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Prestack migration velocity analysis based on simplifi ed two-parameter moveout equation

机译:基于简化的两参数跳动方程的叠前偏移速度分析

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摘要

Stacking velocityVC2, vertical velocity ratioγ0, effective velocity ratioγef, and anisotropic parameterχef are correlated in the PS-converted-wave (PS-wave) anisotropic prestack Kirchhoff time migration (PKTM) velocity model and are thus difficult to independently determine. We extended the simplified two-parameter (stacking velocity VC2 and anisotropic parameterkef) moveout equation from stacking velocity analysis to PKTM velocity model updating and formed a new four-parameter (stacking velocityVC2, vertical velocity ratioγ0, effective velocity ratioγef, and anisotropic parameterkef) PS-wave anisotropic PKTM velocity model updating and processfl ow based on the simplifi ed two-parameter moveout equation. In the proposed method, first, the PS-wave two-parameter stacking velocity is analyzed to obtain the anisotropic PKTM initial velocity and anisotropic parameters; then, the velocity and anisotropic parameters are corrected by analyzing the residual moveout on common imaging point gathers after prestack time migration. The vertical velocity ratioγ0 of the prestack time migration velocity model is obtained with an appropriate method utilizing the P- and PS-wave stacked sections after level calibration. The initial effective velocity ratioγef is calculated using the Thomsen (1999) equation in combination with the P-wave velocity analysis; ultimately, the final velocity model of the effective velocity ratioγef is obtained by percentage scanning migration. This method simplifi es the PS-wave parameter estimation in high-quality imaging, reduces the uncertainty of multiparameter estimations, and obtains good imaging results in practice.
机译:堆叠速度VC2,垂直速度比γ0,有效速度比γef和各向异性参数χef在PS转换波(PS波)各向异性叠前基尔霍夫时间偏移(PKTM)速度模型中是相关的,因此很难独立确定。我们将简化的两参数(堆积速度VC2和各向异性parameterkef)偏移方程从堆积速度分析扩展到PKTM速度模型更新,并形成了新的四参数(堆积速度VC2,垂直速度比γ0,有效速度比γef和各向异性参数ke)PS简化的两参数跳动方程的各向异性各向异性波TMTM速度模型更新和处理。在该方法中,首先,分析PS波的两参数叠加速度,得到各向异性PKTM的初始速度和各向异性参数。然后,通过分析叠前时间偏移后共同成像点道集上的剩余时差来校正速度和各向异性参数。叠前时间偏移速度模型的垂直速度比γ0是通过水平校正后利用P波和PS波叠置部分的适当方法获得的。初始有效速度比γef是使用Thomsen(1999)方程结合P波速度分析来计算的;最终,通过百分比扫描偏移获得了有效速度比γef的最终速度模型。该方法简化了高质量成像中的PS波参数估计,减少了多参数估计的不确定性,在实践中获得了良好的成像效果。

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