Amplitude variation with incidence angle (AVA) analysis is an essential tool for discriminating lithology in hydrocarbon reservoirs. Compared to traditional AVA inversion using only compressional wave (P-wave) information, joint AVA inversion using PP and PS seismic data provides better estimation of rock properties (e.g., density, P- and shear wave [S-wave] velocities). Currently, the most used AVA inversions depend on the approximations of the Zoeppritz equations (e.g., the Shuey and Aki-Richards approximations), which are not suitable for formations with strong contrast interfaces and seismic data with large incidence angles. Based on the previous derivation of the accurate Jacobian matrix, we have found that the sign of each partial derivative of reflection coefficient with respect to the P-, S-wave velocities and density changes across the interface represents a good indicator for the reflection interfaces. Accordingly, we adopt an adaptive stratified joint PP and PS AVA inversion using the accurate Jacobian matrix that can automatically obtain the layer information and can be further used as a constraint in the inversion of in-layer rock properties (density and P- and S-wave velocities). Due to the use of the exact Zoeppritz equations and accurate Jacobian matrix, this proposed inversion method is more accurate than traditional AVA inversion methods, has higher computational efficiency, and can be applied to seismic wide-angle reflection data or seismic data acquired for formations with strong contrast interfaces. The model study shows that this proposed inversion method works better than the classic Shuey and Aki-Richards approximations at estimating reflection interfaces and in-layer rock properties. It also works well in handling a part of the complex Marmousi 2 model and real seismic data.

中文翻译：

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使用精确雅可比矩阵的自适应分层联合 PP 和 PS AVA 反演

随入射角变化的幅度变化 (AVA) 分析是区分油气藏岩性的重要工具。与仅使用压缩波（P 波）信息的传统 AVA 反演相比，使用 PP 和 PS 地震数据的联合 AVA 反演可以更好地估计岩石特性（例如，密度、P 波和剪切波 [S 波] 速度）。目前，最常用的 AVA 反演依赖于 Zoeppritz 方程的近似（例如 Shuey 和 Aki-Richards 近似），这不适用于具有强对比界面的地层和大入射角的地震数据。基于前面对精确雅可比矩阵的推导，我们发现反射系数的每个偏导数相对于P-的符号，界面上的 S 波速度和密度变化代表了反射界面的良好指标。因此，我们采用自适应分层联合 PP 和 PS AVA 反演，使用精确的雅可比矩阵，可以自动获取层信息，并可以进一步用作层内岩石属性（密度和 P-和 S-）反演的约束。波速度）。由于使用了精确的Zoeppritz方程和精确的雅可比矩阵，本文提出的反演方法比传统的AVA反演方法精度更高，计算效率更高，可应用于地震广角反射数据或地层采集的地震数据。强烈对比界面。模型研究表明，在估计反射界面和层内岩石特性方面，这种提出的反演方法比经典的 Shuey 和 Aki-Richards 近似更有效。它还可以很好地处理复杂的 Marmousi 2 模型和真实地震数据的一部分。