西南石油大学学报(自然科学版)

• 地质勘探 • 上一篇    下一篇

塔南凹陷复杂岩性低渗透储层测井岩性识别

张宪国1 *,张涛2,林承焰1,于景锋3   

  1. 1. 中国石油大学(华东)地球科学与技术学院,山东青岛266580
    2. 山东科技大学地球科学与工程学院,山东青岛266590
    3. 中国石油新疆油田公司勘探开发研究院,新疆克拉玛依834000
  • 出版日期:2015-02-01 发布日期:2015-02-01
  • 通讯作者: 张宪国,E-mail:zhangxianguo@upc.edu.cn
  • 基金资助:

    国家自然科学基金项目(41202092);国家重大科技专项(2011ZX05009–003);中国博士后科学基金(2012M0521366)。

Lithology Recognition with Well Logs in Complex Lithologic Low
Permeability Reservoirs in Ta′nan Depression

Zhang Xianguo1*, Zhang Tao2, Lin Chengyan1, Yu Jingfeng3   

  1. 1. School of Geosciences,China University of Petroleum(Huadong),Qingdao,Shangdong,266580,China
    2. College of Earth Science and Engineering,Shandong University of Science and Technology,Qingdao,Shangdong,266590,China
    3. Exploration and Development Research Institute,Xinjiang Oilfield Company,CNPC,Karamay,Xinjiang 834000,China
  • Online:2015-02-01 Published:2015-02-01

摘要:

岩性识别是复杂岩性低渗透油藏高效开发中的关键地质难题,以塔南凹陷白垩系为例,探索了复杂岩性地层
的测井岩性识别方法。研究区白垩系正常陆源碎屑和火山碎屑物质同时沉积,铜钵庙组发育凝灰质砂砾岩、凝灰质砂
岩、沉凝灰岩、凝灰岩、砂岩、砾岩和泥岩7 种岩性类型,岩性复杂,储层物性差,岩性与电性对比度低。在不同岩性地
层测井响应特征研究的基础上,选择4 种测井曲线进行岩性综合解释,采用Fisher 判别方法达到减小同类岩性地层测
井响应差异,并增大不同岩性测井响应差异的目的,建立了研究区7 类岩性的判别函数,实现了非取芯井的测井岩性
识别,识别正确率达到98.1%,解决了复杂岩性低渗透储层中的测井岩性识别难题,为油藏开发提供了技术支持。

关键词: Fisher 判别, 复杂岩性, 低渗透储层, 岩性识别, 测井

Abstract:

Lithology recognition is the key geological problem in the exploitation of complex lithology low permeability
reservoir. This study takes Cretaceous in Ta′nan Depression as an example to explore well logging lithology recognition method
of complex lithology reservoir. Normal terrigenous clastic debris and volcanic debris deposited together in Cretaceous in Ta′nan
Depression. Tuffaceous glutenite,tuffaceous sandstone,sedimentary tuff,volcanic tuff,sandstone,conglomerate and mudstone
deposited in Tongbomiao Formation in Cretaceous. It has a very complex lithology and bad petrophysics,typical of low
lithology- electric property contrast. Based on the study of well logging characteristics among strata of different lithologies,
four types of well logs are chosen in comprehensive lithology interpretation. Fisher discriminant analysis is used to diminish
well log differences of the same type of strata and magnify well log differences of different type of strata. Discriminant functions
for the seven lithology types of the study area are built to realize well log lithology recognition of wells without drilling cores.
The lithology recognition validity is as high as 98.1%. The lithology recognition method built in this study resolves the problem
of lithology recognition with well logs in complex lithology low permeability reservoirs and provides technical support for
reservoir development.

Key words: Fisher discriminant analysis, complex lithology, low permeability reservoir, lithology recognition, well logging