Reservoir description using dynamic parameterisation selection with a combined stochastic and gradient search

DOI10.1007/s10596-006-9026-6zbMath1197.76131OpenAlexW2003552711MaRDI QIDQ710647

Sam Subbey, Lars Kristian Nielsen, Trond Mannseth, Mike Christie

Publication date: 19 October 2010

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

Full work available at URL: https://doi.org/10.1007/s10596-006-9026-6

zbMATH Keywords

inverse problemtwo-phase flowreservoir simulationpermeability estimationstochastic search algorithmadaptive multiscale estimationgradient optimiserneighbourhood approximation algorithm

Mathematics Subject Classification ID

Hydrology, hydrography, oceanography (86A05) Flows in porous media; filtration; seepage (76S05) Stochastic analysis applied to problems in fluid mechanics (76M35) Computational methods for problems pertaining to geophysics (86-08)

Uses Software

• SenSrivastava

Cites Work

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• Adaptive multiscale permeability estimation
• A multiscale method for distributed parameter estimation with application to reservoir history matching
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• Extension of the parameterization choices in adaptive multiscale estimation
• Exploring multidimensional landscapes without a map
• Nonlinearity, Scale, and Sensitivity for Parameter Estimation Problems
• Monte Carlo analysis of inverse problems
• Refinement and coarsening indicators for adaptive parametrization: application to the estimation of hydraulic transmissivities
• A Multiresolution Method for Distributed Parameter Estimation

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