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Formulating the history matching problem with consistent error statistics

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Publication:2027165
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DOI10.1007/s10596-021-10032-7zbMath1460.86041OpenAlexW3134317121MaRDI QIDQ2027165

Geir Evensen

Publication date: 25 May 2021

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

Full work available at URL: https://doi.org/10.1007/s10596-021-10032-7


zbMATH Keywords

reservoir history matchingiterative ensemble smoothercorrelated measurement errorssubspace EnRML


Mathematics Subject Classification ID

Inverse problems in geophysics (86A22) Geostatistics (86A32)


Related Items (1)

An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation


Uses Software

  • EnKF


Cites Work

  • Levenberg-Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification
  • Analysis of iterative ensemble smoothers for solving inverse problems
  • Conditioning reservoir models on rate data using ensemble smoothers
  • Accounting for model errors in iterative ensemble smoothers
  • Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter
  • The ensemble Kalman filter for combined state and parameter estimation


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