Abstract
Polymer flooding is economically successful in reservoirs where the water flood mobility ratio is high, and/or the reservoir heterogeneity is adverse, because of the improved sweep resulting from mobility-controlled oil displacement. The performance of a polymer flood can be further improved if the process is dynamically controlled using updated reservoir models and by implementing a closed-loop production optimization scheme. This paper presents a feedback control framework that: assesses uncertainty in reservoir modeling and production forecasts, updates the prior uncertainty in reservoir models by integrating continuously monitored production data, and formulates optimal injection/production rates for the updated reservoir models. The value of the feedback control framework is demonstrated with a synthetic example of polymer flooding where the economic performance was maximized.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arpat BG, Caers J (2005) A multiple-scale, pattern-based approach to sequential simulation. In: Geostatistics Banff 2004, vol 1. Quantitative geology and geostatistics. Springer, Dordrecht, pp 255–264
Bishop C (2006) Pattern recognition and machine learning. Springer, New York
Brouwer DR, Nvdal R, Jansen JD, Vefring EH, van Kruijsdijk J (2004) Improved reservoir management through optimal control and continuous model updating. SPE 90149. SPE annual technical conference and exhibition, Houston, Oct 2–5
Caers J, Park K, Scheidt, C (2009) Modeling uncertainty in metric space. In: International association of mathematical geology meeting, Stanford University
Dakhlia H (1995) A simulation study of polymer flooding and surfactant flooding using horizontal wells. Ph.D. Dissertation, The University of Texas at Austin
Deutsch CV (1997) Geostatistical software library and user’s guide. Oxford University Press, New York
Jansen JD, Brouwer DR, Naevdal G, van Kruijsdiik CP (2005) Closed-loop reservoir management. First Break 23:43–48
Myers RH, Montgomery DC (2002) Response surface methodology: process and product in optimization using designed experiments. Wiley, New York
Pope GA (1980) Application of fractional flow theory to enhanced oil recovery. In: SPEJ, June 1980, pp 191–205
Sarma P, Aziz K, Durlofsky LJ (2005) Implementation of adjoint solution for optimal control of smart wells. Presented at the SPE reservoir simulation symposium, Houston
Sorbie KS (1991) Polymer-improved oil recovery. CRC Press, Boca Raton
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Srinivasan, S., Mantilla, C. (2012). Uncertainty Quantification and Feedback Control Using a Model Selection Approach Applied to a Polymer Flooding Process. In: Abrahamsen, P., Hauge, R., Kolbjørnsen, O. (eds) Geostatistics Oslo 2012. Quantitative Geology and Geostatistics, vol 17. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4153-9_16
Download citation
DOI: https://doi.org/10.1007/978-94-007-4153-9_16
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-4152-2
Online ISBN: 978-94-007-4153-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)