岩性油气藏 ›› 2016, Vol. 28 ›› Issue (5): 76–81.doi: 10.3969/j.issn.1673-8926.2016.05.009

• 油气地质 • 上一篇    下一篇

基于灰色模糊理论的页岩气储层评价——以重庆南川地区龙马溪组页岩为例

方辉煌1,2,汪吉林1,2,宫云鹏1,2,张娅婷1,2   

  1. (1.中国矿业大学 煤层气资源与成藏过程教育部重点实验室,江苏 徐州 221008;2.中国矿业大学 资源与地球科学学院,江苏 徐州 221116)
  • 出版日期:2016-09-29 发布日期:2016-09-29
  • 通讯作者: 汪吉林(1969-),男,博士后,教授,主要从事构造地质、矿井地质、页岩气地质方面的教学与研究工作。E-mail:wjl_cumt@163.com。
  • 作者简介:方辉煌(1990-),男,中国矿业大学在读硕士研究生,研究方向为构造地质学、页岩气。地址:(221008)江苏省徐州市中国矿业大学(文昌校区)。E-mail:1040751367@163.com
  • 基金资助:

    国家重点基础研究发展计划(973)项目“页岩微裂隙特征与页岩气赋存/渗流机理研究”(编号:2012CB214702)资助

Evaluation of shale gas reservoirs based on gray fuzzy theory: a case study from Longmaxi Formation in Nanchuan area, Chongqing

Fang Huihuang 1,2, Wang Jilin1,2, Gong Yunpeng 1,2, Zhang Yating 1,2   

  1. (1. Key Laboratory of CBM Resource and Reservoir Formation Process, Ministry of Education, China University of Mining and Technology, Xuzhou 221008, Jiangsu, China; 2. School of Resource and Geosciences, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China)
  • Online:2016-09-29 Published:2016-09-29

摘要:

页岩储层具有影响因素多、孔渗关系复杂、非均质性强、评价难度大等特征,为了确定页岩气储层评价参数权重的大小,以重庆南川地区龙马溪组页岩为例,运用灰色关联分析法与模糊综合评判法对页岩储层进行评价。结果显示:总有机碳含量(TOC)、镜质体反射率(Ro)、有效厚度、孔隙度、脆性矿物含量和渗透率均是影响该区页岩储层质量的主要因素,其权重分别为 0.257 9,0.133 1,0.119 1,0.149 6,0.139 2和 0.201 1。通过对各参数进行模糊数学计算得到页岩储层的综合评价因子为 0.41~0.93,并以此为依据预测了南川地区龙马溪组页岩气储层的分布规律。

关键词: 陆相页岩, 吸附特性, 影响因素, 长 7 油层组, 鄂尔多斯盆地

Abstract:

Shale reservoirs are characterized by much influencing factors, complicated relationship between porosity and permeability, as well as strong heterogeneity, so it is difficult to evaluate.  In order to determine the weight of eva?luation parameters for shale gas reservoirs, Longmaxi shale in Nanchuan area of Chongqing was taken as an example, and the gray correlation analysis method and fuzzy comprehensive evaluation method were applied to evaluate the shale reservoir quality. The result shows that the total organic carbon content (TOC), vitrinite reflectance (Ro), effective thickness, porosity, brittle mineral content and permeability are the main factors affecting the shale reservoir quality, and the weights are 0.257 9, 0.133 1, 0.119 1, 0.149 6, 0.139 2 and 0.201 1, respectively. The comprehensive evalua?tion factor of shale reservoir is 0.41?0.93 through the fuzzy mathematics calculation of each parameter. On this basis, the distribution of shale gas reservoirs of Longmaxi Formation in Nanchuan area was predicted.

Key words: nonmarine shale, adsorption features, influencing factors, Chang 7 member, Ordos Basin

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