摘要
随着油气勘探领域的不断扩大,测井解释面临的研究对象也越来越复杂,传统的单一基于硬计算或软计算的方法在测井解释中面临严格挑战。提出软计算与硬计算融合的4种模式。运用软计算与硬计算融合的分离模式对某油田Oilsk81、Oilsk83、Oilsk85三口井进行含油气性模式识别,比较结果表明,在这个油区运用软计算方法对含油气性进行模式识别优于硬计算,并且可以识别出较好的测井数据集。
As the ldomain ofoil and gas exploitation expends quickly, the study objects of well log interpretation become more and more complex. This paper proposes four patters of the fusion of soft computing and hard computing. It uses separate pattern of the fusion of soft computing and hard computing in identifying oil-bearing formation based on data of Oilsk81, Oilsk83, Oilsk85. The identified result is proved that soft computing is prior to hard computing in identifying oil-bearing formation in this oilfield, at the same time it can idontiFx, th ~9~~n1~1 11 1
出处
《计算机工程与应用》
CSCD
2012年第32期229-235,共7页
Computer Engineering and Applications
基金
国家自然科学基金(No.71103163
No.71103164)
教育部人文社会科学研究青年基金(No.10YJC790071)
中央高校基本科研业务费专项资金资助(No.CUG090113
No.CUG110411
No.G2012002A)
构造与油气资源教育部重点实验室开放课题项目(No.TPR-2011-11)
关键词
硬计算
软计算
测井
hard computing
soft computing
well log
