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When Is Mcmc Feasible for AVO Inversion?
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 80th EAGE Conference and Exhibition 2018, Jun 2018, Volume 2018, p.1 - 3
Abstract
Summary
I show that one is able to use a McMC method for solving the AVO problem. A linear forward model is used for inversion of synthetic datasets, each with different signal-to-noise ratios. The (mean of the) obtained posterior distribution is compared to the closed-form expression (MAP-solution), to conclude that this approach samples the right distribution. An autocorrelation analysis is applied to obtain the autocorrelation time τ for each posterior distribution. One finding is that for each S/N ratio, τ stagnates. Furthermore, an exponential relation is found between S/N and τ.
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