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作 者:潘保芝[1] 刘文斌[1] 张丽华[1] 郭宇航[1] 阿茹罕[1]
机构地区:[1]吉林大学地球探测科学与技术学院,长春130026
出 处:《吉林大学学报(地球科学版)》2018年第1期298-306,共9页Journal of Jilin University:Earth Science Edition
基 金:国家自然科学基金项目(41174096);国家"十二五"重大科技专项(2011ZX05040-002)~~
摘 要:油田勘探开发中,储层裂缝的高效、准确识别一直是一个难题。常规测井裂缝识别方法方便但准确度低,电成像测井裂缝识别方法纵向分辨率高、识别准确但人工识别繁琐。为了解决常规和电成像测井裂缝识别方法各自缺点带来的问题,本文提出了一种既高效又准确的储层有效裂缝识别方法。该方法以裂缝在电成像测井上的响应特征为依据,选取裂缝层段为样本,构建常规测井裂缝综合识别因子Y1和电成像测井裂缝识别因子Y2,将两因子结合构建储层裂缝识别因子Y3。利用Y3识别裂缝,采样点间隔为0.002 54m,远小于常规测井的0.125m,比常规测井识别裂缝准确度高;自动拾取裂缝效率远高于繁琐的人工识别,比电成像测井识别裂缝省时省力。将该方法应用到王府地区火山岩储层裂缝识别中可快速准确地识别储层裂缝,准确率达到80%左右,对其他类型储层裂缝研究有一定的借鉴意义。In the exploration and development of oil field,it is always a difficult problem to accurately and efficiently identify fractures in reservoirs.The conventional well log is easy to identify the fracture but the accuracy is low.The imaging log has high resolution and high accuracy but complicated for artificial identification.In order to conquer the shortcomings of conventional and electrical imaging well log fracture identification,this paper presents an efficient and accurate method for reservoir fracture identification.The authors selected fracture samples based on the response of fractures in electric imaging log to establish conventional log comprehensive factor Y1 and imaging log factor Y2 for fracture recognition,then combined Y1 and Y2 to build reservoir fracture identification factor Y3.Y3 is used to identify fractures,which is more accurate than conventional log with the sampling interval 0.002 54 mwhich is much less than the conventional log interval 0.125 m.Compared with the electric imaging log,it can not only save time and labor but also increase the efficiency of the automatic fracture pick up.The method was applied to the identification of volcanic reservoir fractures in Wangfu area,which quickly and accurately identified the reservoir fractures,and its accuracy is about 80%.This can be a reference for the identification of other types of reservoir fractures.
关 键 词:裂缝 综合识别 电成像测井 常规测井 火山岩储层
分 类 号:P631.8[天文地球—地质矿产勘探]
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