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

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.