基于粗糙集和灰色关联的低电阻率油层评价

Evaluation of Low-resistivity Oil Zones Based on Rough Set and Grey Relevance

常规的测井解释方法不能有效识别低电阻率油层。利用低电阻率油层的测井响应特征,结合地质和测试资料,采用粗糙集理论和灰色系统结合的方法,对储层含油性的判别属性进行约简,剔除冗余信息,将约简后的属性作为灰色系统的输入变量,利用灰色关联法对某油田的18口井进行了低电阻率油层识别,处理了一些原来被解释为水层而实际上是低电阻率含油的井段,取得了明显的地质效果。

Low-resistivity oil zones can not be effectively identified by conventional log interpretation methods. Based on the log response features of low-resistivity oil zones and geological and testing data, the rough-set theory and grey system are used to reduce the attributes of oil-bearing reservoir at first and eliminate the redundancy. And then residual attributes after reduction are acted as the input variables of grey system. Oil-bearing zones of 18 wells are identified with grey relevance method. The method has been used in identifying some low-resistivity zone, oil-bearing intervals being interpreted as water bearing zones, and obvious interpretation results are achieved.