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Extended probability perturbation method for calibrating stochastic reservoir models

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Publication:972664
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DOI10.1007/S11004-008-9158-4zbMath1189.86013OpenAlexW1990256482MaRDI QIDQ972664

B. E. Eshmatov

Publication date: 21 May 2010

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

Full work available at URL: https://doi.org/10.1007/s11004-008-9158-4


zbMATH Keywords

inverse problemDirac distributiongeostatistical simulationgradual deformation methodhydrodynamic datarandomization of distribution


Mathematics Subject Classification ID

Geostatistics (86A32)


Related Items (2)

Conditioning generative adversarial networks on nonlinear data for subsurface flow model calibration and uncertainty quantification ⋮ History matching of statistically anisotropic fields using the Karhunen-Loeve expansion-based global parameterization technique




Cites Work

  • Unnamed Item
  • Comparing the gradual deformation with the probability perturbation method for solving inverse problems
  • Gradual deformation and iterative calibration of sequential stochastic simulations
  • Combining knowledge from diverse sources: An alternative to traditional data independence hypotheses




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