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240 Intelligent Digital Oil and Gas Fields

REFERENCES
Al Marzouqi, M.A., Bahamaish, J., Al Jenaibi, H., Al Hammadi, H., Saputelli, L., 2016.
Building ADNOC’s Pillars for Process Standardization and Best Practices through an
Integrated Reservoir Management Framework. SPE-183421-MS, https://doi.org/
10.2118/183421-MS.
Allen, D.P.B., 2017. Handling Risk and Uncertainty in Portfolio Production Forecasting.
SPE-185178-PA, https://doi.org/10.2118/185178-PA.
Alpak, F.O., Vink, J.C., Gao, G., Mo, W., 2013. Techniques for Effective Simulation, Opti-
mization and Uncertainty Quantification of the In-Situ Upgrading Process. SPE-
163665-MS, https://doi.org/10.2118/163665-MS.
Alpak, F.O., Jin, L., Ramirez, B.A., 2015. Robust Optimization of Well Placement in Geo-
logically Complex Reservoirs. Paper SPE 175106-MS, https://doi.org/
10.2118/175106-MS.
Al-Shamma, B.R., Gosselin, O., King, P., Christie, M., Mendez, M., 2015. Comparative
Performance of History Matching Algorithms Using Diverse Parameterization Methods:
Application to a Synthetic and North Sea Cases. SPE-174360-MS, https://doi.org/
10.2118/174360-MS.
April, J., Glover, F., Kelly, J., Laguna, M., Erdogan, M., Mudford, B., Stegemeier, D., 2003.
Advanced Optimization Methodology in the Oil and Gas Industry: The Theory of Scat-
ter Search Techniques With Simple Examples. SPE-82009-MS, https://doi.org/
10.2118/82009-MS.
Arnold, D., Demyanov, V., Christie, M., Gopa, K., Bakay, A., 2016. Optimisation of deci-
sion making under uncertainty throughout field lifetime. J. Comput. Sci. Geosci. 95 (C),
123–139. http://dl.acm.org/citation.cfm?id¼2994918.
Arroyo, E., Devegowda, D., Datta-Gupta, A., Choe, J., 2008. Streamline-Assisted Ensemble
Kalman Filter for Rapid and Continuous Reservoir Model Updating. SPE-104255-PA,
https://doi.org/10.2118/104255-PA.
Bailey, W.J., Couet, B., Wilkinson, D., 2004. Field Optimization Tool for Maximizing Asset
Value. SPE-87026-MS, https://doi.org/10.2118/87026-MS.
Barros, E.G.D., Leeuwenburgh, O., van den Hof, P.M.J., Jansen, J.D., 2015. Value of Mul-
tiple Production Measurements and Water Front Tracking in Closed-Loop Reservoir
Management. SPE-175608-MS, https://doi.org/10.2118/175608-MS.
Basu, S., Das, A., De Paola, G., Echeverria Ciaurri, D., Droz, S.E., Llano, C.I.,
Ocheltree, K.B., Rodriguez, R., 2016. Multi-start Method for Reservoir Model Uncer-
tainty Quantification With Application to Robust Decision Making. IPTC-18711-MS,
https://doi.org/10.2523/IPTC-18711-MS.
Beckner, B.L., Song, X., 1995. Field development planning using simulated annealing—
optimal economic well scheduling and placement. In: SPE 30650.
Begg, S.H., Bratvold, R.B., Campbell, J.M., 2001. Improving Investment Decisions Using a
Stochastic Integrate Asset Model. SPE-71414-MS, https://doi.org/10.2118/77586-
MS.
Bhark, E., Rey, A., Datta-Gupta, A., Jafarpour, B., 2011. Multiscale Parameterization and
History Matching in Structured and Unstructured Grid Geometries. SPE-141764-
MS, https://doi.org/10.2118/141764-MS.
Bieker, H.P., Sluphaugg, O., Johansen, T.A., 2006. Real Time Production Optimization of
Offshore Oil and Gas Production Systems: A Technology Survey. SPE-99446-MS,
https://doi.org/10.2118/99446-MS.
Bouzarkouna, Z., Ding, D.Y., Auger, A., 2013. Partially Separated Metamodels with Evo-
lution Strategies for Well-Placement Optimization. SPE-143292-PA, https://doi.org/
10.2118/143292-PA.