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Article . 2021
License: CC BY NC ND
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Article . 2021
License: CC BY NC ND
Data sources: Datacite
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Automated facies classification in borehole log data

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 15 Sep 2021 English Publisher:Zenodo
Authors: Roman Beloborodov; James Gunning; Marina Pervukhina; Michael Ben Clennell; Irena Emelyanova; Juerg Hauser;

doi: 10.5281/zenodo.7687169 , 10.5281/zenodo.7687170

Automated facies classification in borehole log data

Abstract

Seismic facies inversion relies on accurate facies-specific elastic parameter models determined from borehole data. We introduce a modified Expectation Maximisation algorithm for simultaneous facies classification and fitting of rock physics models.

Open-Access Online Publication: March 01, 2023

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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