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Joint AVO Inversion of PP and PS waves using Exact Zoeppritz Equation

机译:使用精确的Zoeppritz方程的PP和PS波的联合AVO反演

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Most of the current pre-stack AVO inversion mathods are based on various approximations of the equation, which have accuracy limited to seismic data with weak contrasts of parameters and limited angles. For reservoirs with strong contrast interfaces (salt domes, heavy oil fields, basalts, etc) and long offset ranges, the conventional AVO inversion based on approximations isn't suitable. For the aim of stabilizing and improving the inversion results, we can incorporate PS data. This paper makes effort to explore nonlinear joint least-squares inversion using both PP and PS reflection data. By rewriting the exact Zoeppritz equations as the function of four independent parameters, we invert the density ratio and three velocity ratios. Inversions using P-P data alone are compared to those using P-P and P-S data jointly. Our tests indicate that PP inversion can only stably invert P-velocity and density ratio, and two S-velocity ratios can't be inverted accurately. Moreover, the reflection angles needed reaches up to 65° to obtain sufficiently accurate P-velocity and density ratio by using PP seismic data alone. However, all four ratios converge to their true model values successfully if we use PP and PS data jointly and the reflection angles needed to achieve the same accuracy reduce to 35°. Considering the heavy burdens introduced by wide angle acquisition and processing, this joint inversion is of great potential for practical applications, compared with wide angle PP inversion and conventional Generalized Linear Inversion.
机译:大多数当前的叠前AVO反演注资方式是基于等式的各种近似,其具有的精度限于具有的参数和限制角度弱对比度的地震数据。对于具有强烈的对比接口(盐丘,重油字段,玄武岩等)和长偏移范围水库,基于近似的常规AVO反演是不适合的。用于稳定和改善反演结果的目的,我们可以将PS数据。本文对努力探索非线性联合最小二乘反演同时使用PP和PS反射数据。通过重写确切的Zoeppritz方程为四个独立参数的函数,我们反转密度比和三个速度比。单独使用P-P数据反转进行比较,使用P-P和P-S数据共同的那些。我们的实验表明PP反转只能稳定地转化P-速度和密度比,和两个S-速度比不能明确地进行翻转。此外,反射角需要达到高达65°通过单独使用PP的地震数据,以获得足够精确的P-速度和密度比。然而,所有四种传动比收敛到它们的真实模型值成功,如果我们使用PP和PS数据共同和角度所需要的反射来达到同样的精度减少到35°。考虑由广角采集和处理引入的沉重负担,这联合反演是对于实际应用的巨大潜力,具有广角PP反转和常规广义线性反演相比。

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