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天然气地球科学

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广义ΔLgR技术预测陆相深层烃源岩有机碳含量方法及其应用

胡慧婷，苏瑞，刘超，孟令威   

  1. 1.东北石油大学地球科学学院，黑龙江 大庆 163318;2.东北石油大学非常规油气成藏与开发省部共建国家重点实验室，黑龙江 大庆 163318；
    3.中国石油大庆油田有限责任公司勘探开发研究院，黑龙江 大庆163712；
    4.中国石油吉林油田公司乾安采油厂地质所，吉林 松原 138000
  • 收稿日期:2015-04-19 修回日期:2015-12-18 出版日期:2016-01-10 发布日期:2016-01-10
  • 作者简介:胡慧婷（1983-），女，辽宁营口人，副教授，博士，主要从事地球物理资料解释及非常规油气地质研究. E-mail:hht-214@163.com.
  • 基金资助:

    中国博士后科学基金面上项目（编号：2014M561324）；教育部重点实验室开放性课题（编号：NEPU-EOR-2014-008）联合资助.

The method and application of using generalized-ΔLgR technology to predict the organic carbon content of continental deep source rocks

Hu Hui-ting，Su Rui，Liu Chao，Meng Ling-wei   

  1. 1.College of Geosciences,Northeast Petroleum University,Daqing 163318，China;2.Accumulation and Development
    of Unconventional Oil and Gas,State Key Laboratory Cultivation Base Jointly-constructed by Heilongjiang Province and
    the Ministry of Science and Technology,Northeast Petroleum University,Daqing 163318,China;
    3.Exploration and Development Research Institute of Daqing Oilfield Co.Ltd.，Daqing 163712， China;
    4.Geology Institute of Qian’an Oil Production Plant of Jilin Oilfield，Songyuan 138000， China
  • Received:2015-04-19 Revised:2015-12-18 Online:2016-01-10 Published:2016-01-10

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摘要：

受强压实作用和较高的导电组分影响，陆相深层烃源岩在孔隙度和电阻率曲线上响应微弱，利用传统ΔLgR技术预测有机碳含量效果很差。针对这一问题，在保留ΔLgR技术具有削弱孔隙度干扰优势的基础上，利用对深层烃源岩响应相对敏感的自然伽马曲线替代传统模型中的成熟度参数，建立了利用自然伽马、声波时差和电阻率测井曲线预测有机碳含量的广义ΔLgR技术，并将其应用于松辽盆地徐家围子断陷深层沙河子组源岩有机碳含量预测。结果表明：广义ΔLgR技术预测得到的徐家围子断陷深层沙河子组烃源岩有机碳含量更符合其实测有机碳的变化趋势，有机碳预测误差比传统方法预测误差平均降低了25.3%。表明广义ΔLgR技术用于预测陆相深层强压实烃源岩有机碳是可行的。

关键词: 测井, 有机碳, 深层烃源岩, 沙河子组, 徐家围子断陷

Abstract:

Since strong compaction and higher conductive component may cause a weak response of continental source rocks on porosity and resistivity curve,using traditional ΔLgR technology to predict the content of organic carbon will have a poor effect.Aimed at this problem,on the basis of continuing the advantages of porosity interference in ΔLgR technology,using natural gamma curve which is more sensitive to deep source rocks instead of the maturity parameters in traditional model,we developed the generalized-ΔLgR technology which employs natural gamma,AC acoustic and resistivity logging curves to predict the content of organic carbon.Furthermore,the generalized-ΔLgR technique was applied to Shahezi Formation of Xujiaweizi Fault Depression.The results show that it can provide a more reliable TOC  profile,and the TOC predicting error was reduced by 25.3% compared to the conventional ΔLgR technique.It indicates that the generalized ΔLgR provides a new TOC  predicting method for continental source rocks with deep burial depth and strong compaction.

Key words: Well logging, TOC, Deeply buried source rocks, Shahezi Formation, Xujiaweizi Fault Depression

中图分类号: 

  • TE132.1+4

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