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基质孔隙型碳酸盐岩储层预测技术及应用
引用本文:代双河,田兵,韩宇春.基质孔隙型碳酸盐岩储层预测技术及应用[J].石油地球物理勘探,2006,41(6):681-686.
作者姓名:代双河  田兵  韩宇春
作者单位:中国地质大学(北京)能源学院 东方地球物理公司研究院地质研究中心(代双河),东方地球物理公司研究院地质研究中心 河北省涿州市11-1信箱(田兵),东方地球物理公司研究院地质研究中心 072751(韩宇春)
摘    要:利用均方根振幅等常规地震属性预测以缝洞为主要储集空间的碳酸盐岩储层,是一项比较成熟的碳酸盐岩储层预测技术。但对以基质孔隙为主要储集空间的碳酸盐岩储层,至今还没有一套相应的成熟预测技术。本文以中东阿曼盆地D油田为例介绍了基质孔隙型碳酸盐岩储层的岩电特征及有利岩相分布特征,提出只有综合运用多种手段进行储层预测的方法,才能最大限度地提高预测结果的可信度;进而总结出以基质孔隙为主要储集空间的碳酸盐岩储层的地震预测方法,取得了较好的应用效果。其具体研究思路是:基于测井、录井资料确定目的层段,建立目标储层发育模式;应用地震属性分析技术和反演技术开展储层分析研究;结合地质、测井资料发现和落实圈闭,进行综合评价,指导钻探部署。

关 键 词:储层预测  碳酸盐岩储层  基质孔隙储集空间  缝洞储集空间
收稿时间:2006-03-14
修稿时间:2006-03-142006-06-29

Prediction of matrix porous carbonate reservoir and application
Dai Shuang-he,Tian Bin and Han Yu-chun. Geologic Research Center of GRI,BGP,P.O. Box -,Zhuozhou City,Hebei Province,China.Prediction of matrix porous carbonate reservoir and application[J].Oil Geophysical Prospecting,2006,41(6):681-686.
Authors:Dai Shuang-he  Tian Bin and Han Yu-chun Geologic Research Center of GRI  BGP  PO Box -  Zhuozhou City  Hebei Province    China
Affiliation:Dai Shuang-he,Tian Bin and Han Yu-chun. Geologic Research Center of GRI,BGP,P.O. Box 11-1,Zhuozhou City,Hebei Province,072751,China
Abstract:Using ordinary seismic attributes like MSR (mean-squire-root) amplitude to predict the carbonate reservoir where the fractures and caverns are major reserve space is more mature prediction technique of carbonate reservoir,but there has been not a set of relevant mature prediction technique up-to-now for the carbonate reservoir where the matrix pores are major reserve space. Taking the D oilfield in Oman basin of the Middle East as an example, the paper introduced the lithologic electric nature of matrix porous carbonate reservoir and distribution character of favorable lithofacies; presented that only the approach using multi-tools comprehensively to carry out reservoir prediction can improve in maximum the confidence level of predicted results; and further summarized the seismic prediction approach of carbonate reservoir mainly taking matrix pores as reserve space, achieved good application results. The concrete studied ideas are: determination of objective intervals based on logging data;creating development mode of objective reservoir; using seismic attributes technique and inversion to analyze and study the reservoir;discovery and determination of traps in combination with geologic and logging data, which carries out comprehensive evaluation and guides the drilling deployment.
Keywords:reservoir prediction  carbonate reservoir  matrix porous reserve space  fracture and cavern reserve space  D oilfield
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