测井技术2013，Vol.37Issue(4)：380-384,388,6.
利用常规测井资料识别裂缝方法研究
On Fracture Identification with Conventional Well Logging Data
董双波 1柯式镇 2张红静 1刘春艳1
作者信息
- 1. 承德石油高等专科学校石油工程系,河北承德067060
- 2. 中国石油大学地球物理与信息工程学院,北京102249
- 折叠
摘要
Abstract
The wavelet transform,fractal dimension and the index of synthetic probability conception are adopted to draw out the weak high frequency signal of fracture from the conventional well logging data and then the signal is used to identify the fracture of formation.The important step of the index of synthetic probability method is to construct the fracture sensitive characteristic parameters.These are twenty four parameters mentioned in this article,such as the index of porosity structure,the ratio of formation factor,the ratio of the three-porosity,the ratio of difference of equivalent elastomeric module,the ratio of the difference of dual laterolog resistivity,the flexural strength,etc.The fracture identification method of wavelet transform,fractal dimension and the index of synthetic probability is written to a procedure and verified in six well logging data.The result indicates that all the three method are available.The index of synthetic probability method is more efficient and universal than the others.This research could offer a methodology and tool for oilfield to evaluate formation fracture without image well logging data.关键词
测井解释/裂缝识别/常规测井/小波变换/分形维数/加权概率指数Key words
log interpretation/ fracture identification/ conventional well logging/ wavelet transform/ fractal dimension/ index of synthetic probability分类
天文与地球科学引用本文复制引用
董双波,柯式镇,张红静,刘春艳..利用常规测井资料识别裂缝方法研究[J].测井技术,2013,37(4):380-384,388,6.
