Deconvolutional double-difference misfit measurements and the application for full-waveform inversion
Geophysics
2022-01-12 v1
Abstract
It is challenging for full-waveform inversion to determine geologically informative models from field data. An inaccurate wavelet can make it more complicated. We develop a novel misfit function, entitled deconvolutional double-difference misfit measurement to cancel the influence of wavelet inaccuracy on inversion results. Unlike the popular double-difference misfit measurement in which the first difference is evaluated by cross-correlation, the proposed one employs deconvolution to do this step. Numerical examples demonstrate that full-waveform inversion with the new misfit function is resilient to the wavelet inaccuracy. It can also converge to plausible local minima even from rough initial models.
Cite
@article{arxiv.2201.03926,
title = {Deconvolutional double-difference misfit measurements and the application for full-waveform inversion},
author = {Fuqiang Chen and Daniel Peter},
journal= {arXiv preprint arXiv:2201.03926},
year = {2022}
}