摘要
近年来,多元统计方法的应用在石油地质领域逐渐受到重视并且取得了良好的效果。由于石油天然气资源有限,油页岩作为一种非常规能源越来越受到人们的重视,但由于沉积环境的不同,油页岩在不同的地区会有不同的测井响应类型和强度特征,常会造成地质工作者对油页岩层的误判从而提高了油气勘探的成本。基于多元分析Fisher判别准则建立了鄂尔多斯盆地FX地区的油页岩判别模版,模版采用研究区油页岩的声波时差、自然伽马、电阻率测井资料3个指标作为判别因素,利用方差分析的思想计算出判别系数并建立相应的研究区油页岩的识别方程。实测数据分析表明,该方法在研究区油页岩识别上具有良好的实用性和可操作性。
In recent years,the application of the multivariate statistic analysis methods has been increasingly popular and has already made great contributions to the petroleum geology.Because of the limited volume of oil and gas resources,the whole world nowadays is striving to find out alternatives for them.Consequently,the oil shale,as a kind of unconventional resource,seems to be a good choice.However,its logging response and intensity often vary with the different semimetal environments,which once it is misjudged it will enhance the exploration cost.This study establishes the equation for oil shale identification of the researching area based on the Fisher discriminant fundamental principles by adopting such three parameters as AC,GR and ILD.Through verification of testing data,it is proved that this method has good practicability and operability.
出处
《长江大学学报（自科版）（中旬）》
CAS
2014年第5期16-20,4,共5页
Journal of Yangtze University(Nature Science Edition)
关键词
FISHER判别
油页岩
测井资料
泥岩
凝灰岩
Fisher discriminant analytical method
oil shale
logging data
mudstone
volcanic tuff
