基于正演模拟的时移地震属性分析
|
摘要
时移地震是在油田开发阶段,利用不同时间测量的地震波场的差异变化来研究油气藏变化的一种有前景的方法。时移地震属性分析技术是其中的一部分,通过不同时期的地震属性的差异来预测储层的变化和剩余油的分布。本文基于正演模拟,优选出适合本工区的均方根振幅、振幅总量、振幅的峰态、振幅最小值、平均瞬时相位、反射强度斜率、能量半衰期、有效带宽及主频9种敏感属性,为准确预测剩余油的分布提供了依据,为提高储层预测精度的奠定了基础。
The time-lapse earthquake technology is the use of different time measurement of changes in seismic wave field to study the differences in changes in oil and gas reservoirs,which is a promising approach in oil field exploitation stage.Time-lapse seismic attribute analysis is a part of the technology,which intends to predict changes in the reservoir and remaining oil distribution through different periods of seismic attributes differences.Based on forward modeling,this paper optimized 9 sensitive attributes suitable for the work area: the root-mean-square amplitude,total amplitude,the amplitude of the peak state,the amplitude of the minimum,average instantaneous phase,the slope of reflection intensity,energy half-life,effective bandwidth and frequency,which provides a reference for accurately predicting the distribution of the remaining oil and lays the foundation for improving the prediction accuracy of the reservoir.
The time-lapse earthquake technology is the use of different time measurement of changes in seismic wave field to study the differences in changes in oil and gas reservoirs,which is a promising approach in oil field exploitation stage.Time-lapse seismic attribute analysis is a part of the technology,which intends to predict changes in the reservoir and remaining oil distribution through different periods of seismic attributes differences.Based on forward modeling,this paper optimized 9 sensitive attributes suitable for the work area: the root-mean-square amplitude,total amplitude,the amplitude of the peak state,the amplitude of the minimum,average instantaneous phase,the slope of reflection intensity,energy half-life,effective bandwidth and frequency,which provides a reference for accurately predicting the distribution of the remaining oil and lays the foundation for improving the prediction accuracy of the reservoir.
引文
[1]Wei He,Anderson R N,Boulanger A,et al.4-Dseismic:the fourth dimension in reservoir manage-ment[J].World Oil,1997,218:109~115.
[2]Chen X H,Mu Y G.Four-dimensional seismic res-ervoir monitoring technique and its application[J].Oil Geophysical Prospecting(in Chinese),1998,33:707~715.
[3]张国才,李清仁,朱丽波,等.时延地震方法初探[J].石油物探,2002,41(3):269~273.
[4]石玉梅,姚逢昌,谢桂生,等.时移地震监测水驱前沿的方法和应用研究[J].地球物理学报,2006,49(4):1198~1205.
[5]鲍祥生,张金森,尹成,等.时移地震平均能量属性差异与储层速度变化的关系[J].石油物探,2008,47(1):24~29.
[6]尹成,赵伟,鲍祥生,等.时移地震属性分析技术的基本框架[J].勘探地球物理进展,2006,29(6):386~393.
[2]Chen X H,Mu Y G.Four-dimensional seismic res-ervoir monitoring technique and its application[J].Oil Geophysical Prospecting(in Chinese),1998,33:707~715.
[3]张国才,李清仁,朱丽波,等.时延地震方法初探[J].石油物探,2002,41(3):269~273.
[4]石玉梅,姚逢昌,谢桂生,等.时移地震监测水驱前沿的方法和应用研究[J].地球物理学报,2006,49(4):1198~1205.
[5]鲍祥生,张金森,尹成,等.时移地震平均能量属性差异与储层速度变化的关系[J].石油物探,2008,47(1):24~29.
[6]尹成,赵伟,鲍祥生,等.时移地震属性分析技术的基本框架[J].勘探地球物理进展,2006,29(6):386~393.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心