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Sazonov, E., Nugaeva, A., Dobycha, B., Muryzhnikov, A., Eydinov, D., 2015. Risks and
Uncertainties Evaluation of Reservoir Models as a Way to Optimal Decisions. SPE-
176623-MS, https://doi.org/10.2118/176623-MS.
Scheidt, C., Caers, J., 2009. Representing Spatial Uncertainty Using Distances and Kernels.
Math. Geosci. 41 (4), 397–419.
Schulze-Riegert, R., Nwakile, M., Skripkin, S., Willen, Y., 2016. Scalability and Perfor-
mance Efficiency of History Matching Workflows using MCMC and Adjoint Tech-
niques Applied to the North Sea Reservoir Case Study. SPE-180106-MS, https://
doi.org/10.2118/180106-MS.
Schulze-Riegert, R.W., Ghedan, S., 2007. In: Modern Techniques for History Matching.
Presented at the 9th International Forum on Reservoir Simulation, Abu Dhabi, UAE,
9–13 December 2007.
Schulze-Riegert, R.W., Axmann, J.K., Haase, O., Rian, D.T., You, Y.L., 2001. Optimi-
zation Methods for History Matching of Complex Reservoirs. SPE-66393-MS, https://
doi.org/10.2118/66393-MS.
Schulze-Riegert, R.W., Krosche, M., Fahimuddin, A., Ghedan, S.G., 2007. Multi-
Objective Optimization with Application to Model Validation and Uncertainty Quan-
tification. SPE-105313-MS, https://doi.org/10.2118/105313-MS.
Self, R., Atashnezhad, A., Hareland, G., 2016. Reducing Drilling Cost by Finding Optimal
Operational Parameters Using Particle Swarm Algorithm. SPE-180280-MS, https://doi.
org/10.2118/180280-MS.
Shirangi, M., Durlofsky, L.J., 2015. Closed-Loop Field Development Optimization under
Uncertainty. SPE-173219-MS, https://doi.org/10.2118/173219-MS.
Skjervheim, J.-A., Evensen, G., Hove, J., Vabø, J.G., 2011. An Ensemble Smoother for
Assisted History Matching. SPE-141929-MS, https://doi.org/10.2118/141929-MS.
Soma, R., Bakshi, A., Orangi, A., Prasanna, V.K., Da Sie, W., 2006. A Service-Oriented
Data-Composition Architecture for Integrated Asset Management. SPE-99983-MS,
https://doi.org/10.2118/99983-MS.
Strobel, M.A., Carvajal, G.A., Szatny, M., Peries, C., 2012. Enabling Agile and Responsive
Workflow Automation—A Hydraulic Fracture Design Case Study. SPE-150455-MS,
https://doi.org/10.2118/150455-MS.
Sui, W., Mengfei, Z., Wang, X., Zhang, S., 2014. Reconstruction of Shale Using Dual-
Region Strategy and Very Fast Simulated Annealing Algorithm. URTEC-1897043-
MS, https://doi.org/10.15530/URTEC-2014-1897043.
Suwartadi, E., Krogstad, S., Foss, B., 2011. Nonlinear output constraints handling for pro-
duction optimization of oil reservoirs. Comput. Geosci. 16 (2), 499–517. https://link.
springer.com/article/10.1007/s10596-011-9253-3.
Temizel, C., Purwar, S., Urrutia, K., Abdullayev, A., Md Adnan, F., Agarwal, A., et al.,
2014. Optimization of Well Placement in real-Time Production Optimization of Intel-
ligent Fields With Use of Local and Global Methods. SPE-170675-MS, https://doi.org/
10.2118/170675-MS.
Temizel, C., Purwar, S., Urrutia, K., Abdullayev, A., 2015. Real-time Optimization of
Waterflood Performance through Coupling Key Performance Indicators in Intelligent
Fields. SPE-173402-MS, https://doi.org/10.2118/173402-MS.
Toby, S., 2014. Making the Best of Integrated Asset Modeling. SPE-171161-MS, https://
doi.org/10.2118/171161-MS.
Ursini, F., Rossi, R., Pagliari, F., 2010. Forecasting Reservoir Management through Inte-
grated Asset Modeling. SPE-128165-MS, https://doi.org/10.2118/128165-MS.
van Essen, G.M., Jimenez, E.A., Przybysz-Jarnut, J.P., et al., 2012. Adjoint-based History
Matching of Production and Time-lapse Seismic Data. SPE-154375-MS, https://doi.
org/10.2118/154375-MS.