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《Journal of Gansu Sciences》 2016-06
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Application of Crossplot and BP Neural Network Technique in the Identification of Clastic Rock

Guo Jingxing;Peng Xuehuan;Li Fei;School of Geosciences,China University of Petroleum;Research Institute of Petroleum Exploration and Development,Tarim Oilfield Company Petre China;  
The lithology of Raoyang depression Neogene Guantao group mainly is clastic rocks,the lithologic characteristic is complicated and varied of which better identification is hard to be achieved only using the logging curve,it has unfavorable influence on subsequent well logging interpretation.Targeting at this problem and based on the logging data to propose a method which first using the crossplot technique to generalize and summarize all kinds of lithologies and then using the BP neural network technique to quick identify the generalized lithologies.According to the application effect of this method in Liuxi area,the identification precision of all kinds of lithologies in the sample data base has reached over 90%and the identification precision of mudstone and siltstone have even reached 100%,it greatly improve the classification and identification precision of all kinds of lithologies only using the logging curve,it has more importantly influence in the oil and gas exploration and development process.
【Fund】: 华北油田2011年校企合作科研项目“留西留北构造带上第三系油藏沉积相研究”(HBYT-CY3-2011-JS-345)
【CateGory Index】: P618.13
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