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Integrated Asset Management and Optimization Workflows 241
Bratvold, R.B., Begg, S.H., Rasheva, S., 2010. A New Approach to Uncertainty Quantifi-
cation for Decision Making. SPE-130157-MS, https://doi.org/10.2118/130157-MS.
Bravo, C., Saputelli, L., Castro, J.A., Rios, A., Rivas, F., Aguilar-Martin, J., 2011. Automa-
tion of the Oilfield Asset via an Artificial Intelligence (AI)-Based Integrated Production
Management Architecture (IPMA). SPE-144334-MS, https://doi.org/
10.2118/144334-MS.
Brouwer, D.R., Jansen, J.D., 2002. Dynamic Optimization of Water Flooding with Smart
Wells using Optimal Control Theory. SPE-78278-MS, https://doi.org/
10.2118/78278-MS.
Brouwer, D.R., Nævdal, G., Jansen, J.D., Vefring, E.H., van Kruisdijk, C.P.J.W., 2004.
Improved Reservoir Management through Optimal Control and Continuous Model
Updating. SPE-90149-MS, https://doi.org/10.2118/90149-MS.
Carvajal, G.A., Toro, M., Szatny, M., Robinson, G., Estrada, J., 2010. Holistic Automated
Workflows for Reservoir and Production Optimization. SPE-130205-MS, https://doi.
org/10.2118/130205-MS.
Carvajal, G.A., Boisvert, I., Knabe, S., 2014. A Smartflow for SmartWells: Reactive and Pro-
active Modes. SPE-167821-MS, https://doi.org/10.2118/167821-MS.
Carvajal, G.A., Khoriakov V., Filppov, A., Maucec, M., Diaz, A., Knabe, S., 2016. Estimat-
ing Well Production Performance in Fractured Reservoir Systems. US Patent applica-
tion #20160259088.
Chen, C., Li, G., Reynolds, A.C., 2012. Robust Constrained Optimization of Short- and
Long-term Net Present Value for Closed-Loop Reservoir Management. SPE-
141314-PA, https://doi.org/10.2118/141314-PA.
Chen, C., Gao, G., Honorio, J., Gelderblom, P., Jimenez, E., Jaakkola, T., 2014. Integration
of Principal Component Analysis and Streamline Information for the History Matching
of Channelized Reservoirs. SPE-170636-MS, https://doi.org/10.2118/170636-MS.
Chen, Y., Oliver, D.S., 2013. Levenberg-Marquardt forms of the iterative ensemble
smoother for efficient history matching and uncertainty quantification. Comput. Geosci.
17 (4), 689–703.
Chen, Y., Oliver, D.S., Zhang, D., 2009. Efficient Ensemble-based Closed-Loop Produc-
tion Optimization. SPE 112873-PA, https://doi.org/10.2118/112873-MS.
Chow, C.V., Arnondin, M.C., 2000. Managing risks using integrated production models:
process description. J. Pet. Technol. (March), 54, https://doi.org/10.2118/57472-JPT.
Compan, A.L.M., Bodstein, G.C.R., Couto, P., 2016. A Relative Permeability Rock-
Typing Methodology with a Clustering Method Combined with a Heuristic Optimiza-
tion Procedure. SPE-180916-PA, https://doi.org/10.2118/180916-PA.
Cope, G., 2011. Optimizing Optimization: New software technology is revolutionizing res-
ervoir simulation. New Technology Magazine, November 2011. pp. 15–19.
Cosentino, L., 2001. Integrated Reservoir Studies. IFP Publications, Editions,TECHNIP.
Cullick, A.S., Johnson, D., Shi, G., 2006. Improved and More Rapid History Matching with
a Nonlinear Proxy and Global Optimization. SPE-101933-MS, https://doi.org/
10.2118/101933-MS.
Cullick, A.S., Heath, D., Narayanan, K., April, J., Kelly, J., 2003. Optimizing Multiple-Field
Scheduling and Production Strategy with Reduced Risk. SPE-84239-MS, https://doi.
org/10.2118/84239-MS.
Cullick, A.S., Heath, D., Narayanan, K., April, J., Kelly, J., 2004. Optimizing Multiple-Field
Scheduling and Production Strategy with Reduced Risk. SPE-88991-JPT, https://doi.
org/10.2118/88991-JPT.
Deutsch, C.V., Journel, A.G., 1994. The Application of Simulated Annealing to Stochastic
Reservoir Modeling. SPE Adv. Technol. Ser. 2 (2), 222–227.