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Prestack AVO inversion based on the vectorised reflectivity method with blockiness constraint

机译:基于Vectory Arther infult方法的Prestack AVO反转

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摘要

Many oil fields in the world are continental clastic facies lake basins, which develop many thin interbedded reservoirs. Conventional AVO inversion methods based on Zoeppritz equation are not suitable for the identification and characterisation of such reservoirs. In this study, we propose a new inversion method based on the vectorised reflectivity method with blockiness constraint in order to obtain the inversion results with high accuracy and resolution. The vectorised reflectivity method can provide the 1D analytical solution of elastic wave equation, and simulate full-wave field. Therefore, it overcomes the problems caused by internal multiples, converted waves, transmission loss, and reservoir thickness in the thin interbedded reservoirs. Applications of the synthetic data and field data demonstrate that, compared with the conventional method based on Zoeppritz equation, the proposed method shows advantages in estimating the elastic parameters of the thin interbedded reservoirs. In addition, the inversion of blocky model and logging data demonstrate that the differential Laplace constraint gives higher resolution and better numerical stability than Gaussian and Cauchy constraints. The computational efficiency and high accuracy that the proposed approach provides are expected to be exploited in characterising thin interbedded reservoirs in many fields.
机译:世界上许多油田都是大陆泥炭面湖盆地,它培养了许多薄的互壁覆盖物。基于ZOEPPRITZ方程的传统AVO反转方法不适用于识别和表征这种储存器。在这项研究中,我们提出了一种基于带有阻塞约束的Vectory Reforty方法的新反演方法,以获得高精度和分辨率的反演结果。矢量化反射方法可以提供弹性波方程的1D分析解,并模拟全波场。因此,它克服了薄互覆盖器储存器中内部倍数,转换的波,传输损耗和储存器厚度引起的问题。合成数据和现场数据的应用表明,与基于Zoeppritz方程的传统方法相比,所提出的方法在估计薄互底储存器的弹性参数方面表现出优点。另外,块的模型和记录数据的反转表明,差分拉普拉斯约束提供更高的分辨率和比高斯和Cauchy约束更高的数值稳定性。所提出的方法提供的计算效率和高精度预计将利用在许多领域的薄互覆盖的储存器中被利用。

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