文章摘要
黄梦婷,高斐,栾凯伦,施赵南,周卓.涪陵页岩储层裂缝识别方法研究[J].矿产勘查,2024,15(5):853-860
涪陵页岩储层裂缝识别方法研究
Method study on fracture identification in the Fuling shale reservoir
投稿时间:2023-02-11  修订日期:2024-03-27
DOI:10.20008/j.kckc.202405017
中文关键词: 页岩  裂缝性储层  岩石力学  模糊数学  综合指数
英文关键词: shale  fractured reservoir  rock mechanics  fuzzy mathematics  composite index
基金项目:本文受企业创新发展联合基金集成项目“海相深层油气富集机理与关键工程技术基础研究”(U19B6003)资助。
作者单位邮编
黄梦婷 油气钻采工程湖北省重点实验室(长江大学)湖北 武汉 430100
长江大学石油工程学院湖北 武汉 430100 
430100
高斐* 油气钻采工程湖北省重点实验室(长江大学)湖北 武汉 430100
长江大学石油工程学院湖北 武汉 430100 
430100
栾凯伦 油气钻采工程湖北省重点实验室(长江大学)湖北 武汉 430100
长江大学石油工程学院湖北 武汉 430100 
430100
施赵南 油气钻采工程湖北省重点实验室(长江大学)湖北 武汉 430100
长江大学石油工程学院湖北 武汉 430100 
430100
周卓 江汉油田分公司石油工程技术研究院湖北 武汉 430035 430035
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中文摘要:
      裂缝与页岩储层的成藏、油气产出和后期的压裂改造密切相关,裂缝的准确识别一直是其研究重点。常规测井对页岩储层的裂缝识别精度低,且没有形成定量的识别指标。本文以四川盆地涪陵页岩五峰组为目的层,以测井资料为基础,从岩石力学角度出发,构建了裂缝发育的常规评价系数;进一步引入模糊数学方法,将多个裂缝发育的常规评价系数有机结合,建立了五峰组裂缝发育评价的综合指标。研究显示涪陵平桥区块五峰组裂缝识别综合指数临界值为0.5,小于该值时五峰组裂缝发育程度相对较高,且该值越小,地层裂缝越发育。对比验证岩心资料以及电成像测井资料,结果表明该方法能够较准确地对涪陵页岩的裂缝进行识别且精度较高,满足工程的需要。
英文摘要:
      Fractures are closely related to the formation, oil and gas production, and later fracturing transformation of shale reservoirs. Accurate identification of fractures has always been a research focus. Conventional logging has low accuracy in identifying fractures in shale reservoirs, and no quantitative identification criteria have been established. Based on logging data and from the perspective of rock mechanics, this paper aims to construct conventional evaluation coefficients for fracture development, with the target layer being the Wufeng Formation of the Fuling shale in the Sichuan Basin. Furthermore, fuzzy mathematical methods are introduced to organically combine multiple conventional evaluation coefficients for fracture development and establish a comprehensive index for evaluating fracture development in the Wufeng Formation. The study shows that the critical value of the comprehensive index for fracture identification in the Wufeng Formation in the Pingqiao area of Fuling is 0.5. When the value is less than this, the degree of fracture development in the Wufeng Formation is relatively high, and the smaller the value, the more developed the geological fractures. Compared with core data and electric imaging logging data, the results show that this method can accurately identify fractures in the Fuling shale with high precision, meeting engineering needs.
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