Bibliography#

[Bib-1]

Alexandre A. Emerick and Albert C. Reynolds. Ensemble smoother with multiple data assimilation. Computers & Geosciences, 55:3–15, 2013. Ensemble Kalman filter for data assimilation. URL: https://www.sciencedirect.com/science/article/pii/S0098300412000994, doi:https://doi.org/10.1016/j.cageo.2012.03.011.

[Bib-2]

Geir Evensen. Analysis of iterative ensemble smoothers for solving inverse problems. Computational Geosciences, 22(3):885–908, 2018. URL: https://link.springer.com/article/10.1007/s10596-018-9731-y.

[Bib-3]

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, 5:47, 2019. URL: https://www.frontiersin.org/articles/10.3389/fams.2019.00047/full.

[Bib-4]

Geir Evensen. Formulating the history matching problem with consistent error statistics. Computational Geosciences, 25(3):945–970, 2021. URL: https://doi.org/10.1007/s10596-021-10032-7.

[Bib-5]

Alexandre A. Emerick and Albert C. Reynolds. History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations. Computational Geosciences, 16(3):639–659, June 2012. doi:10.1007/s10596-012-9275-5.

[Bib-6]

Gregory Gaspari and Stephen E. Cohn. Construction of correlation functions in two and three dimensions. Quarterly Journal of the Royal Meteorological Society, 125(554):723–757, 1999. URL: https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.49712555417, doi:10.1002/qj.49712555417.