Petro-Elastic Log-Facies Classification Using the Expectation–Maximization Algorithm and Hidden Mark...
Petro-Elastic Log-Facies Classification Using the Expectation–Maximization Algorithm and Hidden Markov Models
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Log-facies classification methods aim to estimate a profile of facies at the well location based on the values of rock properties measured or computed in well-log analysis. Statistical methods generally provide the most likely classification of lithological facies along the borehole by maximizing a function that describes the likelihood of a set of...
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Full title
Petro-Elastic Log-Facies Classification Using the Expectation–Maximization Algorithm and Hidden Markov Models
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TN_cdi_proquest_miscellaneous_1730068829
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1730068829
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ISSN
1874-8961
E-ISSN
1874-8953
DOI
10.1007/s11004-015-9604-z
