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The application of acoustic curve prediction based on support vector machine (SVM) to depth prediction of horizontal well drilling |
TANG He-Bing, LIU Chuan-Qi, WEI Hong, GAO Wen-Bo, SONG Jun-Ting |
Academy of Bohai Sea Petroleum,Tianjin Branch of CNOOC,Tianjin 300452,China |
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Abstract Currently,horizontal wells can't be performed in acoustic logging in the drilling process,and hence fine time-depth relationship cannot be obtained.When the horizontal wells make landing,the requirement of accuracy of depth prediction is very high.In the region of rapid lateral velocity change,the traditional methods utilize the time-depth relationship of exploratory wells to predict depth,and its accuracy can't meet the requirement.The technology of predicting acoustic logging data based on support vector machine can predict sonic curve in accordance with the existing shale content curve and resistivity curve,making synthetic seismogram and getting fine deep relationship,which could greatly improve accuracy relative to traditional methods.This method was applied to the W5H landing of Oilfield A of Bohai Sea,and the difference between the predicted depth and the actual drilling depth was only 2 m,thus ensuring horizontal wells' successfully landing,and achieving practical application effect.
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Received: 08 July 2016
Published: 10 April 2017
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