Relevant bibliographies by topics / Seismic reflection method

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Seismic reflection method'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Seismic reflection method"

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Subarsyah, Subarsyah, and Yulinar Firdaus. "PERBAIKAN CITRA PENAMPANG SEISMIK MENGGUNAKAN METODE COMMON REFLECTION SURFACE : APLIKASI TERHADAP DATA SEISMIK PERAIRAN WAIGEO." JURNAL GEOLOGI KELAUTAN 13, no. 2 (February 16, 2016): 119. http://dx.doi.org/10.32693/jgk.13.2.2015.267.

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Kenampakan struktur geologi dan kontinuitas reflektor pada penampang seismik seringkali tidak teridentifikasi ketika data seismik di stack menggunakan metode stacking konvensional, terutama untuk data dengan jumlah fold coverage yang kecil. Data seismik Puslitbang Geologi Kelautan yang diperoleh pada Mei 2015, di Perairan Timur Pulau Waigeo, memiliki fold coverage yang relatif rendah sekitar 20. Untuk meningkatkan kualitas penampang seismik pada data ini perlu diterapkan metode Common Reflection Surface(CRS) sehingga interpretasi struktur geologi lebih mudah dan kontinuitas reflektor lebih baik. Metode ini diaplikasikan terhadap data seismik lintasan 6 dan 37. Penerapan metode CRS memberikan perbaikan pada citra penampang seismik terutama pada bagian basement akustik dan kontinuitas reflektor. Metode ini memberikan citra penampang seismik yang relatif lebih baik dibandingkan metode stacking konvensional karena metode CRS melibatkan trace seismik dari CDP di sekitarnya sesuai dengan besar parameter aperturnya. Kata kunci CRS Stack, CRS Attribut dan Paraxial Geological structure and reflector continuity on seismic section are often not clearly identified when the seismic data stacked use conventional stacking, especially seismic data with small fold coverage. Seismics data of Puslitbang Geologi Kelautan, that have been acquired on Mei 2015,in eastern part of Waigeo Island, have small number of fold coverage about 20. To enhance quality of seismic section on this data, it is necessary to apply Common Reflection Surface (CRS) method, in order to make geological structure interpretation easier dan better reflector continuity. This method applied to seismic data line 6 and 37. This application gives enhancement to seismic section especially at acoustic basement and reflector continuity. CRS method gives better seismic section than conventional stacking due to stacking process that involve seismic trace around the CDP along its aperture size. Keywords: CRS Stack, CRS Attribut and Paraxial
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Skopintseva, Lyubov, Milana Ayzenberg, Martin Landrø, Tatyana Nefedkina, and Arkady M. Aizenberg. "Long-offset AVO inversion of PP reflections from plane interfaces using effective reflection coefficients." GEOPHYSICS 76, no. 6 (November 2011): C65—C79. http://dx.doi.org/10.1190/geo2010-0079.1.

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A conventional amplitude variation with offset (AVO) inversion is based on geometrical seismics which exploit plane-wave reflection coefficients to describe the reflection phenomenon. Widely exploited linearizations of plane-wave coefficients are mostly valid at pre-critical offsets for media with almost flat and weak-contrast interfaces. Existing linearizations do not account for the seismic frequency range by ignoring the frequency content of the wavelet, which is a strong assumption. Plane-wave reflection coefficients do not fully describe the reflection of seismic waves at near-critical and post-critical offsets, because reflected seismic waves are typically generated by point sources. We propose an improved approach to AVO inversion, which is based on effective reflection coefficients (ERCs). ERCs generalize plane-wave coefficients for seismic waves generated by point sources and therefore more accurately describe near-critical and post-critical reflections where head waves are generated. Moreover, they are frequency-dependent and incorporate the local curvatures of the wavefront and the reflecting interface. In our study, we neglect the effect of interface curvature and demonstrate the advantages of our approach on synthetic data for a simple model with a plane interface separating two isotropic half-spaces. A comparison of the inversion results obtained with our approach and the results from an AVO inversion method based on the exact plane-wave reflection coefficient suggests that our method is superior, in particular for long-offset ranges which extend to and beyond the critical angle. We thus propose that long offsets can be successfully exploited in an AVO inversion under the correct assumption about the reflection coefficient. Such long-offset AVO inversion shows the potential of outperforming a conventional moderate-offset AVO inversion in the accuracy of estimated model parameters.
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Minato, Shohei, Toshifumi Matsuoka, Takeshi Tsuji, Deyan Draganov, Jürg Hunziker, and Kees Wapenaar. "Seismic interferometry using multidimensional deconvolution and crosscorrelation for crosswell seismic reflection data without borehole sources." GEOPHYSICS 76, no. 1 (January 2011): SA19—SA34. http://dx.doi.org/10.1190/1.3511357.

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Crosswell reflection method is a high-resolution seismic imaging method that uses recordings between boreholes. The need for downhole sources is a restrictive factor in its application, for example, to time-lapse surveys. An alternative is to use surface sources in combination with seismic interferometry. Seismic interferometry (SI) could retrieve the reflection response at one of the boreholes as if from a source inside the other borehole. We investigate the applicability of SI for the retrieval of the reflection response between two boreholes using numerically modeled field data. We compare two SI approaches — crosscorrelation (CC) and multidimensional deconvolution (MDD). SI by MDD is less sensitive to underillumination from the source distribution, but requires inversion of the recordings at one of the receiver arrays from all the available sources. We find that the inversion problem is ill-posed, and propose to stabilize it using singular-value decomposition. The results show that the reflections from deep boundaries are retrieved very well using both the CC and MDD methods. Furthermore, the MDD results exhibit more realistic amplitudes than those from the CC method for downgoing reflections from shallow boundaries. We find that the results retrieved from the application of both methods to field data agree well with crosswell seismic-reflection data using borehole sources and with the logged P-wave velocity.
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Guo, Feng, Changshuan Ji, Shenghua Lai, and Lei Zhang. "A method of establishing high-resolution isochronous stratigraphic framework in 3D seismic data volume." Stratigraphy 20, no. 2 (2023): 143–54. http://dx.doi.org/10.29041/strat.20.2.04.

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The establishment of a high-frequency sequence stratigraphic framework (short-term cycles) is the basis of seismic sedimentology research, which provides a new way to establish a high-resolution isochronous stratigraphic framework using 3D-seismic data. The linear interpolation between reference seismic reflections is used to establish a high-resolution isochronous stratigraphic framework (stratal slices). By carefully calibrating time-depth relationships, a corresponding relationship between short-term cycle (high-frequency cycle) interfaces and stratal slices is created. Five reference seismic reflections correspond to maximum flood surfaces. The results show that 311 isochronous stratal slices are formed in the 90 degree phase of the 3D seismic data set. Reference seismic reflection does not change with frequency. The event axis of reference for isochronous seismic reflection often corresponds to the most obvious isochronous interfaces. This method can establish a high-resolution isochronous stratigraphic framework in areas lacking drilling data in a 3D seismic data set. When geological dating data is available, the stratal slices can be further calibrated to absolute geological time, and a paleogeological map can be constructed from the seismic data set. This case study also illustrates the theoretical and practical significance of this method.
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JING, Xi-Li, Chang-Chun YANG, and Shi-Qing WANG. "An Improved Seismic Reflection Tomographic Method." Chinese Journal of Geophysics 50, no. 6 (November 2007): 1588–94. http://dx.doi.org/10.1002/cjg2.1179.

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Saatçilar, Ruhi, and Nezihi Canitez. "A method of ground‐roll elimination." GEOPHYSICS 53, no. 7 (July 1988): 894–902. http://dx.doi.org/10.1190/1.1442526.

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Amplitude‐ and frequency‐modulated wave motion constitute the ground‐roll noise in seismic reflection prospecting. Hence, it is possible to eliminate ground roll by applying one‐dimensional, linear frequency‐modulated matched filters. These filters effectively attenuate the ground‐roll energy without damaging the signal wavelet inside or outside the ground roll’s frequency interval. When the frequency bands of seismic reflections and ground roll overlap, the new filters eliminate the ground roll more effectively than conventional frequency and multichannel filters without affecting the vertical resolution of the seismic data.
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Murphy, Gary E., and Samuel H. Gray. "Manual seismic reflection tomography." GEOPHYSICS 64, no. 5 (September 1999): 1546–52. http://dx.doi.org/10.1190/1.1444658.

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Prestack depth migration needs a good velocity model to produce a good image; in fact, finding the velocity model is one of the goals of prestack depth migration. Migration velocity analysis uses information produced by the migration to update the current velocity model for use in the next migration iteration. Several techniques are currently used to estimate migration velocities, ranging from trial and error to automatic methods like reflection tomography. Here, we present a method that combines aspects of some of the more accurate methods into an interactive procedure for viewing the effects of residual normal moveout corrections on migrated common reflection point (CRP) gathers. The residual corrections are performed by computing traveltimes along raypaths through both the current velocity model and the velocity model plus suggested model perturbations. The differences between those sets of traveltimes are related to differences in depth, allowing the user to preview the approximate effects of a velocity change on the CRP gathers without remigrating the data. As with automatic tomography, the computed depth differences are essentially backprojected along raypaths through the model, yielding a velocity update that flattens the gathers. Unlike automatic tomography, in which an algebraic inverse problem is solved by the computer for all geologic layers simultaneously, our method estimates shallow velocities before proceeding deeper and requires substantial user intervention, both in flattening individual CRP gathers and in deciding the appropriateness of the suggested velocity updates in individual geologic units.
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Wu, Xinming, and Sergey Fomel. "Least-squares horizons with local slopes and multigrid correlations." GEOPHYSICS 83, no. 4 (July 1, 2018): IM29—IM40. http://dx.doi.org/10.1190/geo2017-0830.1.

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Most seismic horizon extraction methods are based on seismic local reflection slopes that locally follow seismic structural features. However, these methods often fail to correctly track horizons across discontinuities such as faults and noise because the local slopes can only correctly follow laterally continuous reflections. In addition, seismic amplitude or phase information is not used in these methods to compute horizons that follow a consistent phase (e.g., peaks or troughs). To solve these problems, we have developed a novel method to compute horizons that globally fit the local slopes and multigrid correlations of seismic traces. In this method, we first estimate local reflection slopes by using structure tensors and compute laterally multigrid slopes by using dynamic time warping (DTW) to correlate seismic traces within multiple laterally coarse grids. These coarse-grid slopes can correctly correlate reflections that may be significantly dislocated by faults or other discontinuous structures. Then, we compute a horizon by fitting, in the least-squares sense, the slopes of the horizon with the local reflection slopes and multigrid slopes or correlations computed by DTW. In this least-squares system, the local slopes on the fine grid and the multiple coarse-grid slopes will fit a consistent horizon in areas without lateral discontinuities. Across laterally discontinuous areas where the local slopes fail to correctly correlate reflections and mislead the horizon extraction, the coarse-grid slopes will help to find the corresponding reflections and correct the horizon extraction. In addition, the multigrid correlations or slopes computed by dynamic warping can also assist in computing phase-consistent horizons. We apply the proposed horizon extraction method to multiple 2D and 3D examples and obtain accurate horizons that follow consistent phases and correctly track reflections across faults.
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Lin, Peng, Suping Peng, Xiaoqin Cui, Wenfeng Du, and Chuangjian Li. "Effective diffraction separation using the improved optimal rank-reduction method." GEOPHYSICS 87, no. 3 (February 23, 2022): V169—V182. http://dx.doi.org/10.1190/geo2021-0326.1.

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Seismic diffractions encoding subsurface small-scale geologic structures have great potential for high-resolution imaging of subwavelength information. Diffraction separation from the dominant reflected wavefields still plays a vital role because of the weak energy characteristics of the diffractions. Traditional rank-reduction (RR) methods based on the low-rank assumption of reflection events have been commonly used for diffraction separation. However, these methods using truncated singular-value decomposition (TSVD) suffer from the problem of reflection-rank selection by singular-value spectrum analysis, especially for complicated seismic data. In addition, the separation problem for the tangent wavefields of reflections and diffractions is challenging. To alleviate these limitations, we have developed an effective diffraction separation strategy using an improved optimal RR (ORR) method to remove the dependence on the reflection rank and improve the quality of separation results. The improved RR method adaptively determines the optimal singular values from the input signals by directly solving an optimization problem that minimizes the Frobenius-norm difference between the estimated and exact reflections instead of the TSVD operation. This improved method can effectively overcome the problem of reflection-rank estimation in the global and local RR methods and adjusts to the diversity and complexity of seismic data. The adaptive data-driven algorithms indicate good performance in terms of the trade-off between high-quality diffraction separation and reflection suppression for the ORR operation. Applications of our strategy to synthetic and field examples demonstrate the superiority of diffraction separation in detecting and revealing subsurface small-scale geologic discontinuities and inhomogeneities.
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Zhang, Jin, Yanguo Wang, David C. Nobes, Guangnan Huang, and Hongxing Li. "Deep seismic reflection data interpretation using balanced filtering method." GEOPHYSICS 82, no. 5 (September 1, 2017): N43—N49. http://dx.doi.org/10.1190/geo2016-0061.1.

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Inverse [Formula: see text] filtering can perform energy compensation and phase correction of seismic reflection data, but it has an instability problem due to its high-pass characteristics. Although improved methods, such as gain-limited inverse [Formula: see text] filtering and stabilized inverse [Formula: see text] filtering, overcome the instability to some extent, they are not suitable for compensating deep seismic reflection events with weak energy. Focusing on the enhancement of deep seismic events, we have developed a balanced filtering method based on the ratio of the phase-compensated signal to its analytic signal counterpart. The method is insensitive to the depth of seismic records, and it can make shallow and deep seismic records visible simultaneously. When tested on synthetic data and real seismic data, compared with other methods, the balanced filtering method improves the amplitude strength of the deep reflection events and the continuity of shallow and deep seismic events effectively, which makes the deep reflection data easier to interpret.
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Dissertations / Theses on the topic "Seismic reflection method"

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Pappano, Phillip A. "Structure and regional tectonic setting across the Atlantic Coastal Plain of northeastern Virginia as interpreted from reflection seismic data." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-09122009-040224/.

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Rumpfhuber, Eva-Maria. "An integrated analysis of controlled-and passive source seismic data /." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Guy, Erich D. "Analysis and modeling of high-resolution multicomponent seismic reflection data." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1044983175.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xxxviii, 372 p.; also includes graphics (some col.). Includes abstract and vita. Advisor: Jeffrey J. Daniels, Dept. of Geological Sciences. Includes bibliographical references (p. 362-372).
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Nautiyal, Atul. "Aspects of spatial wavelets and their application to modelling seismic reflection data." Thesis, University of British Columbia, 1986. http://hdl.handle.net/2429/26504.

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The propagation of seismic waves may be described in the space-frequency domain by the Rayleigh-Sommerfeld convolution integral. The kernel of this integral is called a spatial wavelet and it embodies the physics and geometry of the propagation problem. The concepts of spatial convolution and spatial wavelet are simple and are similar to other topics studied by geophysicists. With a view to understanding these concepts, some aspects of spatial wavelets and their application to two-dimensional, zero-offset, acoustic seismic modelling were investigated. In studying the spatial wavelet, two topics in particular were examined: spatial aliasing and wavelet truncation. Spatial aliasing arises from the need to compute a discrete wavelet for implementation on a computer. This problem was solved by using an analytic expression for the spatial wavelet in the Fourier (wavenumber) domain. In the wavenumber domain the wavelet was windowed by a fourth order Butterworth operator, which removed aliasing. This technique is simple and flexible in its use. The second problem of wavelet truncation is due to the necessity of having a wavelet of finite length. A length limiting scheme based upon on the energy content of a wavelet was developed. It was argued that if that if a large portion of the wavelet energy was contained in a finite number of samples, then truncation at that sample would incur a minimal loss of information. Numerical experiments showed this to be true. The smallest length wavelet was found to depend on temporal frequency, medium velocity and extrapolation increment. The combined effects of these two solutions to the practical problem of computing a spatial wavelet resulted in two drawbacks. First, the wavelets provide modelling capabilities up to structural dips of 30 degrees. Second, there is a potential for instability due to recursive application of the wavelet. However, neither of these difficulties hampered the modelling of fairly complex structures. The spatial wavelet concept was applied to seismic modelling for media of varying complexity. Homogeneous velocity models were used to demonstrate diffraction evolution, dip limitations and imaging of curved structures. The quality of modelling was evaluated by migrating the modelled data to recover the time-image model of the reflection structure. Migrations of dipping and synform structures indicated that the modelled results were of a high calibre. Horizontally stratified velocity models were also examined for dipping and synform structures. Modelling these reflection structures showed that the introduction of a depth variable velocity profile has a tremendous influence on the synthetic seismic section. Again, migration proved that the quality of the data was excellent. Finally, the spatial wavelet algorithm was extended to the case of laterally varying velocity structures. The effects of space variant spatial convolution in the presence of a smoothed velocity field were examined. Smoothed velocity fields were computed by a simple weighted averaging procedure. The weighting function used was a decaying exponential whose decay rate determined the amount of smoothing. Seis-mograms computed for this case showed that the algorithm gave smoother and more continuous reflection signatures when the velocity field has been smoothed so that the largest lateral velocity gradient corresponded to the lower end of the temporal frequency band of the spatial wavelets. In this respect, the results are similar to those of geometric ray theory. Also, the travel times of these models compared favourably with those of ray tracings.
Science, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate
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Ecevitoglu, Berkan G. "Velocity and Q from reflection seismic data." Diss., Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/77793.

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This study has resulted in the discovery of an exact method for the theoretical formulation of the effects of intrinsic damping where the attenuation coefficient, a(v), is an arbitrary function of the frequency, v. Absorption-dispersion pairs are computed using numerical Hilbert transformation; approximate analytical expressions that require the selection of arbitrary constants and cutoff frequencies are no longer necessary. For constant Q, the dispersive body wave velocity, p(v), is found to be p(v) = (p(vN)/(1+(1/2Q H(-v)/v)) where H denotes numerical Hilbert transformation, p(v) is the phase velocity at the frequency v, and p(vN) is the phase velocity at Nyquist. From (1) it is possible to estimate Q in the time domain by measuring the amount of increase, ΔW, of the wavelet breadth after a traveltime, Q=(2Δ𝛕)/(𝝅ΔW) The inverse problem, i.e., the determination of Q and velocity is also investigated using singular value decomposition (SVD). The sparse matrices encountered in the acquisition of conventional reflection seismology data result in a system of linear equations of the form AX = B, with A the design matrix, X the solution vector, and B the data vector. The system of normal equations is AᵀAX = AᵀB where the least-squares estimate of X = X = V(1/S)UᵀB and the SVD of A is A = USVᵀ. A technique to improve the sparsity pattern prior to decomposition is described. From an application of equation (2) using reference reflections from shallower reflectors, crystalline rocks in South Carolina over the depth interval from about 5 km to 10 km yield values of Qin the range Q = 250 - 300. Non-standard recording geometries ( "Q-spreads") and vibroseis recording procedures are suggested to minimize matrix sparseness and increase the usable frequency bandwidth between zero and Nyquist. The direct detection of body wave dispersion by conventional vibroseis techniques may be useful to distinguish between those crustal volumes that are potentially seismogenic and those that are not. Such differences may be due to variations in fracture density and therefore water content in the crust.
Ph. D.
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Jiao, Junru. "Residual migration velocity analysis in the plane wave domain : theory and applications /." Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3023551.

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Guy, Erich D. "Analysis and modeling of high-resolution multicomponent seismic reflection data /." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486464627806981.

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Zhang, Yaohui. "Common conversion point stacking for P-SV converted waves /." Access abstract and link to full text, 1992. http://0-wwwlib.umi.com.library.utulsa.edu/dissertations/fullcit/9218599.

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Whiting, Peter Mark. "Reflection traveltime tomography and the maximum entropy principle." Thesis, The University of Sydney, 1993. https://hdl.handle.net/2123/26623.

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Conventional reflection tomography creates an estimate of subsurface seismic velocity structure by inverting a set of seismic traveltime data. This is achieved by solving a least-squares optimisation problem that finds the velocity and depth model that minimises the difference between raytraced and measured traveltimes. Obtaining the traveltime data can be difficult as manual picking of reflection times is required and all picked reflection events must be associated with the reflector depths defined in the model. Even with good traveltime data the optimisation problem is very non-linear and the surface restriction of the sources and receivers makes the problem generally underdetermined. These issues result in severe ambiguity and local minima problems. This thesis shows that modifications to the conventional reflection tomography algorithm can make it a more practical and reliable procedure that is less likely to be trapped by local minima. The ray tracing procedure is changed so that reflector depths are not necessary and automatic traveltime interpretation can be successful. Entropy constraints are introduced (after being justified) which prevent unwarranted velocity structure from appearing. This feature adds significant stability and reduces the ambiguity problems. Staged smoothing of the optimisation function helps avoid local minima. Synthetic data examples show that the algorithm can be very effective on noise free data. Adding noise to synthetic data reduces the algorithms effectiveness, but inversions of real data sets produces updated velocity fields that result in superior pre-stack depth migrations.
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Harsha, Senusi Mohamed. "Interpretation of Southern Georgia coastal plain velocity structure using refraction and wide-angle reflection methods." Thesis, Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/25886.

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Books on the topic "Seismic reflection method"

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Lavergne, M. Seismic methods. Paris: Editions Technip, 1989.

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Lavergne, M. Seismic methods. London: Graham & Trotman, 1989.

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Cox, Mike. Static corrections for seismic reflection surveys. Tulsa, Okla: Society of Exploration Geophysicists, 1999.

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Jan, Brouwer. Shallow high-resolution reflection seismics. Amsterdam: Elsevier, 1998.

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Heigold, Paul C. Seismic reflection and seismic refraction surveying in northeastern Illinois. Champaign, Ill. (615 E. Peabody Dr., Champaign 61820): Illinois State Geological Survey, 1990.

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Young, Roger A. A lab manual of seismic reflection processing. Houten: EAGE Publications, 2004.

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Brown, Alistair R. Interpretation of three-dimensional seismic data. Tulsa, Okla., U.S.A: American Association of Petroleum Geologists, 1986.

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Brown, Alistair R. Interpretation of three-dimensional seismic data. 2nd ed. Tulsa, Okla., U.S.A: American Association of Petroleum Geologists, 1988.

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Brown, Alistair R. Interpretation of three-dimensional seismic data. 3rd ed. Tulsa, Okla., U.S.A: American Association of Petroleum Geologists, 1991.

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E, Magner J., United States. Defense Nuclear Agency, United States. Dept. of Energy. Nevada Operations Office, and Geological Survey (U.S.), eds. A portable vacuum hammer seismic source for use in tunnel environments. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1993.

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Book chapters on the topic "Seismic reflection method"

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Miller, Richard D. "Reflection seismic methods." In Engineering Geophysics, 95–106. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003184676-9.

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Upadhyay, S. K. "Concepts and Methods in Seismic Migration." In Seismic Reflection Processing, 425–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09843-1_14.

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Yang, Fei-long, Liang Huo, Hui-li Zhang, Guang-ying Ren, and Feng-ming Yao. "An Adaptive Reflection Point Encryption Stack-Imaging Method Based on Fresnel Beam Weight Function for Crosswell Seismic." In Springer Series in Geomechanics and Geoengineering, 532–42. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0483-5_52.

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Crutchley, Gareth J., and Heidrun Kopp. "Reflection and Refraction Seismic Methods." In Submarine Geomorphology, 43–62. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57852-1_4.

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Okeke, P. O., and L. N. Ezem. "On Determining Weathered Layer Velocities and Depths to the Lignite Seams of the Anambra Basin, Nigeria by Uphole Seismic Reflection Method." In Groundwater and Mineral Resources of Nigeria, 125–39. Wiesbaden: Vieweg+Teubner Verlag, 1988. http://dx.doi.org/10.1007/978-3-322-87857-1_11.

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Sénéchal, Guy, and François Thouvenot. "Geometrical migration of line-drawings: A simplified method applied to ECORS data." In Continental Lithosphere: Deep Seismic Reflections, 401–7. Washington, D. C.: American Geophysical Union, 1991. http://dx.doi.org/10.1029/gd022p0401.

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Azevedo, Leonardo, and Amílcar Soares. "Introduction—Geostatistical Methods for Integrating Seismic Reflection Data into Subsurface Earth Models." In Geostatistical Methods for Reservoir Geophysics, 1–3. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53201-1_1.

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Tarantola, Albert. "Development of Nonlinear Inverse Methods for Interpretation of Seismic Reflection Data." In Optimization of the Production and Utilization of Hydrocarbons, 5–30. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2256-6_1.

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Üge, Mehmet Ali, and Ali İsmet Kanlı. "Comparison of Migration Methods on Seismic Reflection Data from the Marmara Sea and Its Interpretation Using Active Tectonics." In Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics and Earthquake Seismology, 313–16. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-43218-7_73.

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Naqi, Mohammad, and Aimen Amer. "Structures and Tectonics of Kuwait." In The Geology of Kuwait, 99–115. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16727-0_5.

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AbstractDespite the surface geology of Kuwait appears to be scarce and most of the country is covered with Quaternary deposits except for a few outcrops of Oligo-Miocene to Pleistocene age, the subsurface geology of Kuwait is quite unique and astonishing. The discovery of hydrocarbon in Kuwait at the beginning of the last century helped geologists to better understand the structural geology of Kuwait especially by utilizing geophysical methods such as potential field methods (e.g., gravity and magnetic) and seismic reflection. Being part of the Arabian Peninsula, the structural geology of Kuwait shares many of the Arabian Peninsula structural trends. The dominant N-S trending structures of the Arabian Plate are manifested in the Kuwait Arch which is one of the major structures of the country where many of the oil and gas oil fields are associated with. Other dominant structural trends of the Arabian Plate such as NE-SW and NW–SE are resembled in Kuwait as Jal Az-Zor and Dibdibah Trough, respectively. Paleo- and in-situ stress analysis is an important subject for oil and gas exploration, and many studies have been commissioned to better understand them in most of the Kuwaiti fields. The present-day in-situ stress in Kuwait is oriented NE-SW resembling the current tectonic setting of the region due to the collision of the Arabian Plate with the Eurasia Plate since the Oligocene. This chapter will present a thorough review of the previous studies discussing the surface and subsurface structural geology of Kuwait.
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Conference papers on the topic "Seismic reflection method"

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Asanuma, Hiroshi, Keita Tamakawa, and Hiroaki Niitsuma. "Principles of coherence reflection method and its applicability to seismic reflection survey." In Proceedings of the 10th SEGJ International Symposium. Society of Exploration Geophysicists of Japan, 2011. http://dx.doi.org/10.1190/segj102011-001.14.

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Alamooti, Moones, and Adnan Aydin. "A COMPARATIVE CASE STUDY OF REFLECTION SEISMIC IMAGING METHOD." In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-308144.

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Vangkilde-Pedersen, T., P. Skjellerup, J. Ringgaard, and J. F. Jensen. "Pulled Array Seismic (PAS) – A New Method for Shallow Reflection Seismic Data Acquisition." In 65th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2003. http://dx.doi.org/10.3997/2214-4609-pdb.6.p201.

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Ma, Xiong, Guofa Li, Shuang Wang, Wuyang Yang, and Wanli Wang. "A new method for Q estimation from reflection seismic data." In SEG Technical Program Expanded Abstracts 2017. Society of Exploration Geophysicists, 2017. http://dx.doi.org/10.1190/segam2017-17627790.1.

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Baykulov, Mikhail, and Dirk Gajewski. "Seismic data enhancement with common reflection surface (CRS) stack method." In SEG Technical Program Expanded Abstracts 2008. Society of Exploration Geophysicists, 2008. http://dx.doi.org/10.1190/1.3063882.

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F. Jensen, J., J. Ringgaard, P. Skjellerup, and T. Vangkilde-Pedersen. "Pulled array seismic (PAS) – A new method for shallow, high-resolution reflection seismic data acquisition." In 8th EEGS-ES Meeting. European Association of Geoscientists & Engineers, 2002. http://dx.doi.org/10.3997/2214-4609.201406194.

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F. Louis, I., and V. Karastathis. "Efficiency of shallow seismic reflection method in detection of shallow faults." In 58th EAEG Meeting. Netherlands: EAGE Publications BV, 1996. http://dx.doi.org/10.3997/2214-4609.201408797.

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Gorelik, G., L. Budanov, D. Ryabchuk, V. Zhamoida, and I. Neevin. "Application of Cdp Seismic Reflection Method in Buried Paleo-Valley Study." In Engineering and Mining Geophysics 2019 15th Conference and Exhibition. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201901777.

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Ashida, Yuzuru, and Toshifumi Matsuoka. "Inversion of reflection seismic data by use of least square method." In SEG Technical Program Expanded Abstracts 1998. Society of Exploration Geophysicists, 1998. http://dx.doi.org/10.1190/1.1820219.

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Sittipan, Pimpawee, and Pisanu Wongpornchai. "LONG-PERIOD SURFACE-RELATED MULTIPLE SUPPRESSION IN 2D MARINE SEISMIC DATA USING PREDICTIVE DECONVOLUTION AND COMBINATION OF SURFACE-RELATED MULTIPLE ELIMINATION AND PARABOLIC RADON FILTERING." In GEOLINKS Conference Proceedings. Saima Consult Ltd, 2021. http://dx.doi.org/10.32008/geolinks2021/b1/v3/30.

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Some of the important petroleum reservoirs accumulate beneath the seas and oceans. Marine seismic reflection method is the most efficient method and is widely used in the petroleum industry to map and interpret the potential of petroleum reservoirs. Multiple reflections are a particular problem in marine seismic reflection investigation, as they often obscure the target reflectors in seismic profiles. Multiple reflections can be categorized by considering the shallowest interface on which the bounces take place into two types: internal multiples and surface-related multiples. Besides, the multiples can be categorized on the interfaces where the bounces take place, a difference between long-period and short-period multiples can be considered. The long-period surface-related multiples on 2D marine seismic data of the East Coast of the United States-Southern Atlantic Margin were focused on this research. The seismic profile demonstrates the effectiveness of the results from predictive deconvolution and the combination of surface-related multiple eliminations (SRME) and parabolic Radon filtering. First, predictive deconvolution applied on conventional processing is the method of multiple suppression. The other, SRME is a model-based and data-driven surface-related multiple elimination method which does not need any assumptions. And the last, parabolic Radon filtering is a moveout-based method for residual multiple reflections based on velocity discrimination between primary and multiple reflections, thus velocity model and normal-moveout correction are required for this method. The predictive deconvolution is ineffective for long-period surface-related multiple removals. However, the combination of SRME and parabolic Radon filtering can attenuate almost long-period surface-related multiple reflections and provide a high-quality seismic images of marine seismic data.
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Reports on the topic "Seismic reflection method"

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Brocher, T. M., P. E. Hart, and S. F. Carle. Feasibility study of the seismic reflection method in Amargosa Desert, Nye County, Nevada. Office of Scientific and Technical Information (OSTI), November 1990. http://dx.doi.org/10.2172/137928.

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Todd, B. J., C. F. M. Lewis, and G. D. Hobson. Resurrection of 1967 single-channel seismic reflection data and isopach map of sediments in central and eastern Lake Erie, Ontario, Canada, and Ohio, Pennsylvania, and New York, U.S.A. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331498.

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In the Laurentian Great Lakes, the seismostratigraphy revealed by legacy seismic reflection profiles (i.e., analogue paper records) provides insight to the history of glaciation and deglaciation, sediment deposition and lake level history. Digital recovery and analysis of Great Lakes legacy seismic data is a cost-effective method to generate the offshore broad scale surfaces pertinent to the surficial framework geology layer required as input by three-dimensional stratigraphic studies. This Open File describes the digital recovery of 1566 km of recently discovered single channel seismic reflection data collected in central and eastern Lake Erie in the summer of 1967. A legacy isopach map of sediment thickness, based on the 1967 data, has also been resurrected.
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Patwa, B., P. L. St-Charles, G. Bellefleur, and B. Rousseau. Predictive models for first arrivals on seismic reflection data, Manitoba, New Brunswick, and Ontario. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329758.

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First arrivals are the primary waves picked and analyzed by seismologists to infer properties of the subsurface. Here we try to solve a problem in a small subsection of the seismic processing workflow: first break picking of seismic reflection data. We formulate this problem as an image segmentation task. Data is preprocessed, cleaned from outliers and extrapolated to make the training of deep learning models feasible. We use Fully Convolutional Networks (specifically UNets) to train initial models and explore their performance with losses, layer depths, and the number of classes. We propose to use residual connections to improve each UNet block and residual paths to solve the semantic gap between UNet encoder and decoder which improves the performance of the model. Adding spatial information as an extra channel helped increase the RMSE performance of the first break predictions. Other techniques like data augmentation, multitask loss, and normalization methods, were further explored to evaluate model improvement.
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Steeples, Donald. Geologic Structure Detection by High Resolution Seismic Reflection Methods Near the Custer Hill Landfill. Fort Belvoir, VA: Defense Technical Information Center, October 2000. http://dx.doi.org/10.21236/ada383211.

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Pullan, S. E., A. J. M. Pugin, M. J. Hinton, R. A. Burns, T. Cartwright, M. Douma, R L Good, and J. A. Hunter. Delineating buried valleys in southwest Manitoba using seismic reflection methods: cross-sections over the Medora-Waskada, Pierson and Killarney valleys (2006-07). Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2013. http://dx.doi.org/10.4095/292392.

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Determination of sediment thickness and volume in Lake Byron, South Dakota, using continuous seismic-reflection methods, May 1992. US Geological Survey, 1994. http://dx.doi.org/10.3133/wri934206.

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