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含泥质碳酸盐岩储层反演技术
引用本文:刘金连,石战结,李晨曦.含泥质碳酸盐岩储层反演技术[J].浙江大学学报(自然科学版 ),2012(2):372-376.
作者姓名:刘金连  石战结  李晨曦
作者单位:浙江大学地球科学系;中国石化油田事业部;浙江大学文化遗产研究院;中国石油大学地球科学学院
基金项目:国家“973”重点基础研究发展计划资助项目(2006CB202402);国家自然科学基金资助项目(41104072)
摘    要:为了提高含泥质碳酸盐岩储层反演的精度,提出以波阻抗数据体作为背景约束进行基质孔隙度随机反演处理的方法.该方法首先统计分析大量测井资料,获得波阻抗和基质孔隙度的关系;然后以波阻抗反演数据体作为背景约束,对基质孔隙度进行随机反演处理;最后根据基质孔隙度与波阻抗数据交会设定门槛值来划分储层与非储层.研究结果表明,储层和非储层对应的基质孔隙度数值存在明显界限,最终反演的基质孔隙度数据体清晰显示了储层和非储层的分布情况.与储层的实际厚度相比,利用该方法反演的储层厚度误差在10%以下.

关 键 词:碳酸盐岩  含泥质储层反演  随机反演  基质孔隙度

Inverse technology of clay-bearing carbonate reservoir
LIU Jin-lianl,SHI Zhan-jie,LI Chen-xi.Inverse technology of clay-bearing carbonate reservoir[J].Journal of Zhejiang University(Engineering Science),2012(2):372-376.
Authors:LIU Jin-lianl  SHI Zhan-jie  LI Chen-xi
Affiliation:1.Department of Geosciences,Zhejiang University,Hangzhou 310027,China;2.Oil field division of China Petrochemical Corporation,Beijing 100728,China;3.Research Institute of cultural heritage,Zhejiang University, Hangzhou 310058,China;4.College of Geosciences,China University of Petroleum,Beijing 102249,China)
Abstract:In order to increase inversion accuracy of clay-bearing carbonate reservoir,in this paper,we propose the matrix porosity random inversion processing method in which matrix porosity is constrained by wave impedance inversion database.Firstly,the relationship between wave impedance and matrix porosity was acquired based on a lot of statistical analysis of well-log data.Secondly,matrix porosity random inversion processing was finished by using wave impedance inversion database as constrained background.Finally,reservoir and non-reservoir were divided by setting threshold according to crosses between matrix porosity and wave impedance data.The results show that there is a clear boundary for the matrix porosity value between reservoir and non-reservoir.The reservoir and non-reservoir can be identified clearly from the final matrix porosity inversion profile.The results also show that the error is less than 10% contrasting inversion reservoir thickness by this inverse method with drilling thickness.
Keywords:carbonate  clay-bearing reservoir inversion  random inversion  matrix porosity
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