Efficient Bayesian inversion of borehole geophysical measurements with a gradient‐based Markov chain Monte Carlo method
Author:
Affiliation:
1. Hildebrand Department of Petroleum and Geosystems Engineering The University of Texas Austin Texas USA
Publisher
Wiley
Subject
Geochemistry and Petrology,Geophysics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2478.13311
Reference46 articles.
1. A gradient‐based Markov chain Monte Carlo algorithm for elastic pre‐stack inversion with data and model space reduction
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4. Bennis M.&Torres‐Verdín C.(2019)Estimation of dynamic petrophysical properties from multiple well logs using machine learning and unsupervised rock classification. In:SPWLA 60th annual logging symposium.
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