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基于叠前地震反演参数的流体饱和度定量预测方法
引用本文:李凌高,王兆宏,甘利灯,杜文辉,戴晓峰.基于叠前地震反演参数的流体饱和度定量预测方法[J].石油物探,2009,48(2).
作者姓名:李凌高  王兆宏  甘利灯  杜文辉  戴晓峰
作者单位:1. 中国地质大学地球物理与信息技术学院,北京100083;中国石油勘探开发研究院物探技术研究所,北京100083
2. 中国石油大学,北京,102249
3. 中国石油勘探开发研究院物探技术研究所,北京,100083
基金项目:国家重点基础研究发展计划(973)项目 
摘    要:提出了一种基于测井数据和叠前地震反演参数的流体饱和度定量预测方法——孔隙体积模量法。该方法基于Gassmann方程,在假设已经对岩性进行了可靠的定性预测,并较准确地计算了砂岩的泥质含量和孔隙度的前提下,利用测井资料计算干燥岩石体积模量和孔隙体积模量,利用各种叠前反演得到的弹性参数拟合干燥岩石体积模量,建立含水饱和度与孔隙体积模量的关系式,对流体饱和度进行定量估算。利用长庆油田苏里格地区的实际地震资料对孔隙体积模量法进行了验证,结果表明,该方法能定量预测含气饱和度,且能半定量预测气层的产能。根据预测结果部署的井位经钻探获得了高产气流。

关 键 词:Gassmann方程  地震弹性参数  孔隙体积模量  流体饱和度  定量预测
收稿时间:2008-3-25
修稿时间:2008-9-5

Quantitative prediction method for fluid saturation based on pre-stack seismic inversion parameters
Li Linggao,Wang Zhaohong,Gan Lideng,Du Wenhui,Dai Xiaofeng.Quantitative prediction method for fluid saturation based on pre-stack seismic inversion parameters[J].Geophysical Prospecting For Petroleum,2009,48(2).
Authors:Li Linggao  Wang Zhaohong  Gan Lideng  Du Wenhui  Dai Xiaofeng
Affiliation:College of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China
Abstract:A new method based on well logging data and pre-stack seismic inversion parameters, which is called pore bulk modulus method, is presented to quantitatively calculate pore fluid saturation. This method is based on Gassmann equation. It is assumed that the lithology is predicted credibly and the shale content and porosity are calculated accurately as well. Then the dry rock bulk modulus and pore space modulus are calculated from well logging data. Finally, the relation equation between water saturation and pore bulk modulus is constructed by using multiple-regression scheme fitting dry rock modulus from elastic parameters obtained from various pre-stack inversion methods, to quantitatively calculate fluid saturation. Actual seismic data from SLG region of Changaing oil field is used to verify the method. The result shows that this method can be used to quantitatively predict gas saturation and to semi-quantitatively predict flow potential. High gas rate wells are successfully drilled in terms of the prediction results.
Keywords:Gassmann equation  seismic elastic parameters  pore bulk modulus
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