横向测井资料的孔隙度测井解释方法研究  

Method for Porosity Logging Interpretation with Lateral Logging Data

作　　者：叶义平[1] 盛云霞[1] 冯丽萍[1] 周金燕[1] 曾广青[1] 

机构地区：[1]新疆油田分公司,新疆克拉玛依834000

出　　处：《石油天然气学报》2005年第3期348-350,共3页Journal of Oil and Gas Technology

摘　　要：就测井而言,油田老井挖潜的难点之一在于横向测井资料的孔隙度解释。针对上世纪60年代投产的肯基亚克油田,提出用神经网络方法和自然电位法解释横向测井资料,计算地层孔隙度。经实际处理肯基亚克油田50口多井的横向测井资料,应用效果良好,说明提出的方法为油田老井挖潜提供了较好的孔隙度解决方案。In the oilfields, one of the difficulties in taking the potential of old wells is the porosity interpretation of lateral logging data. In consideration of the situation in Kengeyacal Oilfield which was put into production in the 60s of 20^(th) century. It is proposed that the methods of neural networks and spontaneous potential are used to interpret the lateral logging data and calculate the reservoir porosity. The data process for lateral data of 50 wells or more in Kengeyacal Oilfield indicates that the effect of application is perfect, the proposed method can be used for providing better solution of porosity in taking the potential of old oilfields.

关 键 词：横向测井 神经网络法 自然电位法 孔隙度 

分 类 号：P631.81[天文地球—地质矿产勘探]