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Convolved Hidden Markov Models for Well-log Inversion
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, Petroleum Geostatistics 2015, Sep 2015, cp-456-00013
- ISBN: 978-94-6282-158-3
Abstract
Bayesian inversion of convolved data from discrete profiles, for example well-log data from lithofacies well profiles, is studied and found feasible to make. The projection approximation of the likelihood model provides reliable approximate posterior models, which can be used as proposal in an independent-proposal MCMC M-H algorithm, to generate realizations of lithofacies profiles from the correct posterior model.