DIGIRES PUBLICTIONS

Journal papers:

Geir Evensen, Analysis of iterative ensemble smoothers for solving inverse problems, Computational Geosciences, 2018, vol 22, issue 3, pp 885–908
Geir Evensen and Kjersti S. Eikrem, Conditioning reservoir models on rate data using ensemble smoothers, Computational Geosciences, 2018, vol 22, issue 5, pp 1251-1270
Luo, X., Lorentzen, R. J., Valestrand, R., & Evensen, G. (2018, October 1). Correlation-Based Adaptive Localization for Ensemble-Based History Matching: Applied To the Norne Field Case Study. Society of Petroleum Engineers. doi:10.2118/191305-PA
Geir Evensen, Accounting for model errors in iterative ensemble smoothers, Comput Geosci (2019) vol 23: 761-775.
Aanonsen, S. I., Tveit, S., & Alerini, M. (2019, March 1). Using Bayesian Model Probability for Ranking Different Prior Scenarios in Reservoir History Matching. Society of Petroleum Engineers. SPE 194505-PA
Ricardo Soares, Xiaodong Luo, and Geir Evensen, Sparse Representation of 4D Seismic Signal Based on Dictionary Learning, SPE 195599-MS
Lingya Wang and Dean S. Oliver, Efficient Optimization of Well Drilling Sequence with Learned Heuristics, SPE-195640. SPE Journal, 24 (5), 2111-2134, 2019. 195640-PA.
Patrick N. Raanes, Geir Evensen, and Andreas S. Stordal, Revising the stochastic, iterative ensemble smoother, Nonlin. Processes Geophys., 26, 325–338, 2019
Geir Evensen, Patrick N. Raanes, Andreas S. Stordal, and Joakim Hove, Efficient Implementation of an Iterative Ensemble Smoother for Data Assimilation and Reservoir History Matching, Frontiers in Applied Mathematics and Statistics, 2019.
Xiaodong Luo and Tuhin Bhakta, Automatic and adaptive localization for ensemble-based history matching, Journal of Petroleum Science and Engineering, in press, https://doi.org/10.1016/j.petrol.2019.106559
Xiaodong Luo, Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators. PLoS ONE, 2019, 14(7): e0219247. https://doi.org/10.1371/journal.pone.0219247
Ricardo Soares, Xiaodong Luo, Tuhin Bhakta, and Geir Evensen, 4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method. Journal of Petroleum Science and Engineering, 195 (2020) 107763. https://doi.org/10.1016/j.petrol.2020.107763
Ricardo Soares, Xiaodong Luo, Geir Evensen and Tuhin Bhakta, Handling Big Models and Big Data Sets in History-Matching Problems through an Adaptive Local Analysis Scheme, SPE journal, 2020, https://doi.org/10.2118/204221-PA.
Xiaodong Luo, R. J. Lorentzen, and T. Bhakta, Accounting for model errors of rock physics models in 4d seismic history matching problems: A perspective of machine learning, Journal of Petroleum Science and Engineering, 196, 107,961, 2021.