基于常规测井资料小波多尺度分析的裂缝识别方法

Research on Crack Identification Based on Wavelet Multi-scale Analysis of Conventional Logging Data

对裂缝的正确预测、识别是裂缝性储集层勘探开发的关键。本文立足于充分利用常规测井资料,采用小波多尺度分析方法提取声波时差测井高频信号,结合自然伽马测井(GR)、中深感应测井(ILMI、LD)等常规测井资料识别出裂缝发育层段,得出的结论与电成像、声成像测井资料基本一致.本研究为无成像测井资料油井裂缝识别提供了一种新的直观有效分析方法。

The correct prediction and identification of the crack is the key of fractured reservoir exploration and development.Based on the full use of the conventional well logging signals,this paper applies wavelet multi-scale analysis to extracting high-frequency signal from sonic logging,and identifies the developing layers of cracks combined with GR,ILD and ILM,etc.The results are consistent to the conclusions of EMI and CAST.Therefore,it is proved that the research of this paper provides a new method to identify fractures more intuitively and effectively for the oil fields which lack imaging well logging data.