一种提高储层裂缝识别准确度的方法

doi:10.13278/j.cnki.jjuese.20160343

摘要/Abstract

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 54 m，远小于常规测井的0.125 m，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。

关键词: 裂缝, 综合识别, 电成像测井, 常规测井, 火山岩储层

Abstract: 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 m which 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.

Key words: fracture, comprehensive identification, imaging logging, conventional logging, volcanic reservoir

中图分类号:

P631.8

潘保芝, 刘文斌, 张丽华, 郭宇航, 阿茹罕. 一种提高储层裂缝识别准确度的方法[J]. 吉林大学学报(地球科学版), 2018, 48(1): 298-306.

Pan Baozhi, Liu Wenbin, Zhang Lihua, Guo Yuhang, Aruhan. A Method for Improving Accuracy of Reservoir Fracture Identification[J]. Journal of Jilin University(Earth Science Edition), 2018, 48(1): 298-306.

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