摘要
本文首先对电成像测井资料进行水平方向和垂直方向的电导率曲线的小波变换,然后在小波变换后的高频段寻找与裂缝对应的分解信号,再将水平方向和垂直方向的分解信号进行绝对值叠加,再转换成二值信号(即裂缝为1,非裂缝为0)成图,从而增强成像测井中的裂缝信息,为成像测井的人机交互解释中的裂缝识别提供依据。实际应用结果表明,该方法可以准确、直观地显示出裂缝,效果很好。
Imaging logging usually gives an accurate intuitive response of fractures.This paper discusses two-dimensional wavelet transform for conductivity curve of imaging logging.The conductivity curve of imaging logging is decomposed by wavelet transform,and the relationship between decomposed signals and fracture are found out.The absolute values of the decomposed horizontal and vertical signals are added and then they are re-mapped to binary(fracture is 1,and no fracture is 0) in order to enhance fracture identification in imaging logging,and provide the basis for fracture identification in the interactive interpretation.Real data examples show that this approach is rather effective.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2012年第1期173-176,188+201,共4页
Oil Geophysical Prospecting
基金
国家重大科技专项大型油气田及煤层气开发专题"复杂含油气盆地构造及其控油气作用"(2008ZX05009-001)
关键词
二维小波变换
成像测井
裂缝型储层
电导率
two-dimensional wavelet transform,imaging logging,fractured reservoir,conductivity
