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Practical Methods For Model Uncertainty Quantification In Geophysical Inverse Problems
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, EAGE Conference on Reservoir Geoscience, Dec 2018, Volume 2018, p.1 - 5
Abstract
Summary
Geophysical inverse problems are non-unique. Through regularization and the use of a priori information we can derive stable and geologically reasonable inversion models. Providing an analysis of the model uncertainty is necessary for the critical task of separating inversion artefacts from robust geological features. In this work we explore the utility of “most-squares” analysis extended to nonlinear problems for quantifying uncertainty of models obtained by standard linearized iterative least squares methods, using 1D and 2D magnetotelluric examples to demonstrate its effectiveness.
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