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Artículos de revistas sobre el tema "Multiple attenuation. Deconvolution. Seismic processing"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 5 de febrero de 2022

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1

Jian, Xingxiang, and Sixin Zhu. "Predictive Deconvolution for Attenuation of Multiple Reflections in Marine Seismic Data Processing." Journal of Coastal Research 73 (March 3, 2015): 310–14. http://dx.doi.org/10.2112/si73-054.1.

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2

Oliveira, Silmara L. R., Rosângela Corrêa Maciel, Michelângelo G. da Silva, and Milton José Porsani. "ATTENUATION OF SHORT-PERIOD MULTIPLES IN SEISMIC DATA PROCESSING OF THE JEQUITINHONHA BASIN, BRAZIL." Revista Brasileira de Geofísica 32, no. 3 (2014): 395. http://dx.doi.org/10.22564/rbgf.v32i3.518.

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ABSTRACT. Short-period multiples attenuation is a difficult problem for shallow water marine seismic data processing. In the past few decades many filteringmethods have been developed to solve this problem and to improve the quality of seismic imaging. The Wiener-Levinson predictive deconvolution method is one of themost useful and well known filter methods used in the seismic data processing flow. It is a statistical approach to reduce redundancy along the time variable seismictrace, allowing us to both improve the time resolution and also attenuate multiple reflections of the seismic traces.
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3

Morozov, Igor, Mohamed Haiba, and Wubing Deng. "Inverse attenuation filtering." GEOPHYSICS 83, no. 2 (2018): V135—V147. http://dx.doi.org/10.1190/geo2016-0211.1.

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Inverse-[Formula: see text] filtering is an important seismic-processing operation often used to correct for attenuation and dispersion effects and increase the resolution of reflection records. However, it is important to realize that the [Formula: see text] is an apparent (phenomenological) attribute of the propagating wavefield and not guaranteed to be a material property. By recognizing the apparent character of the [Formula: see text], the attenuation-correction procedure can be significantly extended and generalized. Our approach consists of forward modeling the propagating source wavefo
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4

Majdański, Mariusz, Clément Kostov, Ed Kragh, Ian Moore, Mark Thompson, and Joachim Mispel. "Attenuation of free-surface multiples by up/down deconvolution for marine towed-streamer data." GEOPHYSICS 76, no. 6 (2011): V129—V138. http://dx.doi.org/10.1190/geo2010-0337.1.

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Free-surface-related multiples in marine seismic data are commonly attenuated using adaptive subtraction of the predicted multiple energy. An alternative method, based on deconvolution of the upgoing wavefield by the downgoing wavefield, was previously applied to ocean-bottom data. We apply the deconvolution method to towed-streamer data acquired in an over/under configuration. We also use direct arrival deconvolution that results in source wavelet designature only, as a benchmark to verify the full multiple deconvolution result. Detailed synthetic data analysis, including sensitivity tests, e
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5

Saad, Omar M., and Yangkang Chen. "Deep denoising autoencoder for seismic random noise attenuation." GEOPHYSICS 85, no. 4 (2020): V367—V376. http://dx.doi.org/10.1190/geo2019-0468.1.

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Attenuation of seismic random noise is considered an important processing step to enhance the signal-to-noise ratio of seismic data. A new approach is proposed to attenuate random noise based on a deep-denoising autoencoder (DDAE). In this approach, the time-series seismic data are used as an input for the DDAE. The DDAE encodes the input seismic data to multiple levels of abstraction, and then it decodes those levels to reconstruct the seismic signal without noise. The DDAE is pretrained in a supervised way using synthetic data; following this, the pretrained model is used to denoise the fiel
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6

Calderón‐Macías, Carlos, Mrinal K. Sen, and Paul L. Stoffa. "Hopfield neural networks, and mean field annealing for seismic deconvolution and multiple attenuation." GEOPHYSICS 62, no. 3 (1997): 992–1002. http://dx.doi.org/10.1190/1.1444205.

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We describe a global optimization method called mean field annealing (MFA) and its application to two basic problems in seismic data processing: Seismic deconvolution and surface related multiple attenuation. MFA replaces the stochastic nature of the simulated annealing method with a set of deterministic update rules that act on the average value of the variables rather than on the variables themselves, based on the mean field approximation. As the temperature is lowered, the MFA rules update the variables in terms of their values at a previous temperature. By minimizing averages, it is possib
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7

Ahadi, A., and M. A. Riahi. "Application of Gabor deconvolution to zero-offset VSP data." GEOPHYSICS 78, no. 2 (2013): D85—D91. http://dx.doi.org/10.1190/geo2011-0319.1.

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The aim of designing deconvolution operators is to extract the reflectivity series from seismic sections. Due to the noise, source signature inconsistency, reflection/transmission, anelastic attenuation, and multiples, the amplitude of a propagating seismic wave varies as a function of time. Because of these factors the frequency spectra of seismic signals narrow with time. Recognition of reflectors using upgoing waves is one of the notable properties of vertical seismic profiling (VSP) data. Designing a deconvolution operator for VSP data based on downgoing waves is considered to be one of th
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8

Linville, A. Frank. "Single‐channel digital filter design for seismic applications." GEOPHYSICS 59, no. 10 (1994): 1584–92. http://dx.doi.org/10.1190/1.1443547.

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A general least‐squares, time‐domain filter design methodology has been developed that is easy to use for a variety of seismic filtering applications. The 1-D finite‐impulse response frequency filter can efficiently provide the noise attenuation and selectivity needed in modern data processing. Flexibility of design allows a choice of all basic types of single‐channel filters commonly used in processing. These include low‐pass, high‐pass, band‐pass, band‐reject, and notch filters. In addition, multiple bands may be passed or rejected using a single operator design without increasing the length
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9

Yu, Siwei, Jianwei Ma, and Wenlong Wang. "Deep learning for denoising." GEOPHYSICS 84, no. 6 (2019): V333—V350. http://dx.doi.org/10.1190/geo2018-0668.1.

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Compared with traditional seismic noise attenuation algorithms that depend on signal models and their corresponding prior assumptions, removing noise with a deep neural network is trained based on a large training set in which the inputs are the raw data sets and the corresponding outputs are the desired clean data. After the completion of training, the deep-learning (DL) method achieves adaptive denoising with no requirements of (1) accurate modelings of the signal and noise or (2) optimal parameters tuning. We call this intelligent denoising. We have used a convolutional neural network (CNN)
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10

Gholami, Ali. "Deconvolutive Radon transform." GEOPHYSICS 82, no. 2 (2017): V117—V125. http://dx.doi.org/10.1190/geo2016-0377.1.

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The Radon transform (RT) plays an important role in seismic data processing for its ability to focus seismic events in the transform domain. The band-limited nature of seismic events due to the blurring effects of the source wavelet, however, causes a decrease in the temporal resolution of the transform. We have developed the deconvolutive RT (DecRT) as a generalization of conventional RT and to increase the temporal resolution. Unlike the conventional counterpart, the new basis functions can take an arbitrary shape in the time direction. This method is thus proposed to adaptively infer the te
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11

Muijs, Remco, Johan O. Robertsson, and Klaus Holliger. "Prestack depth migration of primary and surface-related multiple reflections: Part I — Imaging." GEOPHYSICS 72, no. 2 (2007): S59—S69. http://dx.doi.org/10.1190/1.2422796.

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Surface-related multiples (i.e., all seismic waves reflected at the free surface at least once) often severely contaminate seismic recordings. Because conventional imaging techniques require input data that consist of primary reflections only, significant processing effort is commonly dedicated to attenuating multiples prior to migration. On the other hand, surface-related multiples provide additional illumination of the subsurface and, therefore, should not be considered as noise. We present a prestack depth-migration method that allows primary and multiple reflections to be imaged simultaneo
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12

Li, Min Feng (David), Rodney Johnston, Fiona Sutherland, Jian Qiu, Ping Huang, and Hui An. "An integrated seismic study of a shale reservoir in the Sichuan Basin, onshore China." Leading Edge 38, no. 8 (2019): 617–24. http://dx.doi.org/10.1190/tle38080617.1.

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We describe an integrated seismic evaluation for the Longmaxi shale gas potential in the central part of the Sichuan Basin, onshore China, which benefits from innovations in high-density 3D seismic, borehole-based vertical seismic profiling (VSP), and passive seismic recording for microseismic monitoring. The geology of the basin has a complex history that creates several geophysical challenges, including strong multiple contamination and the requirement for high-resolution data to enable detailed structural and stratigraphic mapping. For the 3D surveys, we adopted a new wide-azimuth and high-
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13

Haghshenas Lari, Hojjat, and Ali Gholami. "Nonstationary deconvolutive Radon transform." GEOPHYSICS 86, no. 4 (2021): V329—V337. http://dx.doi.org/10.1190/geo2020-0771.1.

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Different versions of the Radon transform (RT) are widely used in seismic data processing to focus the recorded seismic events. Multiple separation, data interpolation, and noise attenuation are some of the RT applications in seismic processing workflows. Unfortunately, conventional RT methods cannot focus events perfectly in the RT domain. This problem arises due to the blurring effects of the source wavelet and the nonstationary nature of the seismic data. Sometimes, the distortion results in a big difference between the original data and its inverse transform. We have developed a nonstation
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14

Yue, Hangyu, Baowei Zhang, Kai Wang, et al. "A towed-type shallow high-resolution seismic detection system for coastal tidal flats and its application in Eastern China." Journal of Geophysics and Engineering 17, no. 6 (2020): 967–79. http://dx.doi.org/10.1093/jge/gxaa056.

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Abstract Restricted by detective equipment and tidal influence seriously, coastal tidal flats are often treated as the transition belt of paralic zone in terms of seismic detection, causing low exploration degree and accuracy in these areas. What is worse, conventional shallow seismic method has a complex system and low acquisition efficiency, which cannot meet the requirements for high-efficiency acquisition in tidal flats. To solve these problems, a towed shallow seismic detection system is specially established for coastal tidal areas, mainly including electric spark source and towable ship
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15

Fokkema, Jacob T., and Anton Ziolkowski. "The critical reflection theorem." GEOPHYSICS 52, no. 7 (1987): 965–72. http://dx.doi.org/10.1190/1.1442365.

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In predictive deconvolution of seismic data, it is assumed that the response of the earth is white. Any nonwhite components are presumed to be caused by the source wavelet or by unwanted multiples. We show that this whiteness assumption is invalid at precritical incidence. We consider plane waves incident on a layered acoustic half‐space. At exactly critical incidence at any interface in the half‐space, the lower layer acts similar to a rigid plate. The response of the half‐space is then all‐pass, or white. This result we call the critical reflection theorem. The response is also white if the
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16

Sui, Yuhan, and Jianwei Ma. "A nonstationary sparse spike deconvolution with anelastic attenuation." GEOPHYSICS 84, no. 2 (2019): R221—R234. http://dx.doi.org/10.1190/geo2017-0846.1.

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Seismic wavelet estimation and deconvolution are essential for high-resolution seismic processing. Because of the influence of absorption and scattering, the frequency and phase of the seismic wavelet change with time during wave propagation, leading to a time-varying seismic wavelet. To obtain reflectivity coefficients with more accurate relative amplitudes, we should compute a nonstationary deconvolution of this seismogram, which might be difficult to solve. We have extended sparse spike deconvolution via Toeplitz-sparse matrix factorization to a nonstationary sparse spike deconvolution appr
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17

Li, Fangyu, Rongchang Liu, Yihuai Lou, and Naihao Liu. "Revisit seismic attenuation attributes: Influences of the spectral balancing operation on seismic attenuation analysis." Interpretation 9, no. 3 (2021): T767—T779. http://dx.doi.org/10.1190/int-2020-0186.1.

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Seismic attenuation analysis is important for seismic processing and quantitative interpretation. Nevertheless, classic quality factor estimation methods make certain assumptions that may be invalid for a given geologic target and seismic volume. For this reason, seismic attenuation attribute analysis, which reduces some of the theoretical assumptions, can serve as a practical alternative in apparent attenuation characterization. Unfortunately, most of the published literature defines seismic attenuation attributes based on a specific source wavelet assumption, such as the Ricker wavelet, rath
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18

Colombo, Daniele, Diego Rovetta, Ernesto Sandoval-Curiel, and Apostolos Kontakis. "Transmission-based near-surface deconvolution." GEOPHYSICS 85, no. 2 (2020): V169—V181. http://dx.doi.org/10.1190/geo2019-0443.1.

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We have developed a new framework for performing surface-consistent amplitude balancing and deconvolution of the near-surface attenuation response. Both approaches rely on the early arrival waveform of a seismic recording, which corresponds to the refracted or, more generally speaking, to the transmitted energy from a seismic source. The method adapts standard surface-consistent amplitude compensation and deconvolution to the domain of refracted/transmitted waves. A sorting domain specific for refracted energy is extended to the analysis of amplitude ratios of each trace versus a reference ave
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19

Huo, Shoudong, and Yanghua Wang. "Improving adaptive subtraction in seismic multiple attenuation." GEOPHYSICS 74, no. 4 (2009): V59—V67. http://dx.doi.org/10.1190/1.3122408.

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In seismic multiple attenuation, once the multiple models have been built, the effectiveness of the processing depends on the subtraction step. Usually the primary energy is partially attenuated during the adaptive subtraction if an [Formula: see text]-norm matching filter is used to solve a least-squares problem. The expanded multichannel matching (EMCM) filter generally is effective, but conservative parameters adopted to preserve the primary could lead to some remaining multiples. We have managed to improve the multiple attenuation result through an iterative application of the EMCM filter
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20

Oren, Can, and Robert L. Nowack. "An overview of reproducible 3D seismic data processing and imaging using Madagascar." GEOPHYSICS 83, no. 2 (2018): F9—F20. http://dx.doi.org/10.1190/geo2016-0603.1.

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We present an overview of reproducible 3D seismic data processing and imaging using the Madagascar open-source software package. So far, there has been a limited number of studies on the processing of real 3D data sets using open-source software packages. Madagascar with its wide range of individual programs and tools available provides the capability to fully process 3D seismic data sets. The goal is to provide a streamlined illustration of the approach for the implementation of 3D seismic data processing and imaging using the Madagascar open-source software package. A brief introduction is f
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21

Porsani, Milton J., and Bjørn Ursin. "Direct multichannel predictive deconvolution." GEOPHYSICS 72, no. 2 (2007): H11—H27. http://dx.doi.org/10.1190/1.2432260.

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The Levinson principle generally can be used to compute recursively the solution of linear equations. It can also be used to update the error terms directly. This is used to do single-channel deconvolution directly on seismic data without computing or applying a digital filter. Multichannel predictive deconvolution is used for seismic multiple attenuation. In a standard procedure, the prediction-error filter matrices are computed with a Levinson recursive algorithm, using a covariance matrix of the input data. The filtered output is the prediction errors or the nonpredictable part of the data.
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22

Bekara, Maïza, and Mirko van der Baan. "Random and coherent noise attenuation by empirical mode decomposition." GEOPHYSICS 74, no. 5 (2009): V89—V98. http://dx.doi.org/10.1190/1.3157244.

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We have devised a new filtering technique for random and coherent noise attenuation in seismic data by applying empirical mode decomposition (EMD) on constant-frequency slices in the frequency-offset [Formula: see text] domain and removing the first intrinsic mode function. The motivation behind this development is to overcome the potential low performance of [Formula: see text] deconvolution for signal-to-noise enhancement when processing highly complex geologic sections, data acquired using irregular trace spacing, and/or data contaminated with steeply dipping coherent noise. The resulting [
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23

Ikelle, Luc T. "Another optimization trick for the multiple-attenuation method: Multishooting processing of single-shot data." GEOPHYSICS 74, no. 4 (2009): V83—V88. http://dx.doi.org/10.1190/1.3125875.

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We consider marine seismic data collected in a standard shot-gather form, i.e., seismic waves generated from one single-source location at a time. We propose to group these data as if they were acquired with a multishooting technique (to simulate seismic waves generated from several shot locations simultaneously) and then to demultiple them as multishot data. By doing so, we reduce the size of our data and processing time several fold.
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Subarsyah, Subarsyah, and Sahudin Sahudin. "PENERAPAN METODE F-K DEMULTIPLE DALAM KASUS ATENUASI WATER-BOTTOM MULTIPLE." JURNAL GEOLOGI KELAUTAN 11, no. 1 (2016): 33. http://dx.doi.org/10.32693/jgk.11.1.2013.229.

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Keberadaan water-bottom multiple merupakan hal yang tidak bisa dihindari dalam akuisisi data seismik laut, tentu saja hal ini akan menurunkan tingkat perbandingan sinyal dan noise. Beberapa metode atenuasi telah dikembangkan dalam menekan noise ini. Metode atenuasi multiple diklasifikasikan dalam tiga kelompok meliputi metode dekonvolusi yang mengidentifikasi multiple berdasarkan periodisitasnya, metode filtering yang memisahkan refleksi primer dan multiple dalam domain tertentu (F-K,Tau-P dan Radon domain) serta metode prediksi medan gelombang. Penerapan metode F-K demultiple yang masuk kateg
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25

Burton, Andrew, and Larry Lines. "VSP detection of interbed multiples using inside‐outside corridor stacking." GEOPHYSICS 62, no. 5 (1997): 1628–35. http://dx.doi.org/10.1190/1.1444265.

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One of the most difficult problems in the exploration of Devonian reefs is the separation of primaries and short period interbed multiples. This is especially true in cases where weak primary reflections from porous reefal carbonates can be easily masked by interbed multiples generated from stronger shale/carbonate reflections above the reef. This problem of primary‐multiple separation is difficult since there are small normal moveout differences between the primary and short‐period multiple reflections, thus stacking might not be as effective at suppressing multiples as one would hope. Also,
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26

Nazari Siahsar, Mohammad Amir, Saman Gholtashi, Amin Roshandel Kahoo, Hosein Marvi, and Alireza Ahmadifard. "Sparse time-frequency representation for seismic noise reduction using low-rank and sparse decomposition." GEOPHYSICS 81, no. 2 (2016): V117—V124. http://dx.doi.org/10.1190/geo2015-0341.1.

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Attenuation of random noise is a major concern in seismic data processing. This kind of noise is usually characterized by random oscillation in seismic data over the entire time and frequency. We introduced and evaluated a low-rank and sparse decomposition-based method for seismic random noise attenuation. The proposed method, which is a trace by trace algorithm, starts by transforming the seismic signal into a new sparse subspace using the synchrosqueezing transform. Then, the sparse time-frequency representation (TFR) matrix is decomposed into two parts: (a) a low-rank component and (b) a sp
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27

Pan, Shulin, Ke Yan, Haiqiang Lan, José Badal, and Ziyu Qin. "A Sparse Spike Deconvolution Algorithm Based on a Recurrent Neural Network and the Iterative Shrinkage-Thresholding Algorithm." Energies 13, no. 12 (2020): 3074. http://dx.doi.org/10.3390/en13123074.

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Conventional sparse spike deconvolution algorithms that are based on the iterative shrinkage-thresholding algorithm (ISTA) are widely used. The aim of this type of algorithm is to obtain accurate seismic wavelets. When this is not fulfilled, the processing stops being optimum. Using a recurrent neural network (RNN) as deep learning method and applying backpropagation to ISTA, we have developed an RNN-like ISTA as an alternative sparse spike deconvolution algorithm. The algorithm is tested with both synthetic and real seismic data. The algorithm first builds a training dataset from existing wel
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28

Ma, Jitao, Guoyang Xu, Xiaohong Chen, Xiaoliu Wang, and Zhenjiang Hao. "Multiple attenuation with 3D high-order high-resolution parabolic Radon transform using lower frequency constraints." GEOPHYSICS 85, no. 3 (2020): V317—V328. http://dx.doi.org/10.1190/geo2018-0742.1.

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The parabolic Radon transform is one of the most commonly used multiple attenuation methods in seismic data processing. The 2D Radon transform cannot consider the azimuth effect on seismic data when processing 3D common-depth point gathers; hence, the result of applying this transform is unreliable. Therefore, the 3D Radon transform should be applied. The theory of the 3D Radon transform is first introduced. To address sparse sampling in the crossline direction, a lower frequency constraint is introduced to reduce spatial aliasing and improve the resolution of the Radon transform. An orthogona
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Ma, Jitao, Xiaohong Chen, Mrinal K. Sen, and Yaru Xue. "Free-surface multiple attenuation for blended data." GEOPHYSICS 81, no. 3 (2016): V227—V233. http://dx.doi.org/10.1190/geo2015-0408.1.

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Blended data sets are now being acquired because of improved efficiency and reduction in cost compared with conventional seismic data acquisition. We have developed two methods for blended data free-surface multiple attenuation. The first method is based on an extension of surface-related multiple elimination (SRME) theory, in which free-surface multiples of the blended data can be predicted by a multidimensional convolution of the seismic data with the inverse of the blending operator. A least-squares inversion method is used, which indicates that crosstalk noise existed in the prediction res
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Kelamis, Panos G., and D. J. Verschuur. "Surface‐related multiple elimination on land seismic data—Strategies via case studies." GEOPHYSICS 65, no. 3 (2000): 719–34. http://dx.doi.org/10.1190/1.1444771.

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Three processing strategies for the estimation and subsequent elimination of surface‐related multiple energy on land seismic data are presented. They can be applied in a prestack mode (to shot and common‐midpoint gathers) or in a poststack mode. The algorithm for the multiple attenuation is based on wave theoretical principles in which the data are used as a prediction operator. The estimated multiples are then adaptively subtracted from the input data to obtain primary‐only data. A processing step prior to applying multiple elimination is an important component of these methodologies, particu
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da Costa Filho, Carlos Alberto, Giovanni Angelo Meles, and Andrew Curtis. "Elastic internal multiple analysis and attenuation using Marchenko and interferometric methods." GEOPHYSICS 82, no. 2 (2017): Q1—Q12. http://dx.doi.org/10.1190/geo2016-0162.1.

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Conventional seismic processing aims to create data that contain only primary reflections, whereas real seismic recordings also contain multiples. As such, it is desirable to predict, identify, and attenuate multiples in seismic data. This task is more difficult in elastic (solid) media because mode conversions create families of internal multiples not present in the acoustic case. We have developed a method to predict prestack internal multiples in general elastic media based on the Marchenko method and convolutional interferometry. It can be used to identify multiples directly in prestack da
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32

Hanna, M. T. "Multiple signal extraction by multiple interference attenuation in the presence of random noise in seismic array data." IEEE Transactions on Signal Processing 51, no. 7 (2003): 1683–94. http://dx.doi.org/10.1109/tsp.2003.812729.

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Schwardt, Michaela, Dennis Wilken, and Wolfgang Rabbel. "Attenuation of Seismic Multiples in Very Shallow Water: An Application in Archaeological Prospection Using Data Driven Approaches." Remote Sensing 13, no. 10 (2021): 1871. http://dx.doi.org/10.3390/rs13101871.

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Water-layer multiples pose a major problem in shallow water seismic investigations as they interfere with primaries reflected from layer boundaries or archaeology buried only a few meters below the water bottom. In the present study we evaluate two model-driven approaches (“Prediction and Subtraction” and “RTM-Deco”) to attenuate water-layer multiple reflections in very shallow water using synthetic and field data. The tests comprise both multi- and constant-offset data. We compare the multiple removal efficiency of the evaluated methods with two traditional methods (Predictive Deconvolution a
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Qi, Chen, and Fred Hilterman. "Well ties for seismic with severe stratigraphic filtering." GEOPHYSICS 82, no. 5 (2017): IM31—IM39. http://dx.doi.org/10.1190/geo2016-0695.1.

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Stratigraphic filtering (SF), or short-period multiples, is prominent in cyclically stratified sedimentation with large impedance contrasts that result in normal-incident reflection magnitudes greater than 0.5. Because SF attenuates and delays the propagating wavelet, similar to the effects of [Formula: see text] attenuation, the integrity of well ties is often jeopardized. A method is proposed to obtain better well ties in areas with severe SF. Starting with a well-log acoustic impedance curve, two-way transmitted wavefields and their equivalent inverse filters are generated at each time samp
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35

Cao, Tong, and Shao Bin Guo. "Application of Absorption and Attenuation Analysis Based on Pre-Stack Seismic Data: Su-77 Block Gas Field Example." Advanced Materials Research 772 (September 2013): 771–75. http://dx.doi.org/10.4028/www.scientific.net/amr.772.771.

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Most hydrocarbon absorption attenuation studies are based on poststack seismic data processing but, because of multiple stacks at full angle, poststack data will lose some lithology and hydrocarbon-bearing capacity information. To overcome this disadvantage, a prestack angle-domain absorption attenuation analysis technique can be performed for seismic data stacked at various angles to obtain angle-domain-dependent absorption profiles. The absorption anomaly reflects the gas-bearing reservoir and also decreases as the angle increases. Actual data from the Sulige gas field, Ordos Basin, have bee
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36

Bano, Maksim. "Q-phase compensation of seismic records in the frequency domain." Bulletin of the Seismological Society of America 86, no. 4 (1996): 1179–86. http://dx.doi.org/10.1785/bssa0860041179.

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Abstract The attenuation process acts as a low-pass filter that attenuates the high frequencies (absorption) of the signal spectrum and also changes the phase of the seismic wavelet (dispersion). Seismic frequency losses are usually recovered according to an appropriate processing technique (such as deterministic or statistical deconvolution methods), while phase distortions are generally disregarded. Therefore, accurate processing of seismic data requires a careful investigation of the relationship between absorption and phase. In this article, a procedure is presented to accomplish this goal
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Filgueiras Pereira, Tiago, and Sérgio Adriano Moura Oliveira. "The effectiveness of spectral decomposition-based layer thickness estimation: A seismic physical modeling example." Interpretation 8, no. 3 (2020): T625—T637. http://dx.doi.org/10.1190/int-2019-0236.1.

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We have constructed a channel complex model at a scale of 1:10,000 by stacking 3D-printed polylactide layers with negative relief meandering channels. This model was subjected to an ultrasonic common-offset acquisition in a water tank (with the water filling the channels), and the result was treated as a zero-offset 3D acoustic reflection seismogram, receiving a deterministic deconvolution and a poststack migration as data treatment. We then developed an algorithm to yield volumes of estimated two-way time layer thickness from multiple-frequency volumes obtained through the short-time Fourier
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38

Robinson, Enders, and Tijmen Jan Moser. "Memorial." Leading Edge 39, no. 11 (2020): 839. http://dx.doi.org/10.1190/tle39110839.1.

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Virgil Bardan was known for his contributions to seismic data acquisition and digital data processing related to inversion, sampling, and multiple attenuation. His numerous publications and erudite presentations, in a career that extended for more than 45 years, established him as a leader in exploration geophysics.
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39

Zhang, Dongliang, Constantinos Tsingas, Ahmed A. Ghamdi, et al. "A review of OBN processing: challenges and solutions." Journal of Geophysics and Engineering 18, no. 4 (2021): 492–502. http://dx.doi.org/10.1093/jge/gxab024.

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Abstract In the last decade, a significant shift in the marine seismic acquisition business has been made where ocean bottom nodes gained a substantial market share from streamer cable configurations. Ocean bottom node acquisition (OBN) can acquire wide azimuth seismic data over geographical areas with challenging deep and shallow bathymetries and complex subsurface regimes. When the water bottom is rugose and has significant elevation differences, OBN data processing faces a number of challenges, such as denoising of the vertical geophone, accurate wavefield separation, redatuming the sparse
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40

Ma, Jitao, Mrinal K. Sen, and Xiaohong Chen. "Free-surface multiple attenuation using inverse data processing in the coupled plane-wave domain." GEOPHYSICS 74, no. 4 (2009): V75—V81. http://dx.doi.org/10.1190/1.3137059.

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Free-surface multiples contain a large amount of energy in the seismic data because of large reflectivity of the free surface. We propose a method for free-surface multiple attenuation by a simple muting in the inverse coupled plane-wave domain. Our method is based on inverse data processing and the well-known 2D invariant embedding technique. If the lateral variation in subsurface structure is smooth, the data are well compressed in the 2D coupled plane-wave domain, reducing computation costs and stabilizing the inversion procedure. Surface multiples and primaries are well separated in the in
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41

Taimur, Asad, Akinniyi Akinsunmade, Sylwia Tomecka-Suchon, and Fahad Mehmood. "Frequency bandwidth enhancement using continuous wavelet transform and random noise attenuation by f-xy filtering technique – a case study from Badin oilfield, Indus basin, Pakistan." E3S Web of Conferences 133 (2019): 01007. http://dx.doi.org/10.1051/e3sconf/201913301007.

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Routine seismic data processing does not always meet the quantitative interpreters’ expectations especially in areas like Badin, where prospective thin bed B – sand interval is ambiguous throughout the seismic volume. Continuous Wavelet Transform (CWT) provides detailed description of seismic signal in both time and frequency without compromising on window length and a fixed time-frequency resolution over time-frequency spectrum. We present enhancement of seismic data for effective interpretation using the bandwidth extension technique. Implementing bandwidth extension, the dominant frequency
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42

LICHMAN, EUGENE. "INFORMATIONAL CAPACITY OF ACOUSTIC MEASUREMENTS." Journal of Computational Acoustics 09, no. 04 (2001): 1395–406. http://dx.doi.org/10.1142/s0218396x01001194.

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Presented is the theoretical model for extracting the system response from measurements of the acoustic wave propagating through the linear system. Based on the results of this analysis, measurements are described as a convolution of the impulse response of the system with the mixed-phase-lag nonstationary forward wavelet (or source-generated wavefield). The source-generated wavefield includes all multiple terms generated within the system as well as the energy source signature and the detector characteristics. It is shown that the decay ratio of the source-generated wavefield can be used to s
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43

Du, Xin, Guofa Li, Mo Zhang, Hao Li, Wuyang Yang, and Wanli Wang. "Multichannel band-controlled deconvolution based on a data-driven structural regularization." GEOPHYSICS 83, no. 5 (2018): R401—R411. http://dx.doi.org/10.1190/geo2017-0516.1.

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Sparse deconvolution methods frequently invert for subsurface reflection impulses and adopt a trace-by-trace processing pattern. However, following this approach causes unreliability of the estimated reflectivity due to the nonuniqueness of the inverse problem, the poor spatial continuity of structures in the reconstructed reflectivity section, and the suppression on the reflection signals with small amplitudes. We have developed a structurally constrained multichannel band-controlled deconvolution (SC-MBCD) algorithm to alleviate these three issues. The algorithm inverts for a high-resolution
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44

Morozov, Igor B., and Jinfeng Ma. "Accurate poststack acoustic-impedance inversion by well-log calibration." GEOPHYSICS 74, no. 5 (2009): R59—R67. http://dx.doi.org/10.1190/1.3170687.

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The seismic-impedance inversion problem is underconstrained inherently and does not allow the use of rigorous joint inversion. In the absence of a true inverse, a reliable solution free from subjective parameters can be obtained by defining a set of physical constraints that should be satisfied by the resulting images. A method for constructing synthetic logs is proposed that explicitly and accurately satisfies (1) the convolutional equation, (2) time-depth constraints of the seismic data, (3) a background low-frequency model from logs or seismic/geologic interpretation, and (4) spectral ampli
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45

Lin, Yi, and Jinhai Zhang. "Progressive denoising of seismic data via robust noise estimation in dual domains." GEOPHYSICS 85, no. 1 (2020): V99—V118. http://dx.doi.org/10.1190/geo2019-0010.1.

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Random noise attenuation plays an important role in seismic data processing. Most traditional methods suppress random noise either in the time-space domain or in the transformed domain, which may encounter difficulty in retaining the detailed structures. We have introduced the progressive denoising method to suppress random noise in seismic data. This method estimates random noise at each sample independently by imposing proper constraints on local windowed data in the time-space domain and then in the transformed domain, and the denoised results of the whole data set are gradually improved by
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46

Baykulov, Mikhail, Stefan Dümmong, and Dirk Gajewski. "From time to depth with CRS attributes." GEOPHYSICS 76, no. 4 (2011): S151—S155. http://dx.doi.org/10.1190/1.3580607.

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A processing workflow was introduced for reflection seismic data that is based entirely on common-reflection-surface (CRS) stacking attributes. This workflow comprises the CRS stack, multiple attenuation, velocity model building, prestack data enhancement, trace interpolation, and data regularization. Like other methods, its limitation is the underlying hyperbolic assumption. The CRS workflow provides an alternative processing path in case conventional common midpoint (CMP) processing is unsatisfactory. Particularly for data with poor signal-to-noise ratio and low-fold acquisition, the CRS wor
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47

Oliveira, Andrei Gomes de, and Ellen De Nazaré Souza Gomes. "DETERMINATION OF AN OPTIMAL PROCESSING FLOW FOR THE SUPPRESSION OF FREE-SURFACE MULTIPLES IN REAL 2D MARINE DATA." Revista Brasileira de Geofísica 31, no. 1 (2013): 137. http://dx.doi.org/10.22564/rbgf.v31i1.252.

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The presence of multiple reflections is common in marine surveys due to the air-water interface. Multiples have significant energy and can mask deep reflectors, leading to the misinterpretation of seismic cross-sections. In this study, surface-related multiple elimination (SRME), predictive deconvolution in the domain τ − p domain and Radon and f − k filtering are used to eliminate surface multiples in real 2D marine data. These methods are applied in different combinations, and the results are analyzed with the aim of determining an optimal seismic processing flow for the removal of surface m
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48

Li, Chengbo, Charles C. Mosher, and Yu Zhang. "A direct noise attenuation approach in processing of land continuous records." Leading Edge 40, no. 4 (2021): 288–96. http://dx.doi.org/10.1190/tle40040288.1.

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Blended source acquisition has drawn great attention in industry due to its increased efficiency and reduced overall cost for acquiring seismic data. It eliminates the requirement of a minimum time (usually determined by record length) between adjacent shots and allows multiple sources to be activated simultaneously and independently. Conventional processing simply converts continuous records into fixed-length records using the source excitation time and then applies traditional denoising techniques to the fixed-length records. Source excitation time is used to extract fixed-length records tha
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49

Hwang, H. J., and B. J. Mitchell. "Interstation surface wave analysis by Frequency-domain Wiener deconvolution and modal isolation." Bulletin of the Seismological Society of America 76, no. 3 (1986): 847–64. http://dx.doi.org/10.1785/bssa0760030847.

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Abstract A new technique which combines frequency-domain Wiener filtering and modal isolation is developed for determining interstation phase velocities, group velocities, and attenuation coefficients for seismic surface waves. Frequency-domain Wiener filtering is more effective than time-domain Wiener filtering for the determination because it uses a smaller window lag which produces a smoother interstation Green's function. This leads to greater accuracy and stability when noise-contaminated data are analyzed. We optimize Wiener filtering in the frequency domain by applying two trapezoidal w
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50

Sanchis, Charlotte, and Alfred Hanssen. "Sparse code shrinkage for signal enhancement of seismic data." GEOPHYSICS 76, no. 6 (2011): V151—V167. http://dx.doi.org/10.1190/geo2010-0128.1.

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Sparse code shrinkage is a method that is commonly used for image denoising and that has recently found some applications in seismic for random noise attenuation and multiple removal in a simplified form. Sparse coding finds a representation of the data in which each component is only rarely significantly active. Such a representation is closely related to independent component analysis. We discuss the link between sparse coding and independent component analysis, and show how the application of shrinkages to sparse components manages to attenuate the noise in seismic data. The use of data-dri
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