Automatic fault extraction using artificial ants

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2002Automatic fault extraction using artificial antsAuthors: Stein Inge PedersenTrygve RandenLars SonnelandØyvind SteenStein Inge PedersenSchlumberger Stavanger Research, Trygve RandenSchlumberger Stavanger Research, Lars SonnelandSchlumberger Stavanger Research, and Øyvind SteenStatoilhttps://doi.org/10.1190/1.1817297 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1817297FiguresReferencesRelatedDetailsCited byRock Physics Modeling and Seismic AVAZ Responses of Fractured Reservoirs with Different Azimuths14 February 2023 | Pure and Applied Geophysics, Vol. 205Channel connection and stimulated reservoir volume estimation derived by the timing, location, and focal mechanism of microseismic eventsLei Liu, WeiQi Song, XiaoHui Yang, DeShan Zhou, Lin Dong, and JianLin Hu5 January 2023 | Interpretation, Vol. 11, No. 1Fault detection using a convolutional neural network trained with point-spread function-convolution-based samplesJiankun Jing, Zhe Yan, Zheng Zhang, Hanming Gu, and Bingkai Han6 January 2023 | GEOPHYSICS, Vol. 88, No. 1High-resolution seismic faults interpretation based on adversarial neural networks with a regularization techniqueTianqi Wang and Yanfei Wang8 September 2022 | GEOPHYSICS, Vol. 87, No. 6An Intelligent Recognition Method for Low-Grade Fault Based on Attention Mechanism and Encoder–Decoder Network Structure31 October 2022 | Energies, Vol. 15, No. 21Channel connection and stimulated reservoir volume estimation derived by the timing, location, and focal mechanism of the microseismic eventsLei Liu, WeiQi Song, XiaoHui Yang, DeShan Zhou, Lin Dong, and JianLin Hu21 October 2022 | Interpretation, Vol. 0, No. jaFast and Parallel Semblance Algorithm for Detecting Faults in Large Seismic VolumesStructural Augmentation in Seismic Data for Ultra-Deep Fault Prediction29 September 2022 | Applied Sciences, Vol. 12, No. 19Fault 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 surface extraction based on computational topologyCheng Zhou, Cun Yang, Ruoshui Zhou, Xingmiao Yao, and Guangmin Hu15 August 2022Geological Reservoir Characterization of a Gas Hydrate Prospect Associated with the Hydrate-01 Stratigraphic Test Well, Alaska North Slope26 July 2022 | Energy & Fuels, Vol. 36, No. 15Simulation of tectonic stress field and prediction of tectonic fractures in shale reservoirs: A case study of the Ansai area in the Ordos Basin, ChinaYunfei Wu, Chenglin Liu, Qibiao Zang, Rizwan Sarwar Awan, Guoxiong Li, Yuping Wu, Xiya Yang, and Zhendong Lu18 May 2022 | Interpretation, Vol. 10, No. 33D fault detection: Using human reasoning to improve performance of convolutional neural networksDonglin Zhu, Lei Li, Rui Guo, Chunfeng Tao, and Shifan Zhan23 June 2022 | GEOPHYSICS, Vol. 87, No. 4Automatic geologic fault identification from seismic data using 2.5D channel attention U-netLei Lin, Zhi Zhong, Zhongxian Cai, Alexander Y. Sun, and ChengLong Li30 May 2022 | GEOPHYSICS, Vol. 87, No. 4Intelligent identification method and application of seismic faults based on a balanced classification network21 September 2022 | Applied Geophysics, Vol. 19, No. 2Strike-slip overprinting of initial co-axial shortening within the toe region of a submarine landslide and a model for basal shear surface growth: a case study from the Angoche Basin, offshore Mozambique25 November 2021 | Journal of the Geological Society, Vol. 179, No. 2Automatic fault detection on seismic images using a multiscale attention convolutional neural networkKai Gao, Lianjie Huang, Yingcai Zheng, Rongrong Lin, Hao Hu, and Trenton Cladohous23 November 2021 | GEOPHYSICS, Vol. 87, No. 1Fault Detection in Seismic Data Using Graph Attention Network29 July 2022Seismic Fault Interpretation Using 3-D Scattering Wavelet Transform CNNIEEE Geoscience and Remote Sensing Letters, Vol. 19Attention-Based 3-D Seismic Fault Segmentation Training by a Few 2-D Slice LabelsIEEE Transactions on Geoscience and Remote Sensing, Vol. 60Efficient Fault Surface Grouping in 3-D Seismic Fault DataIEEE Transactions on Geoscience and Remote Sensing, Vol. 60MD Loss: Efficient Training of 3-D Seismic Fault Segmentation Network Under Sparse Labels by Weakening Anomaly AnnotationIEEE Transactions on Geoscience and Remote Sensing, Vol. 60THE DISTINQUISHING FEATURES OF THE FAULTS IN THE PLATFORM COVER: RESULTS OF THE APPLICATION OF TECTONOPHYSICAL APPROACH TO THE STUDY OF THE TAMBEY HYDROCARBON DEPOSIT (YAMAL PENINSULAR)15 December 2021 | Geodynamics & Tectonophysics, Vol. 12, No. 4Application of Techniques of Natural Fracture Characterization for Appraisal of Tight Carbonate Reservoirs: A Case Study From Jurassic of Kuwait9 December 2021Enhancing seismic fault extraction through multiple ant tracking on cloud environmentMohamed Amrouche, Ayako Otakara, Kwangho Lee, and Misa Okada29 November 2021A case study of complex carbonate reservoir connectivity analysis, Tarim Basin, ChinaZhangwu Meng, Zandong Sun, and Guofa Li26 October 2021 | Interpretation, Vol. 9, No. 4Stochastic discrete fracture network modeling in shale reservoirs via integration of seismic attributes and petrophysical dataYongchae Cho12 July 2021 | Interpretation, Vol. 9, No. 43D seismic characterization of fractures using elastic P-to-S double beamsHao Hu, Abdulmohsen Alali, Ali Almomin, and Yingcai Zheng13 October 2021 | GEOPHYSICS, Vol. 86, No. 6Concealed-Fault Detection in Low-Amplitude Tectonic Area—An Example of Tight Sandstone Reservoirs13 October 2021 | Minerals, Vol. 11, No. 10Fault and fracture prediction of tight gas reservoir based on seismic likelihood attributeMeng Li, Taizhong Duan, and Huawei Zhao1 September 2021Enhanced ant tracking: Using a multispectral seismic attribute workflow to improve 3D fault detectionMateo Acuña-Uribe, María Camila Pico-Forero, Paul Goyes-Peñafiel, and Darwin Mateus1 July 2021 | The Leading Edge, Vol. 40, No. 7Research on fault recognition method combining 3D Res-UNet and knowledge distillation8 November 2021 | Applied Geophysics, Vol. 18, No. 2Which seismic attributes are best for subtle fault detection?Marwa Hussein, Robert R. Stewart, and Jonny Wu4 May 2021 | Interpretation, Vol. 9, No. 2Semiautomatic fault-surface generation and interpretation using topological metricsYihuai Lou, Bo Zhang, Pan Yong, Huijing Fang, Yijiang Zhang, and Danping Cao11 March 2021 | GEOPHYSICS, Vol. 86, No. 3Improving fault surface construction with inversion-based methodsZhengfa Bi and Xinming Wu4 January 2021 | GEOPHYSICS, Vol. 86, No. 1Overview of Seismic Attributes and Seismic Object Extraction21 February 2022Building realistic structure models to train convolutional neural networks for seismic structural interpretationXinming Wu, Zhicheng Geng, Yunzhi Shi, Nam Pham, Sergey Fomel, and Guillaume Caumon16 January 2020 | GEOPHYSICS, Vol. 85, No. 4Multi-Attribute Analysis Using Coherency and Ant-Tracking Techniques for Fault and Fracture Detection in La Florida Anticline, Llanos Foothills, Colombia24 April 2020 | Geosciences, Vol. 10, No. 4Characterization of natural fracture on basement reservoir using the integration of ant tracking attribute, FMI log, and resistivity log at "POME" field, Jambi sub basinFaultNet3D: Predicting Fault Probabilities, Strikes, and Dips With a Single Convolutional Neural NetworkIEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 11Building realistic structure models to train convolutional neural networks for seismic structural interpretationXinming Wu, Zhicheng Geng, Yunzhi Shi, Nam Pham, and Sergey Fomel10 August 2019Deep learning for local seismic image processing: Fault detection, structure-oriented smoothing with edge-preserving, and slope estimation by using a single convolutional neural networkXinming Wu, Luming Liang, Yunzhi Shi, Zhicheng Geng, and Sergey Fomel10 August 2019An enhanced fault-detection method based on adaptive spectral decomposition and super-resolution deep learningZhenyu Yuan, Handong Huang, Yuxin Jiang, Jinbiao Tang, and Jingjing Li7 August 2019 | Interpretation, Vol. 7, No. 3Improving seismic fault detection by super-attribute-based classificationHaibin Di, Mohammod Amir Shafiq, Zhen Wang, and Ghassan AlRegib7 August 2019 | Interpretation, Vol. 7, No. 3Characteristics of lacustrine dolomitic rock reservoir and accumulation of tight oil in the Permian Fengcheng Formation, the western slope of the Mahu Sag, Junggar Basin, NW ChinaJournal of Asian Earth Sciences, Vol. 178Semi‐automatic fault/fracture interpretation based on seismic geometry analysis13 March 2019 | Geophysical Prospecting, Vol. 67, No. 5FaultSeg3D: 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. 3Integrated deterministic and predictive discrete fracture network modeling for an Eocene carbonate reservoir, Bengal Basin, IndiaPrashant K. Dubey, Sushil Kumar, Khushboo Havelia, and Savitri Yadav2 April 2019 | The Leading Edge, Vol. 38, No. 4Image 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. 1Case Study: Integrated Multi Attribute WorkflowS.P. Kee, Deva Ghosh, and Abd Kadir11 December 2018Machine learning and learning from machinesEhsan Zabihi Naeini and Kenton Prindle4 December 2018 | The Leading Edge, Vol. 37, No. 12Tectonophysical approach to the analysis of geological and geophysical data on gas-condensate deposits with the complex platform cover9 October 2018 | Geodynamics & Tectonophysics, Vol. 9, No. 3Automatic fault interpretation with optimal surface votingXinming Wu and Sergey Fomel21 August 2018 | GEOPHYSICS, Vol. 83, No. 5Improving faults continuity for extraction by transfer learning based on synthetic dataLiyuan Xing, Victor Aarre, and Theoharis Theoharis27 August 2018Patch-level MLP classification for improved fault detectionHaibin Di, Muhammad Shafiq, and Ghassan AlRegib27 August 2018Why using CNN for seismic interpretation? An investigationHaibin Di, Zhen Wang, and Ghassan AlRegib27 August 2018Real-time seismic-image interpretation via deconvolutional neural networkHaibin Di, Zhen Wang, and Ghassan AlRegib27 August 2018Effortless discrete fracture network modeling for seismic-wave simulation using linear slip modelYongchae Cho, Richard L. Gibson, Jaejoon Lee, and Changsoo Shin27 August 2018Automatic fault interpretation using optimal surface votingXinming Wu and Sergey Fomel27 August 2018Successful leveraging of image processing and machine learning in seismic structural interpretation: A reviewZhen Wang, Haibin Di, Muhammad Amir Shafiq, Yazeed Alaudah, and Ghassan AlRegib6 June 2018 | The Leading Edge, Vol. 37, No. 6A case study on semiautomatic seismic interpretation of unconformities and faults in the southwestern Barents SeaAina J. Bugge, Stuart R. Clark, Jan E. Lie, and Jan I. Faleide6 April 2018 | Interpretation, Vol. 6, No. 2Subsurface Structure Analysis Using Computational Interpretation and Learning: A Visual Signal Processing PerspectiveIEEE Signal Processing Magazine, Vol. 35, No. 2Multiscale Fractures Characterization Based on Ant Colony Optimization and Two-Dimensional Variational Mode DecompositionIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingLook Ahead Geosteering via Real Time Integration of Logging While Drilling Measurements with Surface Seismic9 October 2017Methods to enhance seismic faults and construct fault surfacesComputers & Geosciences, Vol. 107Updated seismic geomorphological workflow applied to the Chalk GroupFlorian Smit, Frans van Buchem, Ingelise Schmidt, and Lars Stemmerik17 August 20173D seismic image processing for interpretation and subsurface modelingXinming Wu17 August 2017Seismic-fault detection based on multiattribute support vector machine analysisHaibin Di, Muhammad Amir Shafiq, and Ghassan AlRegib17 August 2017A workflow to skeletonize faults and stratigraphic featuresJie Qi, Gabriel Machado, and Kurt Marfurt7 June 2017 | GEOPHYSICS, Vol. 82, No. 4Fault visualization and identification in fault seismic attribute volumes: Implications for fault geometric characterizationAudun Libak, Behzad Alaei, and Anita Torabi8 March 2017 | Interpretation, Vol. 5, No. 2Demonstration experiment of 3D seismic survey in the Yamagawa geothermal fieldBUTSURI-TANSA(Geophysical Exploration), Vol. 70, No. 0Fracture evaluation based on the geometrical attributes of 3D seismic data in the Yamagawa geothermal fieldBUTSURI-TANSA(Geophysical Exploration), Vol. 70, No. 0Fault enhancement and visualization with 3D log-Gabor filter arrayYingwei Yu1 September 2016Interpretation II Complete Session1 September 2016Technical Program in full - Part I (ACQ 1 - PS P1)1 September 2016Automatically 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. 2Interrelationships of Marcellus Shale gas production to frac-induced microseismicity, interpreted minor faults and fractures zones, and stimulated reservoir volume, Greene County, PennsylvaniaThomas H. Wilson, Ariel K. Hart, and Pete Sullivan22 December 2015 | Interpretation, Vol. 4, No. 1Spectral similarity fault enhancementDustin T. Dewett and Alissa A. Henza24 February 2016 | Interpretation, Vol. 4, No. 1References26 September 20163D seismic image processing for faultsXinming Wu and Dave Hale19 August 2015Discrete 3D fracture network extraction and characterization from 3D seismic data — A case study at Teapot DomeManoj Vallikkat Thachaparambil26 May 2015 | Interpretation, Vol. 3, No. 3Fracture enhancement based on artificial ants and fuzzy c-means clustering (FCMC) in Dezful Embayment of Iran10 March 2015 | Journal of Geophysics and Engineering, Vol. 12, No. 2Mapping and time-lapse analysis of South Arne Chalk fault network using new developments in seismic dip computation31 July 2014 | Geological Society, London, Special Publications, Vol. 406, No. 1Simultaneous extraction of stratigraphic sequences using iterative seismic DNA detectionOddgeir Gramstad, Jan Oystein Haavig Bakke, Lars Sonneland, and Carlos Eduardo Abreu8 September 2014 | Interpretation, Vol. 2, No. 4Integration of active and passive surface seismic for understanding the variations observed during a stimulation campaignPaolo Primiero*, Gorka Garcia Leiceaga, and Joël Le Calvez5 August 2014A fault surface extraction and reconstruction method based on 3D seismic imageXingmiao Yao*, Wenjing Chen, Guangmin Hu, Wen Zou, and Zhong Li5 August 2014MS-CCSIM: Accelerating pattern-based geostatistical simulation of categorical variables using a multi-scale search in Fourier spaceComputers & Geosciences, Vol. 67Fractured shale description using isotropic seismic analysisDavid Cho, Craig Coulombe, Scott McLaren, Kevin Johnson, and Gary F. Margrave22 October 2013 | Interpretation, Vol. 1, No. 2An integrated seismic reservoir characterization workflow to predict hydrocarbon production capacity in unconventional playsGorka Garcia Leiceaga, Mark Norton, and Joël Le Calvez24 October 2013 | Interpretation, Vol. 1, No. 2Fracture detection through seismic cube orthogonal decompositionIvan Priezzhev and Aaron Scollard19 August 2013Fracture characterization using azimuthal AVO, ant-tracking, and curvatureYandong Li, Jun Wang, Hao Yang, Yan Zhang, and Xiaodong Zheng19 August 2013Integration of active and passive surface seismic for understanding the variations observed during a stimulation campaign.Paolo Primiero, Gorka Garcia Leiceaga, and Joël Le Calvez26 September 2013Fault and fracture distribution within a tight-gas sandstone reservoir: Mesaverde Group, Mamm Creek Field, Piceance Basin, Colorado, USA2 July 2013 | Petroleum Geoscience, Vol. 19, No. 3Methods 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. 51Seismic DNA – A novel visually guided search method using non-local search and multi-attribute data setsJan Øystein Haavig Bakke, Oddgeir Gramstad, and Lars Sønneland25 October 2012An automatic fault tracking approach based on ant colony algorithmYan Zhe and Gu Hanming25 October 2012Seismic surface extraction using iterative Seismic DNA detectionOddgeir Gramstad, Jan Øystein Haavig Bakke, and Lars Sønneland25 October 2012Directional guided seismic attributes and their use in assisting structural, stratigraphic and lithological interpretationAhmed A. Aqrawi, Wolfgang Weinzierl, Ralph Daber, and Trond H. Boe25 October 2012Enhancement of large faults with a windowed 3D Radon transform filterTrond Hellem Boe25 October 2012The Use of Seismic Attributes for Depth Conversion and Property Distributions, E-M Field, Offshore South Africa23 May 2011Integration of surface/subsurface techniques reveals faults in Gulf of Suez oilfields27 April 2011 | Petroleum Geoscience, Vol. 17, No. 2Improved fault segmentation using a dip guided and modified 3D Sobel filterAhmed Adnan Aqrawi and Trond Hellem Boe8 August 2011Seismic lineament analysis of a fractured limestone reservoir in the Ujung Pangkah fieldDonald Easley, Ferry Yustiana, Hess Indonesia, and Azalea Hidayat21 October 2010Flow Unit Characterization and Geo-modeling of a Structurally Complex Fluvio-deltaic Reservoir using an Integrated Approach15 March 2009Voxel Density: Enhancing attributes using a local estimate of confidenceWilliam S. Hammon14 October 2009Fault identification using competitive learningMarcos Machado and Marcelo Gattass23 November 20078. Structure-oriented Filtering and Image Enhancement21 March 2012Improved seismic identification of inter-fault damage via a linked geomechanics-seismic approach7 June 2022 | Geological Society, London, Special Publications, Vol. 289, No. 1Autotracking of faults on 3D seismic dataFitsum Admasu, Stefan Back, and Klaus Toennies12 October 2006 | GEOPHYSICS, Vol. 71, No. 6A filter to improve seismic discontinuity data for fault interpretationArthur E. Barnes26 May 2006 | GEOPHYSICS, Vol. 71, No. 3Dip, azimuth and fault from continuous phase spectrumAftab Alam and James D. Taylor6 October 2006Fault surface detection in 3-D seismic dataIEEE Transactions on Geoscience and Remote Sensing, Vol. 43, No. 9Automatic faults extraction using double hough transformPierre Jacquemin and Jean‐Laurent Mallet7 December 2005South Louisiana deep exploration opportunities and seismic interpretation approachesFangjian Xue, Kim Hemsley, and Dave Paddock7 December 2005Automatic Fault Extraction Using Artificial AntsNew paradigm of fault interpretationStein Inge Pedersen, Thorleif Skov, Arne Hetlelid, Pauline Fayemendy, Trygve Randen, and Lars Sønneland3 January 2005Segmentation of seismic data with complex stratigraphy using watershedding - preliminary results SEG Technical Program Expanded Abstracts 2002ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2002 Pages: 2478 publication data© 2002 Copyright © 2002 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 03 Jan 2005 CITATION INFORMATION Stein Inge Pedersen, Trygve Randen, Lars Sonneland, and Øyvind Steen, (2002), "Automatic fault extraction using artificial ants," SEG Technical Program Expanded Abstracts : 512-515. https://doi.org/10.1190/1.1817297 Plain-Language Summary PDF DownloadLoading ...