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《Well Logging Technology》 2003-06
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A Model for Automatic Fractures Identification with Acoustic Imaging Logging Based on Cellular Automata

Feng Lin, Qi Zhengjun, He Mingfeng, et al,  
This article introduces a cellular automata model to solve the problem of fractures recognition in acoustic imaging logging. Cellular automata (CA) are discrete dynamic systems whose behavior is completely specified in terms of a local relatioa A cellular automaton is perfectly suitable for execution on modern SIMD computer architectures. In acoustic logging images the fractures are darker and continuous areas. While investigating the problem of fracture recognition in logging images, we advanced a model of using cellular automata for this purpose. The Cellular automaton is a discrete model using grayscale information in images. This paper presents the results of our research in this problem, that indicates the model is simple and valid.
【CateGory Index】: P631.8
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Chinese Journal Full-text Database 1 Hits
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Chinese Journal Full-text Database 6 Hits
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5 ZOU Changchun, SHI Ge(School of Earth and Space Sciences Peking University,Beijing100871,china);AN APPROACH TO CORRECT THE ATTITUDES OF STRATUM FOR DEVIATED BOREHOLE IN IMAGING LOGGING DATA PROCESSING AND ITS APPLICATION[J];Geophysical and Geochemical Exploration;2002-06
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Chinese Journal Full-text Database 10 Hits
1 LI Xue-ying~1, LIN Jing-long~1, WEN Hui-jian~1, L Jin-ling~2 ( 1. Geoscience College, Daqing Petroleum Institute,Daqing Petroleum Institute, Daqing, Heilongjiang 163318, China; 2. Linpan Oil Recovery Plant, Shengli Oil Field Corp. Ltd.., Linyi, Shandong 251507, China );Automatic recognition of vertical fracture[J];Journal of Daqing Petroleum Institute;2004-03
2 LI Xue-ying, LIN Jing-long, WEN Hui-jian ( Geoscience college, Daqing Petroleum Institute, Daqing, Heilongjiang 163318, China );Automatic recognition of geological aperture in carbonates[J];Journal of Daqing Petroleum Institute;2005-04
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4 SUN Lu-ping1,SHOU Hao1,ZHAO Xiao-long2,LI Ping3(1.Research Institute of Petroleum Exploration & Development,Beijing 100083,China;2.Eng.Tec.Inst.,ChuanqingDrilling and Exploration Company LTD.,Xi′an,Shaanxi 710018,China;3.Changqing Division,China PetroleumLogging CO.LTD.,Xi′an,Shaanxi 710201,China);Sedimentary Facies Identification Based on FMI Imaging Logging Data[J];Well Logging Technology;2009-04
5 WU Chang-wu (Institute of Petroleum Exploration and Development, SINOPEC, Beijing 100083)GONG Fu-hua (Yangtze University, Jingzhou 434023)WEI Jian-xin, LIANG Quan-sheng (University of Petroleum, Beijing 102249)SUN Quan-yuan (Zhongyuan Oilfield Branch Company, SINOPEC, Puyang 457172);Application of Seismic Physical Forward Modeling in Palaeokarst Reservoir Study[J];Journal of Jianghan Petroleum Institute;2004-04
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Chinese Journal Full-text Database 10 Hits
1 WANG Guo xin,WANG Xu dong,XIAO Shu fang ( College of Construction Engineering, Jilin University, Changchun 130026, China);STUDY ON APPLYING BROAD SENSE RQD TO ANISOTROPY OF ROCK MASS[J];Journal of Changchun University of Science and Technology;2002-03
2 YANG Gui-jun,ZHANG Ji-xian;Research on Method of Decomposing Remote Sensing Mixed Pixel Based on Grey Correlation Theory[J];Bulletin of Surveying and Mapping;2004-10
3 LU Wei,YU xu-chu,LIU Juan,YANG Guo-peng(Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052 China);A Small Targets Detection Approach Based on Anomaly Distributing in Hyperspectral Imagery[J];Acta Geodaetica et Cartographica Sinica;2006-01
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7 Xue Jijun, CuanYing, He Zhengjia;Application of Wavelet transform to the Quantificational Interpretation of the Downhole Television Image[J];Well Logging Technology;2003-06
8 Chen Ying, Tan Maojin.;Fracture Detection and Identification Using Logging Techniques.[J];Well Logging Technology;2003-S1
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Chinese Journal Full-text Database 2 Hits
1 LI Hui1,2,WANG Yunpeng1,LI Yan2,WANG Xingfang1,2 1.Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou 510640,China;2.Computer School,South China Normal University,Guangzhou 510630,China;Unmixing of Remote Sensing Images Based on Support Vector Machines and Pairwise Coupling[J];Acta Geodaetica et Cartographica Sinica;2009-04
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