Efficient ensemble-based closed-loop production optimization

SPE Journal

Volumn 14, Issue 4, 2009, Pages 634-645

  Chen, Yan ^a   Oliver, Dean S ^b   Zhang, Dongxiao ^c  

^a Atlas Wireline Services

^b UNIVERSITY OF OKLAHOMA   (United States)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RESERVOIR MANAGEMENT;

CLOSED LOOP OPTIMIZATION; ENSEMBLE BASED OPTIMIZATIONS; ENSEMBLE-BASED METHOD; GRADIENT INFORMATIONS; OBJECTIVE FUNCTIONS; PRODUCTION OPTIMIZATION; RESERVOIR DESCRIPTION; RESERVOIR OPERATION;

GEOLOGY;

EID: 76349115631     PISSN: 1086055X     EISSN: None     Source Type: Journal    
DOI: 10.2118/112873-PA     Document Type: Article

References (34)

1. Agbalaka, C. and Oliver, D.S. 2008. Application of the EnKF and localization to automatic history matching of facies distribution and production data. Mathematical Geosciences 40 (4): 353-374.
2. Arroyo-Negrete, E., Devegowda, D., Datta-Gupta, A., and Choe, J. 2008. Streamline-Assisted Ensemble Kaiman Filter for Rapid and Continuous Reservoir Model Updating. SPE Res Eval & Eng 11 (6): 1046-1060. SPE-104255-PA. DOI: 10.2118/104255-PA.
3. Bertino, L., Evensen, G., and Wackernagel, H. 2003. Sequential Data Assimilation Techniques in Oceanography. International Statistical Review 71 (2): 223-241. (Pubitemid 37052980)
4. Brouwer, D.R., Naevdal, G., Jansen, J.-D., Vefring, E.H., and van Kruijsdijk, C.P.J.W. 2004. Improved Reservoir Management Through Optimal Control and Continuous Model Updating. Paper SPE 90149 presented at the SPE Annual Technical Conference and Exhibition, Houston, 26-29 September. DOI: 10.2118/90149-MS.
5. Burgers, G., van Leeuwen, PJ., and Evensen, G. 1998. Analysis Scheme in the Ensemble Kaiman Filter. Monthly Weather Review 126 (6): 1719-1724. DOI: 10.1175/1520-0493(1998)126<1719:ASITEK>2.0.CO;2. (Pubitemid 128597660)
6. Chen, Y. and Zhang, D. 2006. Data assimilation for transient flow in geologic formations via ensemble Kaiman filter. Advances in Water Resources 29 (8): 1107-1122. DOI: 10.1016/j.advwatres.2005.09.007. (Pubitemid 44089284)
7. Chen, Y., Oliver, D.S., and Zhang, D. 2009. Data assimilation for nonlinear problems by ensemble Kaiman filter with reparameterization. J. Pet. Sci. Eng., 66 (1-2), 1-14.
8. Evensen, G. 1994. Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics. J. of Geophysical Research 99 (C5): 10143-10162. (Pubitemid 24404213)
9. Evensen, G. 2003. The Ensemble Kaiman Filter: Theoretical formulation and practical implementation. Ocean Dynamics 53 (4): 343-367. DOI: 10.1007/s 10236-003-0036-39
10. Foss, B.A. 1990. Optimal input design-a method for enhancing data quality. SPE Form Eval 5 (3): 303-309. SPE-13402-PA. DOI: 10.2118/18402-PA.
11. Gu, Y. 2006. History Matching Production Data Using the Ensemble Kaiman Filter. PhD dissertation, University of Oklahoma, Norman, Oklahoma (October 2006).
12. Gu, Y. and Oliver, D.S. 2005. History Matching of the PUNQ-S3 Reservoir Model Using the Ensemble Kaiman Filter. SPE J. 10 (2): 217-224. SPE-89942-PA. DOI: 10.2118/89942-PA. (Pubitemid 41009627)
13. Gu, Y. and Oliver, D.S. 2007. An Iterative Ensemble Kaiman Filter for Multiphase Fluid Flow Data Assimilation. SPE J. 12 (4): 438-446. SPE-108438-PA. DOI: 10.2118/108438-PA.
14. Hamill, TM., Whitaker, J.S., and Snyder, C. 2001. Distance-dependent filtering of background error covariance estimate in an ensemble Kaiman filter. Monthly Weather Review 129 (11): 2776-2790. DOI: 10.1175/1520-0493(2001 ) 129<2776:DDFOBE>2.0.CO;2. (Pubitemid 33079980)
15. Haugen, V, Nœvdal, G., Natvik, L.-J., Evensen, G., Berg, A.M., and Flornes, K.M. 2008. History Matching Using the Ensemble Kaiman Filter on a North Sea Field Case. SPE J. 13 (4): 382-391. SPE-102430PA. DOI: 10.2118/102430-PA.
16. Houtekamer, P. L. and Mitchell, H. L. 2001. A sequential ensemble Kaiman filter for atmospheric data assimilation. Monthly Weather Review 129 (1): 123-137. DOI: 10.1175/1520-0493(2001)129<0123:ASEKFF>2.0.CO;2.
17. Li, G. and Reynolds, A.C. 2007. An Iterative Ensemble Kaiman Filter for Data Assimilation. Paper SPE 109808 presented at the SPE Annual Technical Conference and Exhibition, Anaheim, California, USA, 11-14 November. DOI: 10.2118/109808-MS.
18. Li, R., Reynolds, A.C., and Oliver, D.S. 2003. History Matching of ThreePhase How Production Data. SPE J. 8 (4): 328-340. SPE-87336-PA. DOI: 10.2118/87336-PA.
19. Liu, G., Chen, Y, and Zhang, D. 2008. Investigation of flow and transport processes at the MADE site using ensemble Kaiman filter. Advances in Water Resources 31 (7): 975-986.
20. Liu, N. and Oliver, D.S. 2006. Ensemble Kaiman filter for automatic history matching of geologic facies. J. Pet. Sci. Eng. 47 (3-4): 147-161. DOI: 10.1016/j.petrol.2005.03.006.
21. Lorentzen, RJ., Berg, A.M., Nævdal, G., and Vefring, E.H. 2006. A New Approach for Dynamic Optimization of Waterflooding Problems. Paper SPE 99690 presented at the Intelligent Energy Conference and Exhibition, Amsterdam, 11-13 April. DOI: 10.2118/99690-MS.
22. Mitchell, H.L., Houtekamer, PL., and Pellerin, G. 2002. Ensemble Size, Balance, and Model-Error Representation in an Ensemble Kaiman Filter. Monthly Weather Review 130 (11): 2792-2808. DOI: 10.1175/15200493(2002) 130<2791 :ESBAME>2.0.CO;2.
23. Nsevdal, G., Brower, D.R., and Jansen, J.-D. 2006. Waterflooding using closed-loop control. Computational Geosciences 10 (1): 37-60. DOI: 10.1007/s 10596-005-9010-9016
24. Naevdal, G., Johnsen, L.M., Aanonsen, S. I., and Vefring, E.H. 2005. Reservoir Monitoring and Continuous Model Updating Using Ensemble Kaiman Filter. SPEJ. 10 (1): 66-74. SPE-84372-PA. DOI: 10.2118/84372-PA. (Pubitemid 40573690)
25. Nwaozo, J. 2006. Dynamic optimization of a water flood reservoir. MS thesis, University of Oklahoma, Norman, Oklahoma.
26. Oliver, D.S. 1995. Moving averages for Gaussian simulation in two and three dimensions. Mathematical Geology 27 (8): 939-960. DOI: 10.1007/BF02091660.
27. Oliver, D.S., Reynolds, A.C., and Liu, N. 2008. Inverse Theory for Petroleum Reservoir Characterization and History Matching, first edition. Cambridge: Cambridge University Press.
28. Sarma, P, Aziz, K., and Durlofsky, L.J. 2005a. Implementation of Adjoint Solution for Optimal Control of Smart Wells. Paper SPE 92864 presented at the SPE Reservoir Simulation Symposium, The Woodlands, Texas, USA, 31 January-2 February. DOI: 10.2118/92864-MS.
29. Sarma, P., Durlofsky L., and Aziz, K. 2005b. Efficient Closed-Loop Production Optimization Under Uncertainty. Paper SPE 94241 presented at the SPE Europec/EAGE Annual Conference, Madrid, Spain, 13-16 June. DOI: 10.2118/94241-MS.
30. Tarantola, A. 2005. Inverse Problem Theory and Methods for Model Parameter Estimation. Philadelphia, Pennsylvania: SIAM.
31. van Doren, J.F.M., van den Hof, P.M.J., Jansen, J.D., and Bosgra, O.H. 2008. Determining Identifiable Parameterizations for Large-scale Physical Models in Reservoir Engineering. Proc, 17th Int. Fed. Autom. Control (IFAC) World Congress, Seoul, Korea, 6-11 July.
32. van Essen, G.M., Zandvliet, M.J., van den Hof, P.M.J., Bosgra, O.H., and Jansen, J.D. 2009. Robust Waterflooding Optimization of Multiple Geological Scenario. SPEJ. 14 (1): 202-210. SPE-102913-PA. DOI: 10.2118/102913-PA.
33. Wang, C, Li, G., and Reynolds, A.C. 2007. Production Optimization in Closed-Loop Reservoir Management. Paper SPE 109805 presented at the SPE Annual Technical Conference and Exhibition, Anaheim, California, USA, 11-14 November. DOI: 10.2118/109805-MS.
34. Wittenmark, B. 1995. Adaptive Dual Control Methods: An Overview. Proc. 5th IFAC Symposium on Adaptive Systems in Control and Signal Processing, Budapest, Hungary, 14-16 June, 67-73.