摘要
火成岩岩石在结构上和矿物成分上都比较复杂,火成岩岩性的精细识别一直是近年来石油系统不断深入研究的课题,本文采用新疆油田K92井区和DX地区资料做分析,以岩心、测井等资料为基础数据,建立岩心—测井数据库,然后采用BP神经网络技术进了研究和实践,为火成岩岩性识别提供技术思路。
Igneous rocks in the structure and mineral composition are more complex,precise lithology identification of igneous rocks has been a continued deeply study subject in the petroleum system in recent years,this paper use actual data in Ke92 and DiXi area of Xinjiang Oilfield to establish core-log database, based on the data of core and logging data,research to identify igneous rock lithology with the method of BP neural network,has provided technical support for igneous rock identification.
出处
《内蒙古石油化工》
CAS
2011年第2期91-93,共3页
Inner Mongolia Petrochemical Industry
关键词
火成岩
岩性识别
测井方法
BP神经网络
Igneous rock
Lithology identification
Logging methods
BP neural network
