深感应测井深度域反演算法及应用  

Inversion and Application Depth Field of Deep Investigation Induction Logging

作　　者：柴春艳[1] 钱勇先 苏建政[2] 袁英同[2] 

机构地区：[1]江汉石油学院地球物理系,湖北荆州434023 [2]中原油田分公司采油工程技术研究院,河南濮阳457001

出　　处：《江汉石油学院学报》2002年第2期42-44,共3页Journal of Jianghan Petroleum Institute

基　　金：中国石油天然气集团公司青年创新基金项目 ( 99J0 2 0 1)

摘　　要：为了克服沃尔什变换域反演的不足 ,构造了一种深度域反演算法 ,并结合信息分辨率理论 ,对两组深感应测井模型进行了反演处理。结果显示 ,该算法能有效恢复薄层 ,纵向分辨率达到了 0 2 5m ,精度较高 。In order to overcome the shortcomings of inversion in Walsh Field, a method of depth field inversion is created. A inversion processing is conducted on two sets of deep investigation induction logging models by combining the theory of information resolution (IR). The results show that the thin bed can be recovered effectively, the vertical resolution is at 0.25 m with higher accuracy. The result of formation with higher, conductivity is better than thst of the formation with lower conductivity.

关 键 词：应用 电测井 深感应测井 分辨率 深度域 反演算法 

分 类 号：P631.84[天文地球—地质矿产勘探]