流体属性敏感性分析研究
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摘要
地震资料进行流体识别是储层预测的重要研究内容,人们提出了不同的流体属性来直接指示储层流体,不同的流体属性对储层流体的敏感性不同。文章在前人研究的基础上,提出一种基于高斯分布的流体属性敏感性分析方法,定量、快速地分析了流体属性的敏感性,解决了从诸多属性优选难的问题。并利用Castagna等从世界范围内收集的25套盐水砂岩、泥岩、含气砂岩模型数据作为样本,进行流体属性敏感性分析,最后对实际数据的流体属性中的参数进行优选,取得较好效果。
Fluid discrimination based on seismic data is an important item of reservoir prediction.Different fluid attributes are used to denote reservoir fluids,they exhibit different level of sensitivity to reservoir fluids.Based on previous research,an analysis method for fluid attributes' sensitivities is proposed based on Gaussian distribu tion theory.This method can analyze the sensitivity of fluid attributes quantitatively and quickly,the optimization of fluids attributes thus becomes not so hard.Data from twenty-five sets of brine sands,shales and gas sands models collected worldwide by Castagna et al are used to do the example analysis of fluid attributes' sensitivities.The analysis s are then used to select the optimial attributes' parameters and good results are obtained.
Fluid discrimination based on seismic data is an important item of reservoir prediction.Different fluid attributes are used to denote reservoir fluids,they exhibit different level of sensitivity to reservoir fluids.Based on previous research,an analysis method for fluid attributes' sensitivities is proposed based on Gaussian distribu tion theory.This method can analyze the sensitivity of fluid attributes quantitatively and quickly,the optimization of fluids attributes thus becomes not so hard.Data from twenty-five sets of brine sands,shales and gas sands models collected worldwide by Castagna et al are used to do the example analysis of fluid attributes' sensitivities.The analysis s are then used to select the optimial attributes' parameters and good results are obtained.
引文
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[4]宁忠华,贺振华,黄德剂.基于地震资料的高灵敏度流体识别因子[J],2006,45(3):239-241.
[5]John P C,Steven W S.Comparison of AVO indicators:A modeling study.Geophysics[J],1994,59(12):18491855.
[2]Russell B H,Hedlin K,Hilterman F J,et al.Fluid property discrimination with AVO:A Biot-Gassmann perspective[J].Geophysics,2003,68(1):29-39.
[3]Connolly P.Elastic impedance[J].The Leading Edge,1999,18(4):438-453.
[4]宁忠华,贺振华,黄德剂.基于地震资料的高灵敏度流体识别因子[J],2006,45(3):239-241.
[5]John P C,Steven W S.Comparison of AVO indicators:A modeling study.Geophysics[J],1994,59(12):18491855.
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