A flow-based pattern recognition algorithm for rapid quantification of geologic uncertainty

DOI10.1007/S10596-009-9175-5zbMath1198.86011OpenAlexW2010752441MaRDI QIDQ601227

Mark D. Barton, Jef Caers, Faruk O. Alpak

Publication date: 3 November 2010

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

Full work available at URL: https://doi.org/10.1007/s10596-009-9175-5

zbMATH Keywords

pattern recognitionuncertainty quantificationchannelized turbidite reservoirsreservoir forecastingstreamline simulation

Mathematics Subject Classification ID

Potentials, prospecting (86A20)

Related Items (2)

A multi-resolution workflow to generate high-resolution models constrained to dynamic data ⋮ Uncertainty quantification in numerical simulation of particle-laden flows

Uses Software

• Matlab
• Petrel
• STPRTool

Cites Work

• Representing spatial uncertainty using distances and kernels
• Modern multidimensional scaling. Theory and applications.
• On a connection between kernel PCA and metric multidimensional scaling

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