1887
Volume 61, Issue 4
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Numerical implementation of the gradient of the cost function in a gradient‐based full‐ waveform inversion (FWI) is essentially a migration operator used in wave equation migration. In FWI, minimizing different data residual norms results in different weighting strategies of data residuals at receiver locations prior to back‐propagation into the medium. In this paper, we propose different scaling methods to the receiver wavefield and compare their performances. Using time‐domain reverse‐time migration (RTM), we show that compared to conventional algorithms, this type of scaling is able to significantly suppress non‐Gaussian noise, i.e., outliers. Our tests also show that scaling by its absolute norm produces better results than other approaches.

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/content/journals/10.1111/1365-2478.12016
2013-02-27
2024-03-29
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  • Article Type: Research Article
Keyword(s): Full‐waveform inversion; L‐1 norm; Migration; Outlier; Reverse time

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