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Seismic characterization of reservoirs with multiple fracture sets using velocity and attenuation anisotropy data

机译:利用速度和衰减各向异性数据对多裂隙油藏进行地震表征

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摘要

Knowledge about the spatial distribution of the fracture density and the azimuthal fracture orientation can greatly help in optimizing production from fractured reservoirs. Frequency-dependent seismic velocity and attenuation anisotropy data contain information about the fractures present in the reservoir. In this study, we use the measurements of velocity and attenuation anisotropy data corresponding to different seismic frequencies and azimuths to infer information about the multiple fracture sets present in the reservoir. We consider a reservoir model with two sets of vertical fractures characterized by unknown azimuthal fracture orientations and fracture densities. Frequency-dependent seismic velocity and attenuation anisotropy data is computed using the effective viscoelastic stiffness tensor and solving the Christoffel equation. A Bayesian inversion method is then applied to measurements of velocity and attenuation anisotropy data corresponding to different seismic frequencies and azimuth to estimate the azimuthal fracture orientations and the fracture densities, as well as their uncertainties. Our numerical examples suggest that velocity anisotropy data alone cannot recover the unknown fracture parameters. However, an improved estimation of the unknown fracture parameters can be obtained by joint inversion of velocity and attenuation anisotropy data.
机译:关于裂缝密度的空间分布和方位角裂缝方向的知识可以极大地帮助优化裂缝储层的产量。频率相关的地震速度和衰减各向异性数据包含有关储层中裂缝的信息。在这项研究中,我们使用对应于不同地震频率和方位角的速度和衰减各向异性数据的测量值来推断有关储层中多个裂缝集的信息。我们考虑具有两组垂直裂缝的油藏模型,这些裂缝的特征是未知的方位裂缝方向和裂缝密度。使用有效的粘弹性刚度张量并求解Christoffel方程,计算与频率相关的地震速度和衰减各向异性数据。然后将贝叶斯反演方法应用于与不同地震频率和方位对应的速度和衰减各向异性数据的测量,以估计方位裂缝方向和裂缝密度及其不确定性。我们的数值示例表明,仅速度各向异性数据无法恢复未知的裂缝参数。然而,可以通过速度和衰减各向异性数据的联合反演获得未知裂缝参数的改进估计。

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