Relevant bibliographies by topics / Multiple attenuation. Deconvolution. Seismic processing

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Multiple attenuation. Deconvolution. Seismic processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Multiple attenuation. Deconvolution. Seismic processing"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Multiple attenuation. Deconvolution. Seismic processing"

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Luz, Marcos Augusto Lima da. "Compara??o de desempenho da deconvolu??o preditiva multicanal e da filtragem f-k na atenua??o de m?ltiplas do fundo do mar." Universidade Federal do Rio Grande do Norte, 2012. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18829.

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Made available in DSpace on 2015-03-13T17:08:35Z (GMT). No. of bitstreams: 1 MarcosALL_DISSERT.pdf: 5173840 bytes, checksum: 26fa2fd6ccf8445fa5e27cbfeebf642c (MD5) Previous issue date: 2012-12-18<br>Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico<br>The seismic reflection is used on a large scale in oil exploration. In case of marine acquisition the presence of high impedance contrast at the interfaces water/air generates multiple reflections events. Such multiple events can mask primary events; thus from the interpretational viewpoint it is necessary to mitigate the multiples.
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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<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Cientifica<br>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<br>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 refle
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Book chapters on the topic "Multiple attenuation. Deconvolution. Seismic processing"

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"Chapter 27 : Surface Related Multiple Attenuation and Imaging." In Illustrated Seismic Processing Volume 2: Preimaging. Society of Exploration Geophysicists, 2020. http://dx.doi.org/10.1190/1.9781560803690.ch27.

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Conference papers on the topic "Multiple attenuation. Deconvolution. Seismic processing"

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C. Sava, P., and A. Guitton. "Multiple Attenuation after Migration." In EAGE/SEG Summer Research Workshop - Processing and imaging of seismic data. European Association of Geoscientists & Engineers, 2003. http://dx.doi.org/10.3997/2214-4609.201405901.

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Lichman, Eugene. "Phase inversion deconvolution for surface consistent processing and multiple attenuation." In SEG Technical Program Expanded Abstracts 1999. Society of Exploration Geophysicists, 1999. http://dx.doi.org/10.1190/1.1820748.

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Yu, Gang, Junjun Wu, Yuanzhong Chen, and Ximing Wang. "Borehole-Driven 3D Surface Seismic Data Processing Using DAS-VSP Data." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21463-ms.

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Abstract A 3D surface seismic data acquisition project was conducted simultaneously with 3D DAS-VSP data acquisition in one well in Jilin Oilfield of Northen China. The 3D surface seismic data acquisition project covered an area of 75 km2, and one borehole (DS32-3) and an armoured optical cable with high temperature single mode fiber were used to acquire the 3D DAS-VSP data simultaneously when the crew was acquiring the 3D surface seismic data. The simultaneously acquired 3D DAS-VSP data were used to extract formation velocity, deconvolution operator, absorption, attenuation (Q value), anisotr
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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 mult
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