论文标题
基于Marchenko的目标全波形反演的建议
A proposal for Marchenko-based target-oriented full waveform inversion
论文作者
论文摘要
Hessian矩阵在正确解释FWI框架工作中的多个散射波场中起着重要作用。由于计算成本很高，因此Hessian矩阵的计算是不可行的。因此，由于缺乏精确的黑森矩阵，FWI在目标区域模型内产生了相关的伪像。我们在这里已经表明，基于马尔尚科的目标全波形反演可以通过降低由于倍增效应而降低非线性来补偿Hessian矩阵反转的需求。这是通过利用基于Marchenko的目标替换来消除覆盖量响应及其与目标区域的相互作用来实现的，并将更新的目标区域的响应插入整个介质的响应中。我们还表明，此方法在先前信息方面比标准梯度FWI更强大。与标准的Marchenko成像类似，所提出的方法仅需要了解直接到达时间从聚焦点到表面的直接时间和介质的反射响应。
The Hessian matrix plays an important role in correct interpretation of the multiple scattered wave fields inside the FWI frame work. Due to the high computational costs, the computation of the Hessian matrix is not feasible. Consequently, FWI produces overburden related artifacts inside the target zone model, due to the lack of the exact Hessian matrix. We have shown here that Marchenko-based target-oriented Full Waveform Inversion can compensate the need of Hessian matrix inversion by reducing the non-linearity due to overburden effects. This is achieved by exploiting Marchenko-based target replacement to remove the overburden response and its interactions with the target zone from residuals and inserting the response of the updated target zone into the response of the entire medium. We have also shown that this method is more robust with respect to prior information than the standard gradient FWI. Similarly to standard Marchenko imaging, the proposed method only requires knowledge of the direct arrival time from a focusing point to the surface and the reflection response of the medium.
