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首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Improving full-waveform inversion by wavefield reconstruction with the alternating direction method of multipliers
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Improving full-waveform inversion by wavefield reconstruction with the alternating direction method of multipliers

机译:通过乘法器的交替方向方法提高波场重建全波形反转

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Full-waveform inversion (FWI) is an iterative nonlinear wave-form matching procedure subject to wave-equation constraint. FWI is highly nonlinear when the wave-equation constraint is enforced at each iteration. To mitigate nonlinearity, wavefield-reconstruction inversion (WRI) expands the search space by relaxing the wave-equation constraint with a penalty method. The pitfall of this approach resides in the tuning of the penalty parameter because increasing values should be used to foster data fitting during early iterations while progressively enforcing the wave-equation constraint during late iterations. However, large values of the penalty parameter lead to ill-conditioned problems. Here, this tuning issue is solved by replacing the penalty method by an augmented Lagrangian method equipped with operator splitting (iteratively refined WRI [IR-WRI]). It is shown that IR-WRI is similar to a penalty method in which data and sources are updated at each iteration by the running sum of the data and source residuals of previous iterations. Moreover, the alternating direction strategy exploits the bilinearity of the wave-equation constraint to linearize the subsurface model estimation around the reconstructed wavefield. Accordingly, the original nonlinear FWI is decomposed into a sequence of two linear subproblems, the optimization variable of one subproblem being passed as a passive variable for the next subproblem. The convergence of WRI and IR-WRI is first compared with a simple transmission experiment, which lies in the linear regime of FWI. Under the same conditions, IR-WRI converges to a more accurate minimizer with a smaller number of iterations than WRI. More realistic case studies performed with the Marmousi II and the BP salt models indicate the resilience of IR-WRI to cycle skipping and noise, as well as its ability to reconstruct with high-fidelity, large-contrast salt bodies and subsalt structures starting the inversion from crude initial models and a 3 Hz st
机译:全波形反转(FWI)是经受波浪方程约束的迭代非线性波形匹配程序。当在每次迭代处强制强制执行波浪方程约束时,FWI是高度非线性的。为了减轻非线性,波场重建反演(WRI)通过通过惩罚方法放松波浪方程约束来扩展搜索空间。这种方法的陷阱驻留在惩罚参数的调整中,因为应使用增加的值来促进早期迭代期间的数据拟合,同时在后期迭代期间逐步执行波浪方程约束。然而,惩罚参数的大值导致病态问题。在这里,通过装备运营商分裂的增强拉格朗日方法更换惩罚方法来解决此调整问题(迭代精制WRI [IR-WRI])。结果表明,IR-WRI类似于惩罚方法,其中通过先前迭代的数据和源残差的运行和在每次迭代时更新数据和源。此外,交替方向策略利用波浪方程约束的双线性来线性化重建波场周围的地下模型估计。因此,原始非线性FWI被分解成两个线性子项问题的序列,一个子问题的优化变量被传递为下一个子问题的被动变量。与一个简单的传输实验相比,WRI和IR-WRI的收敛性是首先与FWI的线性制度相提并论。在相同的条件下,IR-WRI会聚到更准确的最小值,具有比WRI较少的迭代次数。使用Marmousi II和BP盐模型进行的更现实的案例研究表明IR-WRI的抵御能力循环跳跃和噪音,以及重建高保真性,大对比度盐体和尺寸结构开始反转的能力从粗初始模型和3 Hz ST

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