Automatic extraction of fault surfaces from three‐dimensional seismic data

Abstract

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2001Automatic extraction of fault surfaces from three‐dimensional seismic dataAuthors: Trygve RandenStein Inge PedersenLars SønnelandTrygve RandenSchlumberger Stavanger Research, Stein Inge PedersenSchlumberger Stavanger Research, and Lars SønnelandSchlumberger Stavanger Researchhttps://doi.org/10.1190/1.1816675 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1816675FiguresReferencesRelatedDetailsCited ByFault surface extraction from a global perspectiveCheng Zhou, Ruoshui Zhou, Xianglin Zhan, Hanpeng Cai, Xingmiao Yao, and Guangmin Hu13 July 2022 | GEOPHYSICS, Vol. 87, No. 5Fault enhancement comparison among coherence enhancement, probabilistic neural networks, and convolutional neural networks in the Taranaki Basin area, New ZealandJosé P. Mora, Heather Bedle, and Kurt J. 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A case study of the 3D Nimitz seismic survey, Taranaki Basin, New ZealandRoberto Clairmont and Heather Bedle20 November 2020 | Interpretation, Vol. 8, No. 46D phase-difference attributes for wide-azimuth seismic data interpretationSanyi Yuan, Jinghan Wang, Tao Liu, Tao Xie, and Shangxu Wang10 November 2020 | GEOPHYSICS, Vol. 85, No. 6An innovative seismic and statistical approach to understand 3D magmatic structures and ore deposits in the western Bushveld Complex, South AfricaOre Geology Reviews, Vol. 126Comparing convolutional neural networking and image processing seismic fault detection methodsJie Qi, Bin Lyu, Xinming Wu, and Kurt Marfurt30 September 2020Characterization of natural fracture on basement reservoir using the integration of ant tracking attribute, FMI log, and resistivity log at "POME" field, Jambi sub basinImproved structural interpretation of legacy 3D seismic data from Karee platinum mine (South Africa) through the application of novel seismic attributes19 November 2019 | Geophysical Prospecting, Vol. 68, No. 1FaultNet3D: Predicting Fault Probabilities, Strikes, and Dips With a Single Convolutional Neural NetworkIEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 11Application of gradient structure tensor method in CBM fracture identification and sweet spot prediction17 October 2019 | Arabian Journal of Geosciences, Vol. 12, No. 20Unconventional Reservoir Geomechanics14 June 2019 | , Vol. 1FaultSeg3D: Using synthetic data sets to train an end-to-end convolutional neural network for 3D seismic fault segmentationXinming Wu, Luming Liang, Yunzhi Shi, and Sergey Fomel16 April 2019 | GEOPHYSICS, Vol. 84, No. 3Seismic Fault Detection Using Convolutional Neural Networks Trained on Synthetic Poststacked Amplitude MapsIEEE Geoscience and Remote Sensing Letters, Vol. 16, No. 3Detecting faults and channels while enhancing seismic structural and stratigraphic featuresXinming Wu and Zhenwei Guo21 December 2018 | Interpretation, Vol. 7, No. 1Detection of subtle differences in seismic amplitude using convergence rate of the logistic mapMeng Li, Xiaodong Zheng, and Yan Zhang20 December 2018 | GEOPHYSICS, Vol. 84, No. 1Image processing of seismic attributes for automatic fault extractionJie Qi, Bin Lyu, Abdulmohsen AlAli, Gabriel Machado, Ying Hu, and Kurt Marfurt26 November 2018 | GEOPHYSICS, Vol. 84, No. 1Automatic fault interpretation with optimal surface votingXinming Wu and Sergey Fomel21 August 2018 | GEOPHYSICS, Vol. 83, No. 5Convolutional neural networks for fault interpretation in seismic imagesXinming Wu, Yunzhi Shi, Sergey Fomel, and Luming Liang27 August 2018Improving faults continuity for extraction by transfer learning based on synthetic dataLiyuan Xing, Victor Aarre, and Theoharis Theoharis27 August 2018Automatic fault interpretation using optimal surface votingXinming Wu and Sergey Fomel27 August 2018Lithology-controlled stress variations and pad-scale faults: A case study of hydraulic fracturing in the Woodford Shale, OklahomaXiaodong Ma and Mark D. 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Marfurt2 August 2016 | The Leading Edge, Vol. 35, No. 8Automatically interpreting all faults, unconformities, and horizons from 3D seismic imagesXinming Wu and Dave Hale18 April 2016 | Interpretation, Vol. 4, No. 2Low-level Faults Identification and Effect on Complicated ReservoirsYu Tian-Yu, Chen Kai-Yuan, and Wang Chun22 April 20163D seismic image processing for faultsXinming Wu and Dave Hale26 February 2016 | GEOPHYSICS, Vol. 81, No. 2Spectral similarity fault enhancementDustin T. Dewett and Alissa A. Henza24 February 2016 | Interpretation, Vol. 4, No. 1References26 September 2016Application of an Improved Ant Colony in Faults TrackingPredictive coherenceParvaneh Karimi, Sergey Fomel, Lesli Wood, and Dallas Dunlap16 July 2015 | Interpretation, Vol. 3, No. 43D seismic image processing for faultsXinming Wu and Dave Hale19 August 2015A fault surface extraction and reconstruction method based on 3D seismic imageXingmiao Yao*, Wenjing Chen, Guangmin Hu, Wen Zou, and Zhong Li5 August 2014Semiautomated fault interpretation based on seismic attributesBo Zhang, Yuancheng Liu, Michael Pelissier, and Nanne Hemstra31 January 2014 | Interpretation, Vol. 2, No. 1Estimating randomness using seismic disorderSaleh Al-Dossary, Yuchun Eugene Wang, and Mark McFarlane31 January 2014 | Interpretation, Vol. 2, No. 1Semi-automated fault interpretation based on seismic attributesBo Zhang, Yuancheng Liu, Nanne Hemstra, and Michael Pelissier19 August 2013Methods to compute fault images, extract fault surfaces, and estimate fault throws from 3D seismic imagesDave Hale25 February 2013 | GEOPHYSICS, Vol. 78, No. 2Automatic fault tracking based on ant colony algorithmsComputers & Geosciences, Vol. 51An automatic fault tracking approach based on ant colony algorithmYan Zhe and Gu Hanming25 October 2012Imaging faults in 3D seismic volumesGeoffrey A. Dorn, Benjamin Kadlec, and Patty Murtha25 October 2012Application of Fault Detection Using Ant-Tracking Algorithm: Daqing Oilfield Example1 January 2012 | Advanced Materials Research, Vol. 459Integrating All Available Data to Improve Production in the Marcellus Shale14 June 2011Flow Unit Characterization and Geo-modeling of a Structurally Complex Fluvio-deltaic Reservoir using an Integrated Approach15 March 2009Fault identification using competitive learningMarcos Machado and Marcelo Gattass23 November 20078. Structure-oriented Filtering and Image Enhancement21 March 2012Autotracking of faults on 3D seismic dataFitsum Admasu, Stefan Back, and Klaus Toennies12 October 2006 | GEOPHYSICS, Vol. 71, No. 6Using Neural Networks to Evaluate the Effectiveness of a new Seismic Fault AttributeAutomatic Fault Extraction Using Ant Tracking Algorithm in the Marlim South Field, Campos BasinCelina C. Silva, Cristiano S. Marcolino, and Fabrizio D. Lima14 September 2005Automatic faults extraction using double hough transformPierre Jacquemin and Jean‐Laurent Mallet7 December 2005Automatic fault extraction using ant tracking algorithm in the Marlim South Field, Campos BasinCelina C. Silva, Cristiano S. Marcolino, and Fabrizio D. Lima7 December 2005Automated Structural Interpretation Through Classification of Seismic HorizonsAutomatic Fault Extraction Using Artificial AntsNew paradigm of fault interpretationStein Inge Pedersen, Thorleif Skov, Arne Hetlelid, Pauline Fayemendy, Trygve Randen, and Lars Sønneland3 January 2005New tools for 4D seismic analysis in compacting reservoirs1 January 2003 | Petroleum Geoscience, Vol. 9, No. 1Automatic fault extraction using artificial antsStein Inge Pedersen, Trygve Randen, Lars Sonneland, and Øyvind Steen3 January 2005 SEG Technical Program Expanded Abstracts 2001ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2001 Pages: 2135 publication data© 2001 Copyright © 2001 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 03 Jan 2005 CITATION INFORMATION Trygve Randen, Stein Inge Pedersen, and Lars Sønneland, (2001), "Automatic extraction of fault surfaces from three‐dimensional seismic data," SEG Technical Program Expanded Abstracts : 551-554. https://doi.org/10.1190/1.1816675 Plain-Language Summary PDF DownloadLoading ...