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基于地质统计学反演的碳酸盐岩孔缝洞预测研究

孙炜 王彦春 李玉凤 王大全 徐伟 韩磊

现代地质2012,Vol.26Issue(6):1258-1264,7.
现代地质2012,Vol.26Issue(6):1258-1264,7.

基于地质统计学反演的碳酸盐岩孔缝洞预测研究

Fractures and Solution Pore Prediction in Carbonate Reservoirs Based on Geo-statistics Inversion

孙炜 1王彦春 1李玉凤 2王大全 3徐伟 1韩磊4

作者信息

  • 1. 中国地质大学地球物理信息技术学院,北京100083
  • 2. 中国石化胜利油田物探研究院,山东东营257022
  • 3. 中国石化集团西南石油局云南物探公司,云南昆明650233
  • 4. 中国石化石油勘探开发研究院,北京100083
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摘要

Abstract

Fractures and solution pores can greatly improve the physical properties of carbonate reservoirs, therefore, the key factor of reservoir prediction is how to predict the distribution of the fractures and solution pores with geophysical methods. This article proposed a method of fracture and solution pore prediction in carbonate reservoirs based on geo-statistics inversion. Firstly, according to the mineral composition of carbonate rocks, the fracture porosity and secondary porosity were calculated with resistivity curves and three-porosity curves. With the calculated result, geo-statistics inversion was carried out to predict the distribution of the fracture and solution pore. According to the comprehensive analysis of inversion result, the developed area of fractures and solution pores was obtained. This method was applied to the fracture and solution pore prediction in the study area. The predicted distribution characteristics of fractures and solution pores agreed well with the distribution of dolomite, and the veracity of this method was verified.

关键词

碳酸盐岩储层/孔缝洞预测/裂缝孔隙度/次生孔隙度/地质统计反演

Key words

carbonate reservoir/ fracture and solution pore prediction/ fracture porosity/ secondary porosity/geo-statistics inversion

分类

天文与地球科学

引用本文复制引用

孙炜,王彦春,李玉凤,王大全,徐伟,韩磊..基于地质统计学反演的碳酸盐岩孔缝洞预测研究[J].现代地质,2012,26(6):1258-1264,7.

现代地质

OA北大核心CSCDCSTPCD

1000-8527

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