油气田开发

碳酸盐岩缝洞型储集体特征及分类分级地质建模

  • 李阳 ,
  • 侯加根 ,
  • 李永强
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  • 1. 中国石油化工股份有限公司;
    2. 中国石油大学(北京)
李阳(1958-),男,山东东平人,博士,中国工程院院士,中国石油化工股份有限公司教授级高级工程师,主要从事油气田开发方面的研究工作。地址:北京市朝阳区朝阳门北大街22号,中国石油化工股份有限公司,邮政编码:100728。E-mail: liyang@sinopec.com.cn

网络出版日期: 2016-11-02

基金资助

国家重点基础研究发展计划(973)项目(2011CB201003);国家科技重大专项(2016ZX05014-002

Features and hierarchical modeling of carbonate fracture-cavity reservoirs

  • LI Yang ,
  • HOU Jiagen ,
  • LI Yongqiang
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  • 1. China Petroleum & Chemical Corporation, Beijing 100728, China;
    2. China University of Petroleum, Beijing 102249, China

Online published: 2016-11-02

摘要

以塔河油田奥陶系缝洞型碳酸盐岩油藏为例,以储集空间类型和规模为标准划分缝洞储集体类型,采用分类分级的方法建立缝洞型储集体三维地质模型。基于岩心、钻井、测井、地震等资料,将缝洞储集体划分为溶洞型、溶蚀孔洞型、裂缝型、基质岩块4种类型,其中溶洞型储集体又细分为大型溶洞和小型溶洞2种亚类,裂缝型储集体划分为大尺度裂缝、中尺度裂缝、小尺度裂缝及微裂缝4种亚类。大型溶洞建模采用“地震截断,模式修正”的确定性方法、小型溶洞采用以大型溶洞为训练图像的多点地质统计学随机模拟方法、溶蚀孔洞采用序贯高斯随机模拟方法、大尺度裂缝采用人工解释的确定性方法、中尺度裂缝采用蚂蚁体追踪的确定性方法、小尺度裂缝采用基于目标的随机模拟方法,微裂缝及基质岩块因储集性能差,一般不建立离散分布模型,最后将各类缝洞储集体离散分布模型进行融合,构建了典型缝洞单元离散分布模型。塔河油田6区、7区应用效果表明,分类分级建模提高了该类油藏的建模精度,有效地指导了注水开发,改善了开发效果。图9表2参28

本文引用格式

李阳 , 侯加根 , 李永强 . 碳酸盐岩缝洞型储集体特征及分类分级地质建模[J]. 石油勘探与开发, 2016 , 43(4) : 600 -606 . DOI: 10.11698/PED.2016.04.12

Abstract

Taking the Ordovician fracture-cavity carbonate reservoir of Tahe oilfield,Tarim Basin as an example, the fracture-cavity reservoir has been classified according to the type and size of reservoir space, and a 3-D geological model of fracture-cavity reservoirs was built according to their types and classes. Based on core, drilling, logging and seismic data, the fracture-cavity reservoir was divided into four types, namely cave, vug, fracture and bedrock types, in which the cave type was subdivided into two subtypes, large cave and small cave; and the fracture type was subdivided into four subtypes, large scale fracture, meso-scale fracture, small scale fracture and microfracture. The large cave model was established using deterministic method via seismic truncation and pattern modification. The small cave model was built using the method of multiple-point geostatistical simulation with large cave model as the training image. The vug model was built using sequential Gaussian simulation. The large scale fracture model was established using the deterministic method of manual interpretation, meso-scale fracture model was built using deterministic method of ant tracking, the small scale fracture model was built using stochastic object-based modeling. The micro-fracture and bedrock have no discrete distribution model established because of their poor storage quality. Then the different types of reservoir space models were merged into one model to get the discrete distribution model of typical fracture-cavity unit. The application in Tahe blocks 6 and 7 showed that this hierarchical geological modeling improved the reservoir model precision, guided the water-flooding effectively and advanced the development efficiency.

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