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

作　　者：孙炜[1] 王彦春[1] 李玉凤[2] 王大全[3] 徐伟[1] 韩磊[4] 

机构地区：[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

出　　处：《现代地质》2012年第6期1258-1264,共7页Geoscience

摘　　要：提出一种基于地质统计反演的碳酸盐岩孔缝洞预测方法:首先,根据碳酸盐岩矿物成分,利用电阻率曲线和三孔隙度曲线计算单井裂缝孔隙度和次生孔隙度;然后,利用地质统计反演分别预测裂缝以及溶孔溶洞的平面分布特征;最后,通过综合分析得到碳酸岩储层的孔缝洞发育区带。将该方法应用于研究区碳酸盐岩储层的孔缝洞预测中,得到的孔缝洞分布特征与已知的白云岩分布特征较为吻合,验证了该方法的有效性。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 

分 类 号：P631[天文地球—地质矿产勘探]