Efficient uncertainty quantification of reservoir properties for parameter estimation and production forecasting

DOI10.1007/s11004-019-09810-yzbMath1429.86012OpenAlexW2948948567WikidataQ127755034 ScholiaQ127755034MaRDI QIDQ2292252

Sean A. McKenna, Albert Akhriev, David Echeverría Ciaurri, Sergiy M. Zhuk

Publication date: 3 February 2020

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

Full work available at URL: https://doi.org/10.1007/s11004-019-09810-y

zbMATH Keywords

parameter estimationuncertainty quantificationmulti-dimensional scalingpilot points

Mathematics Subject Classification ID

Geostatistics (86A32)

Uses Software

• Matlab
• L-BFGS-B
• L-BFGS
• LBFGS-B
• GSLIB
• GitHub

Cites Work

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• Representing spatial uncertainty using distances and kernels
• The theoretical links between sequential Gaussian simulation, Gaussian truncated simulation, and probability field simulation
• Two artifacts of probability field simulation
• Modern multidimensional scaling. Theory and applications.
• Remark on “algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound constrained optimization”
• Algorithm 778: L-BFGS-B
• Some distance properties of latent root and vector methods used in multivariate analysis

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