Petro-elastic log-facies classification using the expectation-maximization algorithm and hidden Markov models

DOI10.1007/S11004-015-9604-ZzbMath1323.86049OpenAlexW787938927WikidataQ57863799 ScholiaQ57863799MaRDI QIDQ888395

David Volent Lindberg, Dario Grana

Publication date: 30 October 2015

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-015-9604-z

zbMATH Keywords

statistical methodsspatial distributionrock physicsfacies classificationpetrophysics

Mathematics Subject Classification ID

Markov processes: estimation; hidden Markov models (62M05) Geostatistics (86A32) Geological problems (86A60)

Related Items (4)

Bayesian Gaussian mixture linear inversion for geophysical inverse problems ⋮ Boolean spectral analysis in categorical reservoir modeling ⋮ Comparison of recursive neural network and Markov chain models in facies inversion ⋮ Series expansion-based genetic inversion of wireline logging data

Uses Software

• clusfind

Cites Work

• Unnamed Item
• On the convergence properties of the EM algorithm
• A Markov chain model for subsurface characterization: Theory and applications
• Estimation of geological attributes from a well log: an application of hidden Markov chains
• Finding Groups in Data
• Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
• A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains

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