Relevant bibliographies by topics / Seismic reflection method – Data processing

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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 – Data processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 January 2023

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Journal articles on the topic "Seismic reflection method – Data processing"

1

Soleimani, Mehrdad, and Iradj Piruz. "Common reflection surface stack, new method in seismic reflection data processing: A synthetic data example." ASEG Extended Abstracts 2007, no. 1 (December 1, 2007): 1–4. http://dx.doi.org/10.1071/aseg2007ab207.

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2

French, W. S. "Practical seismic imaging." Exploration Geophysics 20, no. 2 (1989): 11. http://dx.doi.org/10.1071/eg989011.

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Data examples clearly show that advances in seismic reflection methods over the past few years provide the interpreter with improved geologic information. The shift over the last ten years from 2-D to 3-D surveys and the shift over the past five years from processing based on surface geometry to processing based on subsurface geometry represent the principal advancements. Despite these advancements, the seismic reflection method is not mature.There exists no unified processing method to produce a 3-D geologic picture in depth directly from the data. Current processing techniques are a conglomeration of surface referenced methods (most noise suppression techniques), subsurface referenced methods (DMO, prestack migration) and in-between methods (velocity analysis). Interpreters, processors and field people must all keep abreast of the technology of our profession in order to improve our final product: greater success in both exploration and production.
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Steeples, Don W., and Richard D. Miller. "Avoiding pitfalls in shallow seismic reflection surveys." GEOPHYSICS 63, no. 4 (July 1998): 1213–24. http://dx.doi.org/10.1190/1.1444422.

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Acquiring shallow reflection data requires the use of high frequencies, preferably accompanied by broad bandwidths. Problems that sometimes arise with this type of seismic information include spatial aliasing of ground roll, erroneous interpretation of processed airwaves and air‐coupled waves as reflected seismic waves, misinterpretation of refractions as reflections on stacked common‐midpoint (CMP) sections, and emergence of processing artifacts. Processing and interpreting near‐surface reflection data correctly often requires more than a simple scaling‐down of the methods used in oil and gas exploration or crustal studies. For example, even under favorable conditions, separating shallow reflections from shallow refractions during processing may prove difficult, if not impossible. Artifacts emanating from inadequate velocity analysis and inaccurate static corrections during processing are at least as troublesome when they emerge on shallow reflection sections as they are on sections typical of petroleum exploration. Consequently, when using shallow seismic reflection, an interpreter must be exceptionally careful not to misinterpret as reflections those many coherent waves that may appear to be reflections but are not. Evaluating the validity of a processed, shallow seismic reflection section therefore requires that the interpreter have access to at least one field record and, ideally, to copies of one or more of the intermediate processing steps to corroborate the interpretation and to monitor for artifacts introduced by digital processing.
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Dell, Sergius, and Dirk Gajewski. "Common-reflection-surface-based workflow for diffraction imaging." GEOPHYSICS 76, no. 5 (September 2011): S187—S195. http://dx.doi.org/10.1190/geo2010-0229.1.

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Imaging of diffractions is a challenge in seismic processing. Standard seismic processing is tuned to enhance reflections. Separation of diffracted from reflected events is frequently used to achieve an optimized image of diffractions. We present a method to effectively separate and image diffracted events in the time domain. The method is based on the common-reflection-surface-based diffraction stacking and the application of a diffraction-filter. The diffraction-filter uses kinematic wavefield attributes determined by the common-reflection-surface approach. After the separation of seismic events, poststack time-migration velocity analysis is applied to obtain migration velocities. The velocity analysis uses a semblance based method of diffraction traveltimes. The procedure is incorporated into the conventional common-reflection-surface workflow. We apply the procedure to 2D synthetic data. The application of the method to simple and complex synthetic data shows promising results.
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Shiraishi, Kazuya, Gou Fujie, Takeshi Sato, Susumu Abe, Eiichi Asakawa, and Shuichi Kodaira. "Interferometric OBS imaging for wide-angle seismic data." GEOPHYSICS 82, no. 5 (September 1, 2017): Q39—Q51. http://dx.doi.org/10.1190/geo2016-0482.1.

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Marine wide-angle seismic data obtained using air guns and ocean-bottom seismographs (OBSs) are effective for determining large-scale subseafloor seismic velocities, but they are ineffective for imaging details of shallow seismic reflection structures because of poor illumination. Surface-related multiple reflections offer the potential to enlarge the OBS data illumination area. We have developed a new seismic imaging method for OBS surveys applying seismic interferometry, a technique that uses surface-related multiples similarly to mirror imaging. Seismic interferometry can use higher order multiple reflections than mirror imaging, which mainly uses first-order multiple reflections. A salient advantage of interferometric OBS imaging over mirror imaging is that it requires only single-component data, whereas mirror imaging requires vertical geophone and hydrophone components to separate upgoing and downgoing wavefields. We applied interferometric OBS imaging to actual 175 km long wide-angle OBS data acquired in the Nankai Trough subduction zone. We obtained clear continuous reflection images in the deep and shallow parts including the seafloor from the OBS data acquired with large spacing. Deconvolution interferometry is more suitable than correlation interferometry to improve spatial resolution because of the effects of spectral division when applied to common receiver gathers. We examined the imaging result dependence on data acquisition and processing parameters considering the data quality and target depth. An air-gun-to-OBS distance of up to 50 km and a record length of 80 s were necessary for better imaging. In addition, our decimation tests confirmed that denser OBS spacing yielded better quality and higher resolution images. Understanding crosstalk effects due to the acquisition setting will be useful to optimize methods for eliminating them. Interferometric OBS imaging merged with conventional primary reflection imaging is a powerful method for revealing crustal structures.
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Wang, Linfei, Zhong Wang, Huaishan Liu, Jin Zhang, Lei Xing, and Yanxin Yin. "Hydrate-Bearing Sediment Imaging of Ghost Reflection in Vertical Cable Seismic Data Using Seismic Interferometry." Geofluids 2022 (September 25, 2022): 1–7. http://dx.doi.org/10.1155/2022/3501755.

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Marine vertical cable seismic (VCS) collects seismic waves by hydrophone array vertically suspended in seawater to prospect the offshore geological structure and monitor the reservoir. Due to its irregular source-receiver geometry, the primary imaging has narrow illustration coverage. Here, we proposed a cross-correlation transformation based on ghost wave interferometry. This method can transform the ghost reflections from the vertical cable seismic profile into the virtual surface seismic primaries just like those excited by the source and recorded by marine seismic towed-streamer below sea surface. After processing these virtual primaries with conventional method, we can obtain the ghost reflection imaging section with high resolution which effectively extend the illustration footprints in the subsurface. By application of this transform, virtual primaries are generated from the first-order ghost reflections of the actual VCS data. Then, migration of these virtual primaries provides a high-resolution image of hydrate-bearing sediments.
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Wang, David Y., and Douglas W. McCowan. "Spherical divergence correction for seismic reflection data using slant stacks." GEOPHYSICS 54, no. 5 (May 1989): 563–69. http://dx.doi.org/10.1190/1.1442683.

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We have developed a method for the spherical divergence correction of seismic reflection data based on normal moveout and stacking of cylindrical slant stacks. The method is illustrated on some Gulf of Mexico data. The results show that our method yields essentially the same traveltime information as does conventional processing. Our amplitudes, however, are more interpretable in terms of reflectivity than are those obtained by using an empirical spherical divergence correction.
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Wu, Juan, and Min Bai. "Adaptive rank-reduction method for seismic data reconstruction." Journal of Geophysics and Engineering 15, no. 4 (May 16, 2018): 1688–703. http://dx.doi.org/10.1093/jge/aabc74.

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Abstract Seismic data reconstruction plays an important role in the whole seismic data processing and imaging workflow, especially for those data that are acquired from severe field environment and are missing a large portion of the reflection signals. The rank-reduction method is considered to be a very effective method for interpolating data that are of small curvature, e.g. the post-stack data. However, when the data are more complicated, the rank-reduction method may fail to achieve acceptable performance. A useful strategy is to use local windows to process the data so that the data in each local window satisfy the plane-wave assumption of the rank-reduction method. However, the rank in each window requires a careful selection. Traditional methods select a global rank for all windows. We have proposed an automatic algorithm to select the rank in each processing window. The energy ratio between two consecutive singular values is chosen as the criterion to define the optimal rank. We apply this strategy to seismic data interpolation and use both synthetic and field data examples to demonstrate its potential in practical applications.
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Mark, Norman. "Case history: Seismic exploration in Egypt’s Eastern Desert." GEOPHYSICS 57, no. 2 (February 1992): 296–305. http://dx.doi.org/10.1190/1.1443243.

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Although oil exploration has been performed in the Eastern Desert of Egypt for over a century, seismic reflection techniques have only been in use for less than a fourth of that time. In an effort to improve seismic imaging of geologic targets, many styles of acquisition and processing have been tested, accepted, or discarded. Over the last twenty‐four years, seismic data acquisition has evolved from low‐channel analog to high‐channel digital recordings. The most difficult exploration problems encountered in these efforts have been the low‐frequency and high‐energy ground roll and depth of penetration when imaging the oil producing Pre‐Miocene sandy reservoirs below the highly reflective salt and evaporites. Efforts have been focused on developing seismic processing procedures to enhance the seismic data quality of recently acquired seismic data and developing new acquisition methods to improve seismic data through acquisition and processing. In older acquisition, the new processing has improved the seismic quality (vertical and lateral resolution), but it still retains a low‐frequency character. In the newly acquired seismic data, however, there is improved reflection continuity, depth of penetration, and resolution. We attribute this result to the change from low‐fold (6–24 fold), long receiver and source patterns (50 to 222 m) to high fold (96 fold) short receiver and source group (25 m), and spectral balancing in the processing. The most recent acquisition and processing have greatly improved the quality of the shallow seismic reflections and the deeper reflections that have helped unravel the structural and stratigraphic style of the deeper portions of the basin.
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Miller, Kate C., Steven H. Harder, Donald C. Adams, and Terry O’Donnell. "Integrating high‐resolution refraction data into near‐surface seismic reflection data processing and interpretation." GEOPHYSICS 63, no. 4 (July 1998): 1339–47. http://dx.doi.org/10.1190/1.1444435.

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Shallow seismic reflection surveys commonly suffer from poor data quality in the upper 100 to 150 ms of the stacked seismic record because of shot‐associated noise, surface waves, and direct arrivals that obscure the reflected energy. Nevertheless, insight into lateral changes in shallow structure and stratigraphy can still be obtained from these data by using first‐arrival picks in a refraction analysis to derive a near‐surface velocity model. We have used turning‐ray tomography to model near‐surface velocities from seismic reflection profiles recorded in the Hueco Bolson of West Texas and southern New Mexico. The results of this analysis are interval‐velocity models for the upper 150 to 300 m of the seismic profiles which delineate geologic features that were not interpretable from the stacked records alone. In addition, the interval‐velocity models lead to improved time‐to‐depth conversion; when converted to stacking velocities, they may provide a better estimate of stacking velocities at early traveltimes than other methods.
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Dissertations / Theses on the topic "Seismic reflection method – Data processing"

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Ogilvie, Jeffrey Scott. "Modeling of seismic coda, with application to attenuation and scattering in southeastern Tennessee." Thesis, Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/25871.

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Weisenburger, Kenneth William. "Reflection seismic data acquisition and processing for enhanced interpretation of high resolution objectives." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/74518.

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Reflection seismic data were acquired (by CONOCO, Inc.) which targeted known channel interruption of an upper Pennsylvanian coal seam (Herrin #6) in the Illinois basin. The data were reprocessed and interpreted by the Regional Geophysics Laboratory, Virginia Tech. Conventional geophysical techniques involving field acquisition and data processing were modified to enhance and maintain high frequency content in the signal bandwidth. Single sweep processing was employed to increase spatial sampling density and reduce low pass filtering associated with the array response. Whitening of the signal bandwidth was accomplished using Vibroseis whitening (VSW) and stretched automatic gain control (SAGC). A zero-phase wavelet-shaping filter was used to optimize the waveform length allowing a thinner depositional sequence to be resolved. The high resolution data acquisition and processing led to an interpreted section which shows cyclic deposition in a deltaic environment. Complex channel development interrupted underlying sediments including the Herrin coal seam complex. Contrary to previous interpretations of channel development in the study area by Chapman and others (1981), and Nelson (1983), the channel has been interpreted as having bimodal structure leaving an"island" of undisturbed deposits. Channel activity affects the younger Pennsylvanian sediments and also the unconsolidated Pleistocene till. A limit to the eastern migration of channel development affecting the the Pennsylvanian sediments considered in this study can be identified by the abrupt change in event characteristics.
Master of Science
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Luo, Simon S. "Improved methods of reflection seismic data processing for velocity estimation, imaging, and interpretation." Thesis, Colorado School of Mines, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3668324.

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Seismic images and the geologic information they provide contribute significantly to our understanding of the earth's subsurface. In this thesis, I focus on methods relevant for constructing and interpreting seismic images, including methods for velocity estimation, seismic imaging, and interpretation, which together address key aspects of reflection seismic data processing. Specifically, I propose improved methods for semblance-based normal-moveout velocity analysis, for seismic imaging by least-squares migration, and for the automatic extraction of geologic horizons.

To compute a seismic image, an estimate of the subsurface velocity is needed. One common method for constructing an initial velocity model is semblance-based normal-moveout (NMO) velocity analysis, in which semblance spectra are analyzed to identify peaks in semblance corresponding to effective NMO velocities. The accuracy of NMO velocities obtained from semblance spectra depends on the sensitivity of semblance to changes in velocity. By introducing a weighting function in the semblance calculation, I emphasize terms that are more sensitive to velocity changes, which, as a result, increases the resolution of semblance spectra and allows for more accurate NMO velocity estimates.

Following velocity analysis, a seismic image of the subsurface is computed by migrating the recorded data. However, while velocity analysis is an important step in processing reflection seismic data, in practice we expect errors in the velocity models we compute, and these errors can degrade a seismic image. Instead of minimizing the difference between predicted and observed seismic data as is done for conventional migration, I propose to minimize the difference between predicted and time-shifted observed data, where the time shifts are the traveltime differences between predicted and observed data. With this misfit function, an image computed for an erroneous velocity model contains features similar to those obtained using a more accurate velocity.

Once a seismic image is computed, a common task in interpreting the image is the identification of geologic horizons. As an alternative to manual picking or autotracking, I propose methods to automatically and simultaneously extract all horizons within an image. To extract geologic horizons, a seismic image is unfaulted and unfolded to restore horizons to an undeformed, horizontal state from which they can be easily identified and extracted.

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Huang, Zhen. "Application of Bayesian approach on ground motion attenuation relationship for Wenchuan Earthquake." Thesis, University of Macau, 2017. http://umaclib3.umac.mo/record=b3691515.

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Bryan, Robert A. "Thin-bed resolution from cepstrum analysis." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/74514.

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A method of cepstrum analysis is developed for the purpose of resolving thin-beds. The method relies on the detection of periodic pulses of the cepstra of reflectivity functions, which are isolated by computing a sub-cepstrum and a sum-cepstrum, and highlighted with a discriminator, where the sub-cepstrum of the functions f₁(t) and f₂(t) is the difference between the cepstra of the two functions, the sum-cepstrum of f₁(t) is the sum of the sub-cepstra of f₁(t) and fk(t), k=2,3,4,... , and the discriminator is the product of the sum-cepstrum and the autocovariance of the sum-cepstrum. The technique requires at least two reflected wavelets generated by the same source. The method was applied to synthetic thin lens models. The method is shown to be sensitive to the ratio of the reflection coefficients at the top and bottom of the thin-bed. Specifically, the resolution depends on the ratio of the reflection coefficients. Optimum resolution is achieved when the reflection coefficients at the top and bottom of the thin-bed are equal in absolute magnitude. In addition, in the noise-free case, the absolute magnitude of the cepstral pulses can be used to determine the absolute magnitude of the ratio of the reflection coefficients. The technique is also sensitive to the sample interval used. The finest sample interval provides the best resolution because it produces the sharpest cepstral pulses and resolves the thinnest beds. The resolution of the method is drastically reduced by random noise, although thin-bed thicknesses are still detectable when the S/N of the synthetic seismic section is 15/1 and the upper frequency of the bandwidth of the noise is 1.1 octaves above the upper frequency of the bandwidth of the source wavelet.
Master of Science
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Gresko, Mark J. "Analysis and interpretation of compressional (P-wave) and shear (SH-wave) reflection seismic and geologic data over the Bane Dome, Giles County, Virginia." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/53879.

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Approximately 37 km of predominantly 24-fold P-wave Vibroseis data and 16 km of 24-fold SH-wave Vibroseis data were acquired in the southern portion of the folded Appalachians near the Bane Dome in Giles County, Virginia. Data processing techniques included the application of newly developed methods for crossdip removal as well as the determination of statics solutions in the case of time variant shifts within the data traces. Minimum-phase filter deconvolution was also applied for the removal of reverberating energy and multiples recorded on the SH—wave lines. Vp/Vs ratios were used to aid in the determination of lithologies in the absence of bore-hole data. Interpreted thickening of the Lower Cambrian to Upper Precambrian sequence beneath the Bane Dome appears to represent Eocambrian rifting. Faults generated at that time may now be reactivated by the present stress regime, causing earthquake activity in this area. Interpretation of the seismic data supports a duplex structure proposed for the Paleozoic rocks of the Bane Dome Complex within the Narrows thrust sheet of southwestern Virginia.
Ph. D.
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Costa, Filho Carlos Alberto da 1988. "Applications of independent component analysis to the attenuation of multiple reflections in seismic data = Aplicações da análise de componentes independentes à atenuação de reflexões múltiplas em dados sísmicos." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306138.

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Orientador: Martin Tygel
Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Cientifica
Made available in DSpace on 2018-08-22T06:13:33Z (GMT). No. of bitstreams: 1 CostaFilho_CarlosAlbertoda_M.pdf: 3131395 bytes, checksum: f8687abfc7e346fdd8e6dc40746526e8 (MD5) Previous issue date: 2013
Resumo: As reflexões de ondas sísmicas na subsuperfície terrestre podem ser colocadas em duas categorias disjuntas: reflexões primárias e múltiplas. Reflexões primárias carregam informações pontuais sobre um refletor específico, enquanto reflexões múltiplas carregam informações sobre interfaces e pontos de reflexão variados. Consequentemente é usual tentar atenuar reflexões múltiplas e trabalhar somente com reflexões primárias. Neste trabalho, a teoria de ondas acústicas é desenvolvida somente a partir da equação da onda. Um resultado que demonstra como a propagação de ondas acústicas pode ser descrita somente com uma única multiplicação por matriz é exposta. Este resultado permite que um algoritmo seja desenvolvido que, em teoria, pode ser usado para remover todas as reflexões múltiplas que refletiram na superfície pelo menos uma vez. Uma implementação prática deste algoritmo é mostrada. Por conseguinte, a teoria de análise de componentes independentes é apresentada. Suas considerações teóricas e práticas são abordadas. Finalmente, ela é usada em conjunção com o método de eliminação de múltiplas de superfície para atenuar múltiplas de quatro dados diferentes. Estes resultados são então analisados e a eficácia do método é avaliada
Abstract: The reflections of seismic waves in the subsurface of the Earth can be placed under two disjoint categories: primary and multiple reflections. Primary reflections carry pointwise information about a specific reflector while multiple reflections carry informations about various interfaces and reflection points. Consequently, it is customary to attempt to attenuate multiple reflections and work solely with primary reflections. In this work, the theory of acoustic waves is developed solely from the wave equation. A result that shows how acoustic wave propagation can be described as a single matrix multiplication is exposed. This result enables one to develop an algorithm that, in theory, can be used to remove all multiple reflections that have reflected on the surface at least once. The practical implementation of this algorithm is shown. Thereafter, the theory of independent component analysis is presented. Its theoretical and practical considerations are addressed. Finally, it is used in conjunction with the surface-related multiple elimination method to attenuate multiples in four different datasets. These results are then analyzed and the efficacy of the method is evaluated
Mestrado
Matematica Aplicada
Mestre em Matemática Aplicada
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Zanetti, Ricardo Antonio 1978. "Separação de eventos sísmicos por métodos de decomposição de sinais." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259285.

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Orientadores: João Marcos Travassos Romano, Leonardo Tomazeli Duarte
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
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Resumo: : O Resumo poderá ser visualizado no texto completo da tese digital
Abstract: : The complete Abstract is available with the full electronic
Mestrado
Telecomunicações e Telemática
Mestre em Engenharia Elétrica
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Moueddene, Kada. "Analyse d'images en sismique : pretraitement et extraction d'informations par la morphologie mathematique." Toulouse 3, 1987. http://www.theses.fr/1987TOU30006.

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Techniques de traitement d'images appliquees aux diagraphies sismiques. En particulier, utilisation des operateurs de morphologie mathematique pour les problemes de pretraitement et d'extraction d'informations. Deux exemples d'application sont presentes: tir de bruits pour l'extraction des spectres de vitesses et tir au centre pour le filtrage des ondes de surface et des arrivees refractees
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Gigandet, Katherine M. "Processing and Interpretation of Illinois Basin Seismic Reflection Data." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1401309913.

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Books on the topic "Seismic reflection method – Data processing"

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R, Marschall, ed. Aspects of seismic reflection data processing. Dordrecht: Kluwer Academic Publishers, 1990.

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Waveform inversion of seismic reflection data through local optimisation methods. Uppsala: [University of Uppsala], 1992.

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Di zhen kan tan ji shu zai Daqing Chaoyanggou you tian kai fa zhong de ying yong. Beijing: Shi you gong ye chu ban she, 2009.

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Domoracki, William J. Processing and interpretation of seismic reflection data near the Bane Dome in Bland County, Virginia. Washington, D.C: U.S. Nuclear Regulatory Commission, 1989.

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Domoracki, W. J. Processing and interpretation of seismic reflection data near the Bane Dome in Bland County, Virginia. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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Baker, Gregory S. Processing near-surface seismic-reflection data: A primer / Gregory S. Baker. Tulsa, OK: Society of Exploration Geophysicists, 1999.

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Glangeaud, F. Wave separation. Paris: Editions Technip, 1994.

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Lee, Myung W. True--amplitude processing techniques for marine, crustal-reflection seismic data. [Washington, D.C.]: U.S. G.P.O., 1990.

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Lee, Myung W. True--amplitude processing techniques for marine, crustal-reflection seismic data. Washington, DC: Dept. of the Interior, 1990.

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1948-, Hatton Les, ed. The marine seismic source. Dordrecht: D. Reidel, 1986.

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Book chapters on the topic "Seismic reflection method – Data processing"

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Upadhyay, S. K. "Reflection Data Acquisition." In Seismic Reflection Processing, 15–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09843-1_2.

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Alsadi, Hamid N. "Processing of Seismic Reflection Data." In Seismic Hydrocarbon Exploration, 245–90. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40436-3_10.

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Frei, W., L. Levato, and P. Valasek. "Processing of seismic reflection data." In Deep Structure of the Swiss Alps, 15–21. Basel: Birkhäuser Basel, 1995. http://dx.doi.org/10.1007/978-3-0348-9098-4_3.

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Kindelan, M., P. Sguazzero, and A. Kamel. "Parallelism in Seismic Computing." In Aspects of Seismic Reflection Data Processing, 377–88. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2087-3_8.

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Mousa, Wail A., and Abdullatif A. Al-Shuhail. "Seismic Migration." In Processing of Seismic Reflection Data Using MATLAB™, 61–70. Cham: Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-02534-1_8.

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Mousa, Wail A., and Abdullatif A. Al-Shuhail. "Seismic Deconvolution." In Processing of Seismic Reflection Data Using MATLAB™, 29–39. Cham: Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-02534-1_5.

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Mousa, Wail A., and Abdullatif A. Al-Shuhail. "Seismic Data Processing: A Quick Overview." In Processing of Seismic Reflection Data Using MATLAB™, 1–5. Cham: Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-02534-1_1.

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Mousa, Wail A., and Abdullatif A. Al-Shuhail. "Seismic Noise Attenuation." In Processing of Seismic Reflection Data Using MATLAB™, 23–28. Cham: Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-02534-1_4.

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Fertig, J., and P. Krajewski. "Acquisition and Processing of Pure and Converted Shear Waves Generated by Compressional Wave Sources." In Aspects of Seismic Reflection Data Processing, 103–32. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2087-3_1.

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Ferber, R. G. "Data Acquisition and Pre-Processing Required for Simultaneous P-SV Inversion." In Aspects of Seismic Reflection Data Processing, 133–54. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2087-3_2.

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Conference papers on the topic "Seismic reflection method – Data processing"

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Choi, Jeongryul, Youngjin Kim, and Doohwan Choi. "SEISMIC DATA PROCESSING BASED ON COMMON-REFLECTION-SURFACE METHOD: A CASE STUDY USING OPEN SEISMIC DATABASE." In GSA Annual Meeting in Denver, Colorado, USA - 2016. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016am-282569.

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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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Bakulin, Andrey, Ilya Silvestrov, and Dmitry Neklyudov. "Healing Seismic Data with Phase Corrections for Processing of Single-Sensor Data in the Desert Environment." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204701-ms.

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Abstract Acquiring data with single sensors or small arrays in a desert environment may lead to challenging data quality for subsequent processing. We present a new approach to effectively "heal" such data and allow efficient processing and imaging without requiring any additional acquisition. A novel method combines the power of seismic beamforming and time-frequency masking originating from speech processing. First, we create an enhanced version of the data with beamforming or local stacking. Beamforming effectively suppresses scattered noise and finds weak reflection signals, albeit sacrificing some higher frequencies. Next, we employ a seismic time-frequency masking procedure to fix the original data while using beamformed data as a guide. Time-frequency masking effectively fixes corrupt and broken phase of the original data. After such data-driven healing, prestack data can be effectively processed and imaged, while maintaining the higher frequencies lost during beamforming.
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Bashardoust, M., S. Torabi, and M. Nabi-Bidhendi. "A Comparison of Different Methods of Velocity Analysis in Reflection Seismic Data Processing with AVO Anomalies." In KazGeo 2012. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20142965.

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Bashardoust, M., S. Torabi, and M. Nabi-Bidhendi. "A Comparison of Different Methods of Velocity Analysis in Reflection Seismic Data Processing with AVO Anomalies." In 74th EAGE Conference and Exhibition incorporating EUROPEC 2012. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20148883.

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Kuzmenko, Pavlo, Viktor Buhrii, Carlo D'Aguanno, Viktor Maliar, Hrigorii Kashuba, Valentyn Loktiev, Nataliia Rusachenko, Annalisa Epifani, Marco Mantovani, and Luciana De Luca. "Some Aspects of Seismic Data Reverse Time Migration for Salt Tectonics Geology of the Dnieper-Donets Basin." In SPE Eastern Europe Subsurface Conference. SPE, 2021. http://dx.doi.org/10.2118/208531-ms.

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Abstract Processing of the seismic data acquired in areas of complex geology of the Dnieper-Donets basin, characterized by the salt tectonics, requires special attention to the salt dome interpretation. For this purpose, Kirchhoff Depth Imaging and Reverse Time Migration (RTM) were applied and compared. This is the first such experience in the Dnieper-Donets basin. According to international experience, RTM is the most accurate seismic imaging method for steep and vertical geological (acoustic contrast) boundaries. Application of the RTM on 3D WAZ land data is a great challenge in Dnieper-Donets Basin because of the poor quality of the data with a low signal-to-noise ratio and irregular spatial sampling due to seismic acquisition gaps and missing traces. The RTM algorithm requires data, organized to native positions of seismic shots. For KPSDM we used regularized data after 5D interpolation. This affects the result for near salt reflection. The analysis of KPSDM and RTM results for the two areas revealed the same features. RTM seismic data looked more smoothed, but for steeply dipping reflections, lateral continuity of reflections was much improved. The upper part (1000 m) of the RTM has shadow zones caused by low fold. Other differences between Kirchhoff data and RTM are in the spectral content, as the former is characterized by the full range of seismic frequency spectrum. Conversely, beneath the salt, the RTM has reflections with steep dips which are not observed on the KPSDM. It is possible to identify new prospects using the RTM seismic image. Reverse Time Migration of 3D seismic data has shown geologically consistent results and has the potential to identify undiscovered hydrocarbon traps and to improve salt flank delineation in the complex geology of the Dnieper-Donets Basin's salt domes.
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Bashardoust, Mahdi, Majid Nabi-Bidhendi, and Ali Mehrabani. "Introducing new criteria for comparison of different methods of velocity analysis in reflection seismic data processing with AVO anomalies." In Istanbul 2012 - International Geophysical Conference and Oil & Gas Exhibition. Society of Exploration Geophysicists and The Chamber of Geophysical Engineers of Turkey, 2012. http://dx.doi.org/10.1190/ist092012-001.121.

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Kumar, Ashutosh. "Quantum Computation for End-to-End Seismic Data Processing with Its Computational Advantages and Economic Sustainability." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211843-ms.

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Abstract Mathematical and computational challenges involved in seismic data processing presents an opportunity for early adoption of quantum computation methods for end-to-end seismic data processing. Existing methods of seismic data processing involve processes with exponential complexities that result in approximations as well as conversion of some of the continuous phenomena into a stochastic one. In the classical computation methods, the mentioned approximations and assumptions enable us to obtain acceptable results in commercially viable time. This paper proposes alternatives of the classical computations that exist in the quantum computation ecosystem along with the computational advantages it holds. The paper also presents potential contributions of the petroleum industry towards sustaining the quantum computation technologies. Fundamentally seismic data processing involves solutions for systems of linear equations and its derivatives. Quantum computation ecosystem holds efficient solutions for systems of linear equations. In the frequency domain, Finite-Difference modelling reduces seismic-wave equations to systems of linear equations. In the classical computational setup the seismic acquisition involves treatment of the recorded waves as rays and has limited summation provision for recreating the natural reflection or refraction phenomena that is continuous instead of being a stochastic process. The algorithms in the quantum ecosystem allow us to consider summation of signals from all possible paths between the source and the receiver, by amplitude-probability. In addition to the systems of linear equations and their solution with corresponding methods in the quantum ecosystem the fourier transformation and partial differential equations enable us to decompose the waves and apply the physics equation to obtain the desired objective. Quantum-algorithms facilitate exponential speed-up in seismic data processing. The PDE-constrained optimization inverts subsurface P-wave velocity. While going through the seismic data processing steps it is found that the fourier transformation algorithms are derived as a decomposition of the diagonal matrix. The key difference between the fast fourier transform and the quantum fourier transform is that the quantum fourier transformation is used as the building block of several quantum algorithms. Seismic inversion involves laws of physics and calculation that are guided by the ordinary differential equations. In the quantum computation ecosystem these algorithms for linear ordinary differential equations for linear partial differential equations have the complexity of (1/e), where ‘e’ is the tolerance. The insights brought by successful implementation of end-to-end seismic data processing with algorithms in the quantum computation domain enables us to drill most optimally located wells and hence facilitate cost saving. Even with a reduction of 10% in the total number of wells that we drill, we can possibly fund development of one quantum computer hence ensuring economic sustainability of the technology. The novelty of the presented paper lies in the comparative analysis of the classical methods with its counterparts in the quantum ecosystem. It explains the technological and economical aspects of the technology such that extensive knowledge of quantum technology is not compulsory for grasping its contents.
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Almheiri, Afra Naser, Subhrankar Paul, Shady Hassan, Carlos Barajas, Behdad Safaei, Mohamed Mahgoub, and Guillaume Marie Cambois. "An Unprecedented Uplift in Seismic Imaging from an Ultra-Shallow Water Field, Offshore Abu Dhabi." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211669-ms.

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Abstract Offshore Abu Dhabi is characterized by ultra-shallow waters and thinly layered carbonate formations with high velocity and anisotropy contrasts. This produces complex recorded seismic wave-fields, riddled with noise and multiple energy, which are notoriously difficult to process. In a recent reprocessing project over a producing field offshore Abu Dhabi, we applied innovative processing techniques and obtained an unprecedented uplift in the final seismic image. 3D seismic data was acquired over the study area deploying airgun sources and 4-component receivers with ocean bottom cable (OBC) in an orthogonal cross-spread design. In vintage processing PZ summation was used to obtain the upgoing wavefield with the receiver ghost removed. 1D deconvolution was then applied to attenuate receiver-side pegleg multiples. Strong residual multiple energy nonetheless remained in the overburden and caused challenges in interpretation of the data. For the reprocessing, we applied a method known as up-down deconvolution, which is commonly used in deep water with a smooth water bottom. The implementation of up-down deconvolution in this ultrashallow water environment was challenging due to poor trace sampling and insufficient direct arrival energy in the shallow part of the recorded wavefield in the receiver domain. The mostly flat seafloor and horizontally stratified geology allowed us to implement the method in ultra-shallow water in the crossspread domain, with enhanced trace density. Further, we implemented a three-step method to model velocity and anisotropy parameters. We first used long offset seismic data to estimate effective velocity and anisotropy using a bi-spectral analysis method to pick non-hyperbolic moveout of the reflection data. Secondly, we independently measured Thomsen anisotropic parameters at seismic scale using available well logs and walk-away VSP data. These two independent methods provided an opportunity to build a simple layered anisotropy model. In the third step, we used reflection tomography to derive the final velocity and anisotropy models. The final model shows a wide variation of anisotropy within different geological layers of the survey area, where delta varies between -5% to 10% and epsilon varies between 0% to 40%. The shallow section exhibits high epsilon (30 to 40%) and negative delta values. The new seismic images provide a reliable interpretation of overburden structures. The Vertical Transverse isotropy (VTI) model shows consistency with sonic logs. The seismic images display high correlation with well synthetics at reservoir level. The reliability of the anisotropy model is confirmed by comparing a seismic structural depth map with well tops. The incorporation of anisotropy in incidence angle computation allows accurate angle stacks to be produced, which improves the reliability of subsequent AVO analysis. The workflow showcases the first successful implementation of up-down deconvolution in ultra-shallow waters to remove multiples, and reliable estimation of VTI parameters combining seismic and well data offshore Abu Dhabi.
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Liu, Jiangtao, Ming Yu, Yan Yu, Qunli Qi, Yu Ji, Min Zhao, Yingpeng Chen, et al. "Full Azimuth Multi-Rays Pre-Stack Depth Migration in the B Block." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211623-ms.

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Abstract Usually, the signal-to-noise ratio is low and velocity spatial change is severe in areas where fault traps develop. Seismic data processing brings challenges to geophysicists. It is extremely difficult to improve imaging in deep parts were faults harm wave propagation. Traditional pre-stack data migration imaging methods based on common middle points or common shot points are generated by the geophysical theory hypothesis. To overcome such kind of challenge and improve imaging, full azimuth multi-rays pre-stack depth migration was applied in the B block. Full azimuth multi-rays pre-stack depth migration brings a new concept. Rays scan is generated from imaging point toward the surface, leading to a simultaneous emphasis on both continuous structure and discontinuous objects such as small faults and small-scale fractures. In this paper, a comparison was conducted between conventional Kirchhoff pre-stack depth migration and full azimuth multi-rays pre-stack depth migration. Sufficient tests have been carried out in the fault-developed areas. For geological attributes analysis, subsequent processing can be conducted on multi-domain gathers from full azimuth multi-rays pre-stack depth migration according to the request of geologists. Application of this method in B block in the Middle East shows that full azimuth multi-rays pre-stack depth migration can improve the imaging quality of medium and deep layers and improve the imaging of small faults and small-scale fractures. Full azimuth multi-rays pre-stack depth migration can use isotropic and anisotropic velocity models to perform reflection and directional imaging in the local angle domain. Migration radius is defined by both aperture and angle. Information from all azimuths and angles is fully involved in the imaging process, which is beneficial to imaging small faults and fractures. Structural attributes such as dip, azimuth and continuity of the target zone can be obtained directly from gathers after migration. High-quality structural imaging results can be obtained by effective reflection enhancement processing on gathers from full azimuth multi-rays pre-stack depth migration. Diffraction wave enhancement processing can be used for geological fracture prediction. This paper studies the principle of full azimuth multi-rays pre-stack depth migration, compares it with the conventional Kirchhoff prestack depth migration, analyses the advantages of this method in imaging principle and subsequent gathers processing, and applies it to seismic data of the Middle East B Block heterogeneous carbonate reservoir. The result shows that imaging accuracy of full azimuth multi-rays pre-stack depth migration technology is higher, especially in complex structural areas.
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Reports on the topic "Seismic reflection method – Data processing"

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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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Paschall, Olivia C. Reflection processing of the large-N seismic data from the Source Physics Experiment (SPE). Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1291181.

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Domoracki, W., J. Costain, and C. Coruh. Processing and interpretation of seismic reflection data near the Bane Dome in Bland County, Virginia. Office of Scientific and Technical Information (OSTI), November 1989. http://dx.doi.org/10.2172/5464972.

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Milkereit, B., C. Spencer, and L. J. Mayrand. Migration and amplitude analysis of deep seismic reflection data: processing results of CCSS data sets II and III. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/129023.

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Poley, D. F., and D. C. Lawton. Acquisition and processing of high resolution reflection seismic data from permafrost affected areas of the Canadian part of the Beaufort Sea. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/120141.

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Todd, B. J., and G. D. McNamara. Processing of seismic-reflection data from expedition 91800 of the RV Laurentian, Lake Huron and Georgian Bay, Ontario and Michigan, U.S.A. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2018. http://dx.doi.org/10.4095/308328.

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McNamara, G. D., and B. J. Todd. Processing of interpreted seismic reflection data from expedition 69-2-01 of the CSS Limnos, Lake Huron, Ontario, Canada and Michigan, U.S.A. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2018. http://dx.doi.org/10.4095/308377.

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True-amplitude processing techniques for marine, crustal-reflection seismic data. US Geological Survey, 1990. http://dx.doi.org/10.3133/b1897.

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COLD FORMED STEEL SHEAR WALL RACKING ANALYSIS THROUGH A MECHANISTIC APPROACH: CFS-RAMA. The Hong Kong Institute of Steel Construction, September 2022. http://dx.doi.org/10.18057/ijasc.2022.18.3.2.

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Cold-formed steel shear wall panels are an effective lateral load resisting system in cold-formed steel or light gauge constructions. The behavior of these panels is governed by the interaction of the sheathing - frame fasteners and the sheathing itself. Therefore, analysis of these panels for an applied lateral load (monotonic/cyclic) is complex due to the inherent non-linearity that exists in the fastener-sheathing interaction. This paper presents a novel and efficient, fastener based mechanistic approach that can reliably predict the response of cold-formed steel wall panels for an applied monotonic lateral load. The approach is purely mechanistic, alleviating the modelling complexity, computational costs and convergence issues which is generally confronted in finite element models. The computational time savings are in the order of seven when compared to the finite element counterparts. Albeit its simplicity, it gives a good insight into the component level forces such as on studs, tracks and individual fasteners for post-processing and performance-based seismic design at large. The present approach is incorporated in a computational framework - CFS-RAMA. The approach is general and thereby making it easy to analyze a variety of configurations of wall panels with brittle sheathing materials and the results are validated using monotonic racking test data published from literature. The design parameters estimated using EEEP (Equivalent Energy Elastic Plastic) method are also compared against corresponding experimental values and found in good agreement. The method provides a good estimate of the wall panel behavior for a variety of configurations, dimensions and sheathing materials used, making it an effective design tool for practicing engineers.
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