Ensemble clustering for efficient robust optimization of naturally fractured reservoirs

DOI10.1007/s10596-017-9689-1zbMath1405.86022OpenAlexW2755271112MaRDI QIDQ1710311

Fahim Forouzanfar, Zhe Liu

Publication date: 22 January 2019

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

Full work available at URL: https://doi.org/10.1007/s10596-017-9689-1

zbMATH Keywords

singular value decompositionnon-negative matrix factorizationnaturally fractured reservoirhierarchical ensemble clusteringrobust reservoir optimization

Mathematics Subject Classification ID

Flows in porous media; filtration; seepage (76S05) Geostatistics (86A32) Computational methods for problems pertaining to geophysics (86-08) Potentials, prospecting (86A20)

Related Items (3)

INSIM-FT in three-dimensions with gravity ⋮ BHPSO combined with statistical net hydrocarbon thickness map for well placement optimization under uncertainty ⋮ INSIM-BHP: a physics-based data-driven reservoir model for history matching and forecasting with bottomhole pressure and production rate data under waterflooding

Uses Software

• AdaGrad

Cites Work

• Theoretical connections between optimization algorithms based on an approximate gradient
• Scenario reduction algorithms in stochastic programming
• A Stochastic Simplex Approximate Gradient (StoSAG) for optimization under uncertainty
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