Noise-robust time-domain multi-scale full waveform inversion using convolved data
AssigneeSaudi Arabian Oil Company
InventorsYoung Seo Kim, Jewoo Yoo, Hussain J. sALIM
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AssigneeSaudi Arabian Oil Company
InventorsYoung Seo Kim, Jewoo Yoo, Hussain J. sALIM
Estimating the term…
Systems and methods for noise-robust time-domain multi-scale full waveform inversion using convolved data are disclosed. The methods include obtaining, using a seismic acquisition system, an observed seismic dataset pertaining to a subsurface region of interest; obtaining, using a seismic processor, a seismic velocity model; and iteratively, using the seismic processor, until a stopping criterion is met: selecting a wavelet with a frequency parameter, wherein the frequency parameter increases with each iteration, forming a convolved seismic dataset based on a convolution of the wavelet with the observed seismic dataset, and updating, using a full waveform inversion, the seismic velocity model based, at least in part, on the convolved seismic dataset. The methods further include forming a seismic image of the subsurface region of interest using the updated seismic velocity model.
A method, comprising:
A system, comprising:
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