地球物理学进展 ›› 2018, Vol. 33 ›› Issue (5): 1903-1910.doi: 10.6038/pg2018BB0436

• 应用地球物理学Ⅰ(油气及金属矿产地球物理勘探) • 上一篇    下一篇

美国MSSP致密碳酸盐岩储层预测方法研究及应用

韩磊1,2,3(),刘俊州1,王震宇1,刘振峰1,2,3,张金强1,2,3   

  1. 1. 中国石油化工股份有限公司石油勘探开发研究院,北京 100083
    2. 页岩油气富集机理与有效开发国家重点实验室,北京 100083
    3. 国家能源页岩油研发中心,北京 100083
  • 收稿日期:2017-11-22 修回日期:2018-08-22 出版日期:2018-10-20 发布日期:2019-01-11
  • 作者简介:韩磊,男,1984年生,工程师,在中石化石油勘探开发研究院从事地震资料解释与储层预测研究.
  • 基金资助:
    国家科技重大专项(2016ZX05002-005);中国石化科技部项目(JP14022)

Research and application of tight carbonate reservoir prediction in MSSP of America

HAN Lei1,2,3(),LIU Jun-zhou1,WANG Zhen-yu1,LIU Zhen-feng1,2,3,ZHANG Jin-qiang1,2,3   

  1. 1. Oil Exploration and Development Research Institute of SINOPEC, Beijing 100083,China
    2. National Key Laboratory of Corporation of Shale Oil/Gas Enrichment Mechanism and Effective Development, Beijing 100083,China
    3. National Energy R and D Center of Shale Oil, Beijing 100083, China
  • Received:2017-11-22 Revised:2018-08-22 Online:2018-10-20 Published:2019-01-11

摘要:

碳酸盐岩储层是一种重要的油气成藏类型,对于美国MSSP研究区来说,由于存在着储层致密、岩性复杂、地震内幕反射弱等特点,使用常规方法进行储层预测的难度很大.为了提高预测精度,本次研究在储层测井响应特征分析的基础上,寻找到对岩性和流体敏感的参数,然后分别使用岩相概率密度计算和流体指示因子反演等方法对储层和流体进行综合预测,同时总结出了一套适合于本研究区地质类型的储层预测方法,该方法预测的甜点有利区和后验井产能吻合率较高,取得了不错的应用效果,在海外油气田勘探实践中发挥了重要作用.

关键词: 碳酸盐岩, 储层预测, 流体指示因子

Abstract:

The carbonate reservoir is a significant hydrocarbon accumulation type. With regard to MSSP area,it is characterized by tight reservoir, complex lithology, weak internal amplitude and fluid prediction difficulties and the reservoir prediction of this area is very difficult.To solve this problem,this study,on the basis of log response of different reservoir types analysing, acquire the sensitive parameter of lithology and fluid.Then,techniques of lithofacies probability density calculate and fluid indicator factor inversion are applied to predict the carbonate reservoir. A set of method suitable for this area is put forward, which could improve the precision of reservoir prediction.

Key words: carbonate, reservoir prediction, fluid indicator factor

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