with the bispectrum method based on higher-order cumulants, was used to extract a wavelet from the non-stationary seismogram, and the spectrum division method was applied to the entire seismogram to perform deconvolution. Then, time-varying wavelets were extracted from the first deconvolution result in the time-frequency domain, and the residual wavelets on every point spectrum were eliminated from the seismogram by a second deconvolution. Simulation experiments and field data processing demonstrated that the proposed method overcomes the interference of adjacent strata effectively and greatly improves the resolution of the non-stationary seismogram.
    No preview · Article · Nov 2015 · Journal of Seismic Exploration
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    ABSTRACT: Theoretical and practical studies show that the subsurface media has not only the anisotropic properties but also the anelastic properties. These properties are commonly denoted by the viscoelastic model. The conventional elastic isotropic seismic wavefield simulation could not provide sufficient foundations for the modern acquisition, processing and interpretation of the seismic data. In this article, we proposed a new qP wavefield modeling method in the viscoelastic VTI media by using the one-way wave equation. The one-way wave equation method can simulate the seismic reflection wavefield fast and accurately even in complex structure areas. The method has many advantages compared with the full-way wave equation method especially in the large-scale simulation problems, such as high calculating efficiency, low memory requirement and no interference of direct and multiple waves.
    No preview · Article · Nov 2015 · Journal of Seismic Exploration
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    ABSTRACT: We present a new algorithm to measure time-lapse vertical traveltime shifts in seismic pre-stack shot and CMP gathers by tracking traces having constant horizontal slowness in tau-p space. Unlike other methods for measuring these attributes from stacked volumes, our use of pre-stack data avoids errors and uncertainties inevitably introduced in conventional time-lapse processing, such as choosing a suitable migration velocity model and cross-correlation time-window size. Results are localised to a given interval and thus free from overburden effects. This approach is used to estimate layer vertical traveltime shifts, a reservoir compaction-dilation coefficient, and hence calculate both velocity and thickness changes within a reservoir and the overburden. We demonstrate the method using synthetic reflection data generated using both a ray-based and a finite-difference full-waveform algorithms on two suites of models: a simple four-layer reservoir model; and a hydro-mechanical simulation model. We compare our estimates of layer interval vertical time-lapse traveltime shifts and velocity and thickness changes with those of the input model. The results indicate that the new tau-p time-lapse method produces sufficiently accurate results compared to conventional methods.
    No preview · Article · Nov 2015 · Journal of Seismic Exploration
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    ABSTRACT: The application of time-lapse (4D) seismology in the monitoring and development of different oilfields has proven to be valuable in reservoir characterization. Time-lapse seismology utilizes successive seismic surveys acquired during the production of a reservoir in order to monitor production related changes by measuring the difference in elastic properties of subsurface. To monitor the reservoir related changes, rather than seismic processing and acquisition changes, a calibration process should be implemented to optimize and improve the repeatability of non-reservoir zones and consequently enhance the production-related anomalies in the reservoir. We can use two different approaches in our analysis, one based on seismic horizon changes and the other based on seismic volume changes. In time-lapse seismic horizon interpretation we measure the time-shift and amplitude differences along the seismic horizons both in the base and monitor surveys. In volume interpretation, we use seismic inversion, which incorporates time and amplitude changes in the reservoir, to derive impedance volumes and thus infer both pressure and fluid saturation changes. The elastic impedance (El) inversion method proposed by Connolly (1999) is a technique used to extract elastic impedance volumes from partial angle-stack data, where elastic impedance is defined as the impedance that would be found by inverting linearized equation formulated by Aki and Richards (1980). Due to the variable scaling found at different incidence ray angles in the elastic impedance method, Whitcombe et al. (2002) normalized the technique and introduced a new technique called extended elastic impedance, or EEI, which uses the intercept and gradient volumes of standard AVO analysis as its seismic input rather than the angle-stack data, transformed using an angle (called chi) which correlates best with an elastic parameter of interest. Here, we apply both elastic impedance (El) inversion and extended elastic impedance (EEI) inversion to time-lapse data acquired over a cold production heavy oilfield. We show which chi angles correlate best with our petrophysical attributes of interest. Furthermore, we illustrate how time-lapse EEI inversion results can help to optimize the positions of new infill wells and can improve reservoir development in heavy oilfields. Rock physics provides the link between the physical properties and seismic results and also the link between subsurface physical properties and reservoir simulation models, and we therefore develop a rock physics model to explain our results. We use fluid substitution modeling to simulate the changes in the EEI log during the production of a heavy oilfield using the cold heavy oil production with sands (CHOPS) method.
    No preview · Article · Sep 2015 · Journal of Seismic Exploration
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    ABSTRACT: Waveform inversion (WI), which has been used primarily for high-resolution velocity analysis, can also be employed to obtain the source parameters of microseismic events. Here, we implement WI to estimate the location, origin time, and seismic moment tensor of microseismic sources embedded in VTI (transversely isotropic with a vertical symmetry axis) media. The algorithm operates with 2D multicomponent wavefields modeled using an elastic anisotropic finite-difference code. The gradient of the objective function for the three classes of parameters is calculated with the adjoint-state method. Although in the current algorithm the VTI parameters are assumed to be known, they can be included in WI at almost no additional cost. Synthetic tests for data from layered VTI media recorded by vertical receiver arrays show that it is possible to tightly constrain all source parameters, if a sufficiently accurate initial model is available. In particular, the source location can be estimated simultaneously with the moment tensor. The resolution of event location, however, somewhat decreases when the origin time is unknown or there is an error in one of the VTI parameters.
    No preview · Article · Sep 2015 · Journal of Seismic Exploration
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    ABSTRACT: The accurate estimation of shear wave velocity (Vs) by Rayleigh wave dispersion analyses is very important for geotechnical and earthquake engineering studies, but dispersion curve inversion is challenging for most inversion methods due to its high nonlinearity and mix-determined trait. In order to overcome these problems, the current study proposes a joint inversion scheme based on a particle swarm optimization (PSO) algorithm. Seismic data considered for designing the objects were the Rayleigh wave dispersion curve and seismic refraction traveltime. For joint inversion, the objective functions were combined into a single function. The proposed algorithm was tested on two synthetic datasets and also on an experimental dataset. Synthetic models demonstrated that the joint inversion of Rayleigh wave and traveltime returned a more accurate estimation of Vs compared with single inversion Rayleigh wave dispersion curves. To verify the applicability of the proposed method, it was applied at a sample site in Tabriz city. northwestern Iran. For a real dataset. the refraction microtremor (ReMi) was used as a passive method for obtaining Rayleigh wave dispersion curves. Using PSO joint inversion, a three-layer subsurface model was delineated: the first layer's velocity was 316 m/s and its thickness was 5.5 m. the second layer's velocity was 280 m/s and its thickness was 2.8 m, and the last layer's velocity was 512 m/s. The results of synthetic datasets and the field dataset showed that the proposed joint inversion technique significantly reduces the uncertainties of inverted models and improves the revelation of boundaries.
    No preview · Article · Sep 2015 · Journal of Seismic Exploration
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    ABSTRACT: In this paper, on the basis of the extended Hamiltonian system, we develop a symplectic partitioned Runge-Kutta method based on the nearly analytic discrete (NAD) operator with eighth-order accuracy for solving the 2D elastic wave equation, which is called the eighth-order NAD-SPRK method in brief. In the new method, we first employ the NAD operators with the eighth-order accuracy to discretize the high-order partial derivatives of space directions in the 2D elastic wave equation. Then the symplectic partitioned Runge-Kutta scheme with the second-order accuracy is applied to discretize the temporal high-order partial derivatives. We provide the theoretical study on the properties of the eighth-order NAD-SPRK method, such as theoretical error, stability criteria, numerical dispersion, and computational efficiency. We also compare the 2D elastic wave modeling results of this new method against those of some high-order methods. Numerical experiments show that the eighth-order NAD-SPRK method has the least numerical dispersion against the fourth-order NSPRK method, the eighth-order Lax-Wendroff correction (LWC) method, and the eighth-order staggered-grid (SG) method. Meanwhile, its computational costs and memory requirements are much less than those of the eighth-order LWC method. Against the eighth-order LWC method, comparison results indicate that the eighth-order NAD-SPRK method can provide the equivalent solutions with analytic solutions on much coarser grids. Last, we present the wave-field snapshots and wave seismograms in the homogeneous transversely isotropic medium and in the three-layer medium with a fluctuating interface for the 2D elastic wave, and the wave-field snapshots of the 2D elastic wave in the two-layer homogenous isotropic medium and in the two-layer heterogeneous medium. All these results of numerical simulations illustrate that the eighth-order NAD-SPRK method can effectively suppress the numerical dispersion caused by discretizing the wave equations when big grids are used or when models have large velocity contrasts between adjacent layers, further resulting in both saving the storage space and increasing the computational efficiency when too few sampling points per minimum wavelength are used.
    No preview · Article · Jul 2015 · Journal of Seismic Exploration
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    ABSTRACT: The elastodynamic Green's tensor in a vertically transversely isotropic (VTI) medium is presented explicitly as an inverse Hankel transform. The asymptotic solution is found by the stationary phase approximation. An approximate formula in weak VTI media is derived based on a novel way of expanding the vertical slowness linearly to anisotropic parameters in which case the stationary-phase points can be found analytically. The approximate solution will become exact when the medium degenerates into an elliptical VTI rather than an isotropic medium.
    No preview · Article · Jul 2015 · Journal of Seismic Exploration
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    ABSTRACT: In this study, we introduce the unsplit Perfectly Matched Layer (PML) for the 2D and 3D second-order elastic wave equations with isotropic and transversely isotropic vertical axis of symmetry (VTI) media in the time domain. The introduced PML formulations are successfully applied to practical applications in terms of efficiency and stability. The PML formulations require less than or an equal number of auxiliary variables than other formulations, thereby decreasing the computational power necessary to calculate the solution in the PML zone. Derived directly from the second-order wave form, the PML formulation demonstrates an improved stability compared to first-order PMLs or second-order PMLs that are derived from first-order systems. Numerical examples demonstrate that the bulk waves and strong surface waves are perfectly damped out without introducing instability for an isotropic material in both 2D and 3D. The derived formulation also provides effective absorption with strong VTI materials, including zinc and apatite, that cause instability problems in other PML formulations.
    No preview · Article · Jul 2015 · Journal of Seismic Exploration
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    ABSTRACT: A recent velocity model building is the full waveform inversions (FWI) that allow to recover the long-scale structures through the refraction waves and diving waves, and the short-scale structures which provide the high-resolution component through the reflection waves. However, incomplete seismic data include non-geological artifacts in the gradient for velocity update. The strong off-diagonal elements of approximate Hessians are important to reflection FWI with incomplete data; however, it is difficult to implement an approximate Hessian using the forward modeling method because of the cost of the computation efficiency. In this study, we investigate the ability of an approximate Hessian to remove artifacts that are caused by incomplete reflection data. In order to reduce the costs associated with calculating the Hessian, the large model is separated into sparse sub-models, and an alternative slim approximate Hessian is implemented sequentially on these sub-models. Afterwards, The complete model is obtained from sub-model using the radial point interpolation method (RPIM). A two-dimensional flat-layers synthetic example provides a reasonable test case for our method. We find that the slim approximate Hessian removes non-geophysical artifacts as effectively as the approximate Hessian, but has the advantages of greater cost-efficiency and lower memory requirements.
    No preview · Article · Jul 2015 · Journal of Seismic Exploration
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    ABSTRACT: To solve the problem of Gaussian noise sensitivity in the traditional seismic wavelet phase correction criteria, a wavelet phase correction method based on high-order cumulants (HOCs) zero slice was proposed, and its application conditions and scope were researched. The wavelet phase correction results were evaluated based on the criterion of calculating the HOCs zero slice of deconvolution results. Because of HOC'-s' insensitivity to Gaussian noise, the method could effectively achieve the wavelet phase correction under conditions with Gaussian noise pollution. A simulation showed the effectiveness of the method, but the criterion was limited by data length, and the criterion's anti-noise capabilities could be improved with increased data length. The processing of actual seismic data demonstrated the practicability of the method. This method provides a new method of wavelet phase correction, and the criterion based on HOCs zero slice can be used in deconvolution and seismic wavelet estimation.
    No preview · Article · May 2015 · Journal of Seismic Exploration
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    ABSTRACT: In this study, we investigate the Caddo sequence from the Boonsville gas field in the Fort Worth Basin of North Central Texas. Two Middle Pennsylvanian thin reservoirs are closely separated by a thin Caddo limestone unit. Seismic attributes, namely, instantaneous frequency and amplitude attributes did predict the distribution of reservoir facies in some productive wells. Also, the attribute maps implied that the Caddo facies would exist at well locations where the reservoir was not encountered and were absent where their presence was confirmed from well control. To remove this ambiguity, more advanced techniques of filtering, tracking and information extraction have been invoked and integrated. The data were firstly subject to dip-steered filtering and dense tracking processes. Next, the cleaned data set was spectrally decomposed using a Time Frequency Continuous Wavelet Transform. This decomposition successfully resolved both reservoirs. However, some non-reservoir areas were characterized by frequency responses similar to those shown in reservoir areas. Spectral examination of individual traces from producing and non-producing areas inferred that producing zones are characterized by frequency features different than those of the nonproducing zones. Next, poststack seismic inversion was performed to incorporate well data with seismic data and to produce an acoustic impedance cube. Interestingly, the acoustic impedance sections also suggested that the productive sandstones are characterized by different and higher impedance character relative to limestone formations and their surroundings. This study demonstrates that incorporating information from different sources (amplitude, frequency, spectral decomposition, well data, etc.) can assist significantly in overcoming challenging formations in the subsurface.
    No preview · Article · May 2015 · Journal of Seismic Exploration
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    ABSTRACT: When considering the problem of extending seismic wave propagation in an elastic medium to a poroviscoelastic medium, replacing real quantities by complex equivalents has been the accepted way to proceed. Given the number of works dealing with, what could be called the inadequacy of this method of approach, another line of reasoning might be in order. Starting with Biot's equations for a poroviscoelastic medium, employing a simplification route, results in the SH (modified) potential related to the vector equation of motion. Biot's theoretical development of wave propagation in a medium comprised of a fluid within a porous solid may be overly complicated for the pursuit of an alternate methodology for addressing this problem in its most basic form. As a consequence, the telegraph equation might be a more modest, yet informative analogue to consider, as it is a well studied problem from mathematical and physical perspectives. In what follows an SH potential wave equation is considered with attenuation introduced in a manner similar to that inherent in the telegraph equation. Additionally, the difficult situation discussed by Krebes and Daley will again be revisited, as it might be rationalized that a 1-2% modification of a real quantity such as velocity produces imperceptible effects in, say a reflection coefficient, while the same amount of perturbation introduced to make velocity a complex quantity results in significant dissimilarities between nearly similar initial input data. This is difficult to comprehend and seemingly at least as problematic to explain.
    No preview · Article · May 2015 · Journal of Seismic Exploration
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    ABSTRACT: Seismic data interpolation is one of the main challenges encountered during pre-processing. It can provide reliable data for processes that require regular and dense sampling, like migration and multiple elimination. At present, a transform method which is based on the sparseness of signals in a transformed domain, is a commonly used strategy to get promising results. Among different transforms, the curvelet transform has optimal sparse expression for wave-fronts, thus it can be seen as a good candidate for seismic interpolation. However, the high redundancy of the 3D curvelet transform makes it computationally expensive, especially for massive.data processing. Woiselle et al. (2011) proposed a new implementation of the curvelet transform, which reduces the redundancy to 10 for a 3D transform. In this paper, this new implementation is introduced to improve the computational efficiency of curvelet-based interpolation. The merits of the new implementation are discussed and the low redundancy is proven through numerical tests. Numerical results on 3D interpolation based on the new transform show that the CPU time it costs is about 1/4 of the original curvelet transform. Thus, the Woiselle's curvelet transform is a good balance between redundancy, rapidity and performance.
    No preview · Article · May 2015 · Journal of Seismic Exploration