Scale and Process Dependent Model Errors in Seismic History Matching
Oil & Gas Science and Technology - Rev. IFP, 62 2 (2007) 123-135
Published online: 2007-06-14
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Innovative Approach Based on Data Projection onto Ensemble Subspace for Improving Simultaneous Assimilation of Production and 4D Seismic Data
Célio Maschio, Alessandra Davolio and Denis José SchiozerSPE Journal 1 (2026)
https://doi.org/10.2118/232787-PA
Substituting petro-elastic model with a new proxy to assimilate time-lapse seismic data considering model errors
Shahram Danaei, Gilson M. Silva Neto, Denis J. Schiozer and Alessandra DavolioJournal of Petroleum Science and Engineering 210 109970 (2022)
https://doi.org/10.1016/j.petrol.2021.109970
4D seismic history matching
Dean S. Oliver, Kristian Fossum, Tuhin Bhakta, Ivar Sandø, Geir Nævdal and Rolf Johan LorentzenJournal of Petroleum Science and Engineering 207 109119 (2021)
https://doi.org/10.1016/j.petrol.2021.109119
Accounting for model errors of rock physics models in 4D seismic history matching problems: A perspective of machine learning
Xiaodong Luo, Rolf J. Lorentzen and Tuhin BhaktaJournal of Petroleum Science and Engineering 196 107961 (2021)
https://doi.org/10.1016/j.petrol.2020.107961
Assimilating time-lapse seismic data in the presence of significant spatially correlated model errors
Gilson M. Silva Neto, Alessandra Davolio and Denis J. SchiozerJournal of Petroleum Science and Engineering 207 109127 (2021)
https://doi.org/10.1016/j.petrol.2021.109127
(2020)
https://doi.org/10.2118/200761-MS
3D seismic data assimilation to reduce uncertainties in reservoir simulation considering model errors
Gilson M. Silva Neto, Alessandra Davolio and Denis J. SchiozerJournal of Petroleum Science and Engineering 189 106967 (2020)
https://doi.org/10.1016/j.petrol.2020.106967
Stochastic inversion for soil hydraulic parameters in the presence of model error: An example involving ground-penetrating radar monitoring of infiltration
Corinna Köpke, James Irving and Delphine RoubinetJournal of Hydrology 569 829 (2019)
https://doi.org/10.1016/j.jhydrol.2018.12.016
(2019)
https://doi.org/10.2118/196678-MS
Accounting for model error in Bayesian solutions to hydrogeophysical inverse problems using a local basis approach
Corinna Köpke, James Irving and Ahmed H. ElsheikhAdvances in Water Resources 116 195 (2018)
https://doi.org/10.1016/j.advwatres.2017.11.013
(2018)
https://doi.org/10.4043/28401-MS
Faster Convergence in Seismic History Matching by Dividing and Conquering the Unknowns
F.. Sedighi and K.D.. D. StephenSPE Journal 15 (04) 1077 (2010)
https://doi.org/10.2118/121210-PA
(2009)
https://doi.org/10.2118/121210-MS
Faster Seismic History Matching in a United Kingdom Continental Shelf Reservoir
Karl D. Stephen, Asghar Shams and Colin MacBethSPE Reservoir Evaluation & Engineering 12 (04) 586 (2009)
https://doi.org/10.2118/107147-PA
Reducing Reservoir Prediction Uncertainty by Updating a Stochastic Model Using Seismic History Matching
Karl D. Stephen and Colin MacBethSPE Reservoir Evaluation & Engineering 11 (06) 991 (2008)
https://doi.org/10.2118/100295-PA