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Application of the finite-difference contrast-source inversion algorithm to seismic full-waveform data

机译:差分差分源反演算法在地震全波形数据中的应用

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摘要

We have applied the finite-difference contrast-source inversion (FDCSI) method to seismic full-waveform inversion problems. The FDCSI method is an iterative nonlinear inversion algorithm. However, unlike the nonlinear conjugate gradient method and the Gauss-Newton method, FDCSI does not solve any full forward problem explicitly in each iterative step of the inversion process. This feature makes the method very efficient in solving large-scale computational problems. It is shown that FDCSI, with a significant lower computation cost, can produce inversion results comparable in quality to those produced by the Gauss-Newton method and better than those produced by the nonlinear conjugate gradient method. Another attractive feature of the FDCSI method is that it is capable of employing an inhomogeneous background medium without any extra or special effort. This feature is useful when dealing with time-lapse inversion problems where the objective is to reconstruct changes between the baseline and the monitor model. By using the baseline model as the background medium in crosswell seismic monitoring problems, high quality time-lapse inversion results are obtained.
机译:我们已将有限差分对比源反演(FDCSI)方法应用于地震全波形反演问题。 FDCSI方法是一种迭代非线性反演算法。但是,与非线性共轭梯度法和高斯-牛顿法不同,FDCSI不能在反演过程的每个迭代步骤中明确解决任何正向问题。此功能使该方法在解决大规模计算问题时非常有效。结果表明,FDCSI具有显着较低的计算成本,可以产生质量与高斯-牛顿法产生的结果相当的反演结果,并且比非线性共轭梯度法产生的结果更好。 FDCSI方法的另一个吸引人的特点是,它能够使用不均匀的背景介质而无需任何额外或特殊的努力。当处理延时反演问题时,此功能很有用,该问题的目的是重建基线和监控器模型之间的变化。通过将基线模型用作井间地震监测问题的背景介质,可以获得高质量的时移反演结果。

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