不同方位各向异性反演技术对比和总结

    Comparison and summary of different azimuthal anisotropy-based inversion techniques

    • 摘要: 随着“两宽一高”地震采集技术的发展, 基于方位各向异性理论的叠前P波裂缝反演技术的应用也越来越多。方位各向异性反演可以得到裂缝方位和裂缝强度, 但是不同的反演技术得到的表征裂缝强度的参数各不相同, 反演结果也常常有所差异, 因此就造成了裂缝各向异性反演结果的不唯一性, 进而造成谁才是“正确的”这种困惑和疑问。本文从Thomsen各向异性理论出发, 通过裂缝模型(Hudson薄币模型、Schoenberg线性滑动模型)之间的相互关系, 在不同的裂缝反演技术(VVAZ、Ruger近似和傅立叶级数)中建立各向异性的参数联系, 给出了不同方位各向异性裂缝反演结果的真实含义和数学表达, 并对不同反演技术与裂缝模型参数之间的联系进行了总结, 进一步深化了方位各向异性裂缝反演的研究, 为基于“两宽一高”数据开展大规模的裂缝检测奠定坚实的理论和技术基础。

       

      Abstract: The progress in seismic acquisition techniques characterized by wide azimuths, wide frequency bands, and high densities has greatly promoted the application of the prestack P-wave fracture inversion technique based on the azimuthal anisotropy theory.Azimuthal anisotropy-based inversion can yield the azimuths and intensities of fractures.However, different inversion techniques yield different parameters for fracture intensity characterization, resulting in inconsistent inversion results.Consequently, the azimuthal anisotropy-based inversion results of fractures are non-unique, leading to confusion about accurate results.Based on the Thomsen anisotropy theory, as well as the interrelationships between fracture models(the Hudson coin model and the Schoenberg linear sliding model), this study established the connections of anisotropic parameters between different fracture inversion techniques(VVAZ, Ruger's approximation, and Fourier series), presenting the real meanings and mathematical expressions of results from different azimuthal anisotropy-based fracture inversion techniques.Additionally, this study summarized the relationships of parameters between different inversion techniques and fracture models, further deepening the research on azimuthal anisotropy-based fracture inversion.This study lays solid theoretical and technical foundations for large-scale fracture detection based on the seismic data obtained using the seismic acquisition techniques featuring wide azimuths, wide frequency bands, and high densities.

       

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