中国石油大学学报（自然科学版）2017，Vol.41Issue(1)：69-77,9.DOI:10.3969/j.issn.1673-5005.2017.01.008
用多尺度形态学方法实现成像测井电导率图像的缝洞参数表征
Characterization of reservoir fracture and vug parameters by conductivity image of FMI based on multi-scale mathematical morphology method
摘要
Abstract
Fractures and solution pores provide the main reservoir space and seepage channels for fracture-vug reservoirs.However,due to their random and complex spatial distribution,it is difficult to obtain quantitative reservoir evaluation.Based on the formation microscanner image (FMI) data which has both complete coverage and high resolution,a multi-scale mathematical morphology method was proposed to derive the fracture-vug porosity spectrum from conductivity images.In order to implement the edge detection of the conductivity anomalies that are caused by fracture and solution pore,the structure elements of different scale and configurations were selected to construct various kinds of morphological filtering operators.The edges of fractures were fitted by a polynomial interpolation function while the edges of vug were fitted by an elliptic function.Furthermore,fracture-wug parameters and porosity spectrum were derived from the fitted edges.The results show that the edge detection based on this multi-scale mathematical morphology method can recognize fractures and solution pores automatically,which provides an accurate method for fracture-vug porosity spectrum in FMI processing.关键词
微电扫描成像测井/多尺度形态学滤波/结构元素/缝洞异常边缘检测/缝洞孔隙度谱Key words
formation microscanner image logging/multi-scale morphological filtering/structure element/edge detection of fracture and vug anomalies/fracture-vug porosity spectrum分类
天文与地球科学引用本文复制引用
李曦宁,沈金松,李振苓,罗安银,马超,张伟伟,叶文军,朱忠民..用多尺度形态学方法实现成像测井电导率图像的缝洞参数表征[J].中国石油大学学报（自然科学版）,2017,41(1):69-77,9.基金项目
中国石油天然气股份有限公司重大科技专项(2014E-35) （2014E-35）
