Quantifying Uncertainty in Downscaling of Seismic Data to High-Resolution 3-D Lithological Models

Building high-resolution lithological models using seismic data can facilitate decision-makings for earth resources development, but they are subject to considerable uncertainties due to the limited seismic resolution. Traditionally, high-resolution lithological models are built deterministically or...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing Jg. 60; S. 1 - 12
Hauptverfasser:	Yin, Zhen, Amaru, Maisha, Wang, Yizheng, Li, Lewis, Caers, Jef
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Bayes methods Bayesian analysis Boreholes Data models Earth resources High resolution High-resolution lithological modeling Learning Lithofacies Lithology Markov chain Monte Carlo (McMC) Mathematical models Monte Carlo methods Probability theory Proposals Resolution Resource development seismic Seismic data Simulation Solid modeling Statistics Three dimensional models Three-dimensional displays Turbidites Uncertainty uncertainty quantification
ISSN:	0196-2892, 1558-0644
Online-Zugang:	Volltext
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