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Adaboost结合BP在油田水淹层识别中的应用
引用本文:尚福华,王燕,全辉,田利.Adaboost结合BP在油田水淹层识别中的应用[J].佳木斯大学学报,2006,24(1):81-83.
作者姓名:尚福华  王燕  全辉  田利
作者单位:大庆石油学院计算机应用技术学院 黑龙江大庆163318(尚福华,王燕),天然气分公司油气加工二大队 黑龙江大庆163000(全辉),八一农垦大学信息学院 黑龙江大庆163000(田利)
摘    要:油田水淹级别的判别是油田开发中特别是开发中后期比较突出的一个问题,Adaboost结合BP的方法能改善BP算法的泛化能力.本文研究了应用Adaboost结合BP神经网络的算法处理测井资料来识别水淹层的基本原理和具体实现.通过对大庆油田三口井的试油结果相对比,该方法的运用进一步提高了水淹层的识别精度,其符合率达到84%.最后对造成误差的原因进行了分析.

关 键 词:油田水淹层识别  Adaboost结合BP  泛化能力
文章编号:1008-1402(2006)01-0081-03
收稿时间:2005-09-18
修稿时间:2005年9月18日

The Application of Adaboost Combined with BP on Oil Feld Flooded Layer Identification
SHANG Fu-hua,WANG Yan,QUAN Hui,TIAN Li.The Application of Adaboost Combined with BP on Oil Feld Flooded Layer Identification[J].Journal of Jiamusi University(Natural Science Edition),2006,24(1):81-83.
Authors:SHANG Fu-hua  WANG Yan  QUAN Hui  TIAN Li
Institution:1.School of the Application of Computer,Daqing Petroleum Institute,Daqing 163318,China;2.Daqing Oil Gas Processing Company,Daqing 163000,China;3.School of Information Technology,HLJ August First Land Reciamation University,Daqing 163000,China
Abstract:The oil field flooded layer identification is specially a prominent question in the later period of the oil-field development,generation ability is improved with the method of Adaboost combining with BP.The basic principles and specific procedures to identify flooded formation with Adaboost combined with BP are discussed in detail in this paper.This method improved the precision of flooded layer identification,which can be up to 84%,through the comparison of the testing results of three oil wells in daqing oil field.Finally,the analysis of error reason is prompted.
Keywords:oil field flooded layer identification  Adaboost combined with BP  generation ability
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