Estimating large-scale uncertainty in the context of full-waveform inversion

W. Mulder, B. Kuvshinov

Research output: Contribution to conferencePaperpeer-review

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Abstract

The uncertainty of model parameters obtained by full-waveform inversion can be determined from the hessian of the least-squares error functional. Because the hessian is generally too costly to compute and too large to be stored, a segmented representation of perturbations of the reconstructed subsurface model in the form of geological units is proposed. This enables the computation of the hessian and the related covariance matrix on a larger length scale. A synthetic 2-D isotropic elastic example illustrates how conditional and marginal uncertainties can be estimated for the properties per geological unit by themselves and in relation to other units. A discussion on how the chosen length scale affects the result is included.
Original languageEnglish
Number of pages5
DOIs
Publication statusPublished - 2023
Event84th EAGE ANNUAL Conference and Exhibition 2023 - Vienna, Austria
Duration: 5 Jun 20238 Jun 2023
Conference number: 84

Conference

Conference84th EAGE ANNUAL Conference and Exhibition 2023
Abbreviated titleEAGE 2023
Country/TerritoryAustria
CityVienna
Period5/06/238/06/23

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