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《Journal of Chongqing University of Science and Technology(Natural Sciences Edition)》 2011-05
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Application of Artificial Bee Colony Algorithm Based on Neural Network in Lithologic Identification

ZHANG Qing-feng1 ZHOU Zi-jie1 YANG Gui-kang2 ZHANG Mi-hua1 ZHU Haiyan3(1.Oilfield Developing Company of Petro China,Qinghai Oilfield Company,Dunhuang 816400; 2.Southwest Petroleum University,Chengdu 610500)  
During the drilling process,it is very important to identify formation lithology in order to select bit types,quickly establish the lithology section,discover the oil and gas layers in time,and locate the coring layer exactly.Based on the mud logging data and combining with the logging data of the drilled wells,an artificial bee colony algorithm based on BP neural network is established for lithology identification.This model was verified in Qinghai oilfield.Compared with the geological explanation of logging data,the prediction result of the model is much better than ever before and the efficiency coefficient can reach as high as about 91.35%.
【Fund】: 青海油田公司边远油田开发公司项目(QHYTBY2006-001)
【CateGory Index】: P584
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