石油学报 ›› 2011, Vol. 32 ›› Issue (3): 484-488.DOI: 10.7623/syxb201103017

• 油田开发 • 上一篇    下一篇

页岩气测井解释和岩心测试技术——以四川盆地页岩气勘探开发为例

吴庆红 1,2  李晓波 3  刘洪林 3  陈  霞 4   

  1. 1中国地质大学能源学院  北京  100083; 2中国石油煤层气有限责任公司  北京  100076; 3中国石油勘探开发研究院廊坊分院  河北廊坊  065007; 4中国石油华北油田分公司综合一处  河北廊坊  065007
  • 收稿日期:2010-10-18 修回日期:2010-12-09 出版日期:2011-05-25 发布日期:2011-07-19
  • 通讯作者: 吴庆红
  • 作者简介:吴庆红,女,1968年9月生,1991年7月毕业于西南石油学院,现在中国石油煤层气有限责任公司工作,中国地质大学(北京)能源学院在读博士,主要从事非常规油气勘探开发方面的研究工作。
  • 基金资助:

    国家科技重大专项(2008ZX05018) 资助。

Log interpretations and the application of core testing technology in the shale-gas:Taking the exploration and development of the Sichuan Basin as an example

WU Qinghong 1,2  LI Xiaobo 3  LIU Honglin 3  CHEN Xia 4   

  • Received:2010-10-18 Revised:2010-12-09 Online:2011-05-25 Published:2011-07-19

摘要:

利用页岩气专用测井技术对页岩气评价井进行了储层参数和气源参数的研究,并利用岩心测试技术对测井结果进行验证及校正,以更准确地反映储层物性参数。其中对四川盆地页岩气评价井的页岩有利层段进行了有利储层段划分以及硅质、脆性矿物、黄铁矿、含气量和TOC的测试。由于测井结果具有地域性差异,借助页岩岩心资料对上述参数进行了验证并对部分参数进行了校正,为合理开发页岩气提供了研究手段。

关键词: 岩心测试, 测井技术, 储层段, 硅质含量, 含气量测试

Abstract:

The present paper investigated source and reservoir parameters of shale-gas evaluation wells by using professional logging techniques of the shale gas,and the result of logging was verified or calibrated by core testing technology so as to more accurately reflect physical-property parameters of reservoirs. The paper introduced the application of key logging techniques to appraising favorable intervals of shales from some shale-gas evaluation wells in the Sichuan Basin, which included division of favorable intervals of a reservoir,silica-content testing,contents of fragile minerals,pyrite testing,gas-content testing and TOC testing. All of the parameters mentioned above were verified and some of them were calibrated by using core data of shales because of the regional difference of well logging results. The present study provided the rational development of the shale gas with a research approach.

Key words: core testing, logging technology, reservoir section, silica content, gas-content testing