Characterising the parameter space of a highly nonlinear inverse problem

DOI10.1080/17415970500258162zbMath1194.86022OpenAlexW1987578755WikidataQ62649394 ScholiaQ62649394MaRDI QIDQ3588275

Pedro J. Ballester, Jonathan N. Carter

Publication date: 10 September 2010

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415970500258162

zbMATH Keywords

parameter estimationuniquenessporous mediagenetic algorithmmodel appraisalpetroleum reservoir characterization

Mathematics Subject Classification ID

Flows in porous media; filtration; seepage (76S05) Inverse problems in geophysics (86A22)

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Source characterization of atmospheric releases using stochastic search and regularized gradient optimization ⋮ A hybrid assimilation scheme for characterization of three-phase flow in porous media

Cites Work

• Optimization by Simulated Annealing
• Using Bayesian statistics to capture the effects of modelling errors in inverse problems
• The role of nonlinearity in inverse problems
• Monte Carlo analysis of inverse problems
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