Abstract: As the domain of oil 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 identify the preferable well log data sets.

Key words: hard computing, soft computing, well log

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。

关键词: 硬计算, 软计算, 测井