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基于波动方程的三维地震波阻抗反演

3D seismic wave impedance inversion based on the wave equation
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摘要 基于褶积模型的阻抗反演一般先做反射系数反演再做阻抗反演,很少有用波动方程直接反演阻抗的研究.鉴于波动方程类方法具有更高精度,本文提出基于波动方程的波阻抗反演方法.为保证阻抗反演模型的横向连续性,文中采用傅里叶级数展开将波阻抗模型用傅里叶系数表示,并将傅里叶系数作为反演参数;在反演过程中,设计了从低波数到高波数和划分数据组的反演策略,既可保证从背景波阻抗模型到精细波阻抗模型的反演,又可有效避免数据冗余,极大地提高了计算精度和效率.合成地震记录和实际地震数据的测试结果表明:文中方法对于“串珠”类局部边缘特征刻画明显,可为断溶型储层的刻画及早期储量评估提供数据支撑. Impedance inversion based on convolution models generally involves inversion of reflection coefficients before impedance inversion,and there are few studies that directly invert impedance using wave equations.Given that wave equation based methods have higher accuracy,this paper proposes a wave impedance inversion method based on wave equations.To ensure the lateral continuity of the impedance inversion model,Fourier series expansion is used in this paper to represent the wave impedance model using Fourier coefficients,which are used as inversion parameters;In the inversion process,an inversion strategy was designed to transition from low wave numbers to high wave numbers and to partition data groups.This not only ensures the inversion from the background wave impedance model to the fine wave impedance model,but also effectively avoids data redundancy,greatly improving computational accuracy and efficiency.The test results of synthetic seismic records and actual seismic data show that the method proposed in this paper has a significant ability to characterize the local edge features of“bead like”reservoirs,which can provide data support for the characterization and early reserve evaluation of fractured reservoirs.
作者 朱童 张如一 刘婵娟 代仕明 李京南 ZHU Tong;ZHANG RuYi;LIU ChanJuan;DAI ShiMing;LI JingNan(Sinopec Geophysical Research Institute Co.,Ltd.,Nanjing 211103,China;Sinopec Academician Workstation of Wang Yanghua,Nanjing 211103,China)
出处 《地球物理学进展》 北大核心 2025年第5期2001-2013,共13页 Progress in Geophysics
基金 国家自然科学基金项目“高精度地震导向钻井关键技术及软件”(U23B6010) 中国石化科研项目(P23137)联合资助。
关键词 波阻抗反演 傅里叶级数 全波形反演 波动方程 子波估计 Wave impedance inversion Fourier Series Full-wave Inversion Wave Equation Wavelet estimation
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