Closed-loop reservoir management

SPE Reservoir Simulation Symposium Proceedings

Volumn 2, Issue , 2009, Pages 856-873

  Jansen, J D ^a   Douma, S D ^b   Brouwer, D R ^b   Van Den Hof, P M J ^b   Bosgra, O H ^b   Heemink, A W ^b  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b SIEP ^*

Author keywords

[No Author keywords available]

Indexed keywords

ADJOINTS; CLOSED-LOOP; COMPLEX MODEL; COMPUTER ASSISTED; CONTINUOUS PROCESS; CONTROL VARIABLE; DATA ASSIMILATION; DATA ASSIMILATION TECHNIQUES; ENSEMBLE KALMAN FILTER; FINANCIAL MEASURES; MEASUREMENT AND CONTROL; MODEL BASED OPTIMIZATION; NET PRESENT VALUE; NUMBER OF GRIDS; NUMERICAL EXAMPLE; OPEN LOOPS; OPTIMAL RATE; OPTIMIZATION FREQUENCIES; OPTIMIZATION PROBLEMS; PRESSURE CONSTRAINTS; PROCESS INDUSTRIES; PRODUCTION OPTIMIZATION; REACTIVE CONTROL; REAL-TIME PRODUCTION DATA; RESERVOIR CONDITIONS; RESERVOIR MODELS; RESERVOIR PERFORMANCE; RESERVOIR SIMULATOR; WATERFLOODING; WELL CONFIGURATION; WELL WATER;

CONTROL THEORY; DATA PROCESSING; MANAGEMENT; METAL RECOVERY; OCEANOGRAPHY; OPTIMIZATION; PETROLEUM RESERVOIR EVALUATION; RESERVOIRS (WATER); SIMULATORS; SOLAR RADIATION; WATER WELLS;

RESERVOIR MANAGEMENT;

EID: 70449574330     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (76)

1. Aitokhuehi, I, and Durlofsky, L.J. 2005. Optimizing the performance of smart wells in complex reservoirs using continuously updated geological models. Journal of Petroleum Science and Engineering 48 (3 & 4): 254-264. DOI: 10.1016/j.petrol.2005.06.004.
2. Alhuthali, A.H., Oyerinde, D. and Datta-Gupta, A. 2007. Optimal water flood management using rate control. SPEREE 10 (5): 539-551. DOI: 10.2118/102478-PA.
3. Alhuthali, A.H., Datta-Gupta, A., Yuen, B. and Fontanilla, J.P. 2008. Optimal rate control under geologic uncertainty. Paper SPE 113628 presented at the SPE/DOE Symposium on Improved Oil Recovery. DOI: 10.2118/113628-MS.
4. Alpak, F.O., van Kats, F. and Hohl, D. 2009. Stochastic history matching of a deepwater turbidite reservoir. Paper SPE 119030 presented at the SPE Reservoir Simulation Symposium, The Woodlands, USA, 2-4 February.
5. Asheim, H. 1988. Maximization of water sweep efficiency by controlling production and injection rates. Paper SPE 18365 presented at the SPE European Petroleum Conference, London, UK, October 16-18. DOI: 10.2118/18365-MS.
6. Baird, J. and Dawson, C. 2007. The representer method for two-phase flow in porous media. Computational Geosciences 11 (3): 235-248. DOI: 10.1007/S10596-007-9048-8.
7. Barker, J.W., Cuypers, M. and Holden, L. 2001. Quantifying uncertainty in production forecasts: Another look at the PUNQ-S3 problem. SPEJ 6 (4) 433-441. DOI: 10.2118/74707-PA.
8. Bennett, A.F. 2002. Inverse modeling of the ocean and the atmosphere. Cambridge University Press, Cambridge.
9. Brouwer, D.R. and Jansen, J.D. 2004. Dynamic optimization of water flooding with smart wells using optimal control theory. SPEJ 9 (4): 391-402. DOI: 10.2118/78278-PA.
10. Brouwer, D.R., Naevdal, G., Jansen, J.D., Vefring, E. 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, Texas, USA, 26-29 September. DOI: 10.2118/90149-MS.
11. Caers, J. 2003. History matching under training-image-based geological model constraints. SPEJ 8 (3): 218-226. DOI: 10.2118/74716-PA.
12. Cardoso, M.A., Durlofsky, L.J. and Sarma, P. 2008. Development and application of reduced-order modeling procedures for subsurface flow simulation. Int. J. for Numerical Methods in Engineering. Published on-line. DOI: 10.1002/nme.2453.
13. Chavent, G., Dupuy, M. and Lemonnier, P. 1975. History matching by use of optimal theory. SPEJ 15 (1): 74-86. DOI: 10.2118/4627-PA.
14. Chen, Y., Oliver, D.S. and Zhang, D. 2008. Efficient ensemble-based closed-loop production optimization. Paper SPE 112873 presented at the SPE/DOE Improved Oil Recovery Symposium, Tulsa, USA, 19-23 April, DOI: 10.2118/112873-MS.
15. Chen, Y., Oliver and D.S. 2009. Application of ensemble-based closed-loop production optimization on Brugge field. Paper SPE 118962 presented at the SPE Reservoir Simulation Symposium, The Woodlands, USA, 2-4 February.
16. Chierici, G.L. 1992. Economically improving oil recovery by advanced reservoir management. Journal of Petroleum Science and Engineering 8 (3): 205-219. DOI: 10.1016/0920-4105(92)90034-X.
17. th European Conference on the Mathematics of Oil Recovery (ECMOR X), Paper A041, Amsterdam, The Netherlands, September 4-7.
18. Devegowda, D., Arroyo-Negrete, E., Datta-Gupta, A. and Douma, S.G. 2007. Efficient and robust reservoir model updating using ensemble Kalman filter with sensitivity-based covariance localization. Paper SPE 106144, presented at the SPE Reservoir Simulation Symposium, Houston, USA, 26-28 February. DOI: 10.2118/106144-MS.
19. Erbas, D. and Christie, M.A. 2007. Effect of sampling strategies on prediction uncertainty estimation. Paper SPE 106229, presented at the SPE Reservoir Simulation Symposium, Houston, USA, 26-28 February. DOI: 10.2118/106229-MS.
20. Evensen, G. 1994. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res. 99 (C5): 10143-10162.
21. Evensen, G. 2007. Data assimilation - The Ensemble Kalman Filter. Springer, Berlin.
22. Gavalas, G.R., Shah, P.C. and Seinfeld, J.H. 1976. Reservoir history matching by Bayesian estimation. SPEJ 16 (6): 337-350. DOI: 10.2118/5740-PA.
23. Gildin, E., Klie, H., Rodriguez, A., Wheeler, M.F. and Bishop, R.H. 2006. Development of low-order controllers for high-order reservoir models and smart wells. Paper SPE 102214 presented at the SPE Annual Technical Conference and Exhibition, San Antonio, USA, 24-27 September. DOI: 10.2118/102214-MS.
24. Gu, Y. and Oliver, D. 2007. An iterative ensemble Kalman filter for multiphase fluid flow data assimilation. SPEJ 12 (4): 438-446. DOI: 10.2118/108438-PA.
25. Heijn, T., Markovinović, R. and Jansen, J.D. 2004. Generation of low-order reservoir models using system-theoretical concepts. SPEJ 9 (2): 202-218. DOI: 10.2118/88361-PA.
26. Jafarpour, B. and McLaughlin, D. 2007. Efficient permeability parameterization with the discrete cosine transform. Paper SPE 106453 presented at the SPE Reservoir Simulation Symposium, Houston, USA, 26-28 February. DOI: 10.2118/106453-MS.
27. Jansen, J.D., Brouwer, D.R., Naevdal, G. and van Kruijsdijk, C.P.J.W. 2005. Closed-loop reservoir management. First Break 23: 43-48.
28. Jansen, J.D., Durlofsky, L., Aziz, K. and van Kruijsdijk, C.P.J.W. 2006. Editorial for special issue on "Closed-loop reservoir management". Computational Geosciences 10 (1): 1-2. DOI: 10.1007/s10596-005- 9015-1. For a listing of papers see: http://www-springerlink.com/content/ rnvrk3737207/?p=a70453a2ddf145988e456abf()54da91b&pi=10.
29. Jansen, J.D., Bosgra, O.H. and Van den Hof, P.M.J. 2008. Model-based control of multiphase flow in subsurface oil reservoirs. Journal of Process Control 18: 846-855. DOI: 10.1016/j.jprocont.2008.06.011.
30. Kraaijevanger, J.F.B.M., Egberts, P.J.P., Valstar, J.R. and Buurman, H.W. 2007. Optimal water flood design using the adjoint method. Paper SPE 105764 presented at the SPE Reservoir Simulation Symposium, Houston, USA, 26-28 February. DOI: 10.2118/105764-MS.
31. Li, R., Reynolds, A.C., and Oliver, D.S. 2003. History matching of three-phase flow production data. SPEJ 8 (4): 328-340. DOI: 10.2118/87336-PA.
32. Lien, M., Brouwer, D.R., Manseth, T. and Jansen, J.D. 2008. Multiscale regularization of flooding optimization for smart field management. SPEJ 13 (2): 195-204. DOI: 10.2118/99728-PA.
33. Lorentzen, R.J., Berg, A.M., Naevdal, G. and Vefring, E.H. 2006. A new approach for dynamic optimization of water flooding problems. Paper SPE 99690 presented at the SPE Intelligent Energy Conference and Exhibition, Amsterdam, The Netherlands, 25-27 February. DOI: 10.2118/99690-MS.
34. Lorentzen, R.J., Shafieirad, A. and Naevdal, G. 2009. Closed-loop reservoir management using the ensemble Kalman filter and sequential quadratic programming. Paper SPE 119101 presented at the SPE Reservoir Simulation Symposium, The Woodlands, USA, 2-4 February.
35. Markovinovic, R. and Jansen, J.D. 2006. Accelerating iterative solution methods using reduced-order models as solution predictors. Int. J. for Numerical Methods in Engineering 68 (5) 525-541, DOI: 10.1002/nme.1721.
36. Naevdal, G., Johnsen, L.M., Aanonsen, S.I., Vefring, E.H. 2005. Reservoir monitoring and continuous model updating using ensemble Kalman filter. SPEJ 10 (1): 66-74. DOI: 10.2118/84372-PA.
37. Naevdal, G., Brouwer, D.R. and Jansen, J.D. 2006. Water flooding using closed-loop control. Computational Geosciences 10 (1): 37-60. DOI: 10.1007/s 10596-005-9010-6.
38. Oliver, D.S., Reynolds, A.C. and Liu, N. 2008. Inverse theory for petroleum reservoir characterization and history matching. Cambridge University Press, Cambridge.
39. Omre, H. and Lødøen, O.P. 2004. Improved production forecasts and history matching using approximate fluid-flow simulators. SPEJ 9 (3): 339-351. DOI: 10.2118/74691-PA.
40. th European Conference on the Mathematics of Oil Recovery (ECMOR IX), Cannes, France, August 28 - September 2.
41. Peters, E., Arts, R.J., Brouwer, G.K., Geel, C. 2009. Results of the Brugge benchmark study for flooding optimization and history matching. Paper SPE 119094 presented at the SPE Reservoir Simulation Symposium, The Woodlands, USA, 2-4 February.
42. Przybysz-Jarnut, J.K., Hanea, R.G., Jansen, J.D. and Heemink, A.W. 2007. Application of the representer method for parameter estimation in numerical reservoir models. Computational Geosciences 11 (1): 73-85, DOI: 10.1007/s10596-006-9035-5.
43. Ramirez, W.F. 1987. Application of optimal control theory to enhanced oil recovery. Elsevier, Amsterdam.
44. Reynolds, A.C. and Zafari, M. 2006. Iterative forms of the ensemble Kalman filter. Proc. 10th European Conference on the Mathematics of Oil Recovery (ECMOR X). Paper A030, Amsterdam, The Netherlands, 4-7 September.
45. Rodrigues, J.R.P. 2006. Calculating derivatives for automatic history matching. Computational Geosciences 10 (1): 119-136. DOI: 10.1007/s10596-005-9013-3.
46. Roggero, F. and Hu, L.Y. 1998. Gradual deformation of continuous geostatistical models for history matching. Paper SPE 49004 presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, USA, 27-30 Sept. DOI: 10.2118/49004-MS.
47. Rommelse, J.R., Jansen, J.D. and Heemink, A.W. 2007. An efficient gradient-based parameter estimation algorithm using representer expansions. Submitted for publication. Preprint available as Report 07-05 of the Dept. of Mathematical Analysis, Delft University of Technology, Delft, The Netherlands.
48. Sahni, I. and Home, R.N. 2005. Multiresolution wavelet analysis for improved reservoir description. SPEREE 8 (1): 53-69 DOI: 10.2118/87820-PA.
49. Saputelli, L., Nikolaou, M. and Economides, M.J. 2005. Self-learning reservoir management. SPEREE 8 (6): 534-547. DOI: 10.2118/84064-PA.
50. Saputelli, L., Nikolaou, M. and Economides, M.J. 2006. Real-time reservoir management: a multi-scale adaptive optimization and control approach. Computational Geosciences 10 (1) 61-96. DOI: 10.1007/s 10596-005-9011-5.
51. 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, Houston, USA, 31 January - 2 February. DOI: 10.2118/92864-MS.
52. Sarma, P., Durlofsky, L.J. 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.
53. Sarma, P., Durlofsky, L.J., Aziz, K. and Chen, W.H. 2006a. Efficient real-time reservoir management using adjoint-based optimal control and model updating. Computational Geosciences 10 (1): 3-36. DOI: 10.1007/s 10596-005-9009-z.
54. Sarma, P., Durlofsky, L.J., Aziz, K. and Chen, W.H. 2007. A new approach to automatic history matching using kernel PCA. Paper 106176 presented at the SPE Reservoir Simulation Symposium, Houston, Texas, USA, 26-28 February. DOI: 10.2118/106176-MS.
55. Sarma, P., Chen, W.H. Durlofsky, L.J. and Aziz, K. 2008. Production optimization with adjoint models under nonlinear control-state path inequality constraints, SPEREE 11 (2): 326-339. DOI: 10.2118/99959-PA.
56. Sarma, P., Durlofsky, L.J. and Aziz, K. 2008. Computational techniques for closed-loop reservoir modeling with application to a realistic reservoir. Petroleum Science and Technology 26 (10 & 11): 1120-1140. DOI: 10.1080/10916460701829580.
57. Schulze-Riegert, R.W., Axmann, J.K., Haase, O., Rian, D.T., You, Y.-L. 2002. Evolutionary algorithms applied to history matching of complex reservoirs. SPEREE 5 (2): 163-173. DOI: 10.2118/77301-PA.
58. Skjervheim, J.A., Evensen, G., Aanonsen, S.I., Ruud, B.O. and Johansen, T.A. 2007. Incorporating 4D seismic data in reservoir simulation models using ensemble Kalman filter. SPEJ 12 (3): 282-292. DOI: 10.2118/95789-PA.
59. Sudaryanto, B., and Yortsos, Y.C. 2000. Optimization of fluid front dynamics in porous media using rate control. Physics of Fluids 12 (7): 1656-1670.
60. Tarantola, A. 2005. Inverse problem theory and methods for model parameter estimation. SIAM, Philadelphia.
61. Thiele, M.R. and Batycky, R.P. 2006. Using streamline-derived injection efficiencies for improved water flood management. SPEREE 9: 187-196. DOI: 10.2118/84080-PA.
62. Vakili-Ghahani, A. and Jansen, J.D. 2008. Control relevant upscaling. Paper SPE 113647 presented at the 2008 SPE Europec/EAGE Annual Conference and Exhibition, Rome, Italy, 9-12 June. DOI: 10.2118/113647-MS.
63. Van Doren, J.F.M., Markovinović, R. and Jansen, J.D. 2006. Reduced-order optimal control of water flooding using POD. Computational Geosciences 10 (1) 137-158. DOI: 10.1007/s10596-005-9014-2.
64. Van Essen, G.M., Zandvliet, M.J., Van den Hof, P.M.J., Bosgra, O.H. and Jansen, J.D. 2006. Robust water flooding optimization of multiple geological scenarios. Paper SPE 102913 presented at the SPE Annual Technical Conference and Exhibition, San Antonio, USA, 24-27 September. DOI: 10.2118/102913-MS.
65. Vasco, D.W., Soon, S. and Datta-Gupta, A. 1999. Integrating dynamic data into high-resolution reservoir models using streamline-based analytical sensitivity coefficients. SPEJ 4 (4) 389-399. DOI: 10.2118/59253-PA.
66. 6 European Symp. on IOR, Stavanger, Norway, 437-446.
67. 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, USA, 11-14 November. DOI: 10.2118/109805-MS.
68. Wen, X.-H. and Chen, W.H. 2006. Real-time reservoir model updating using Ensemble Kalman filter with confirming option. SPEJ 11 (4): 431-442. DOI: 10.2118/92991-PA.
69. Yang, D., Zhang, Q., Gua, Y. 2003. Integrated optimization and control of the production-injection operation systems for hydrocarbon reservoirs. Journal of Petroleum Science and Engineering 37 (1 & 2): 69-81. DOI: 10.1016/S0920-4105(02)00311-X.
70. Yang, C., Nghiem L., Card, C. and Bremeir, M. 2007. Reservoir model uncertainty quantification through computer-assisted history matching. Paper SPE 109825 presented at the SPE Annual Technical Conference and Exhibition, Anaheim, USA, 11-14 November. DOI: 10.2118/109825-MS.
71. Yeten, B., Brouwer, D.R., Durlofsky, L.J. and Aziz, K. 2004. Decision analysis under uncertainty for smart well deployment. Journal of Petroleum Science and Engineering 43 (3 & 4): 183-199. DOI: 10.1016/j.petrol.2004.02.013.
72. Zafari, M. and Reynolds A.C. 2007. Assessing the uncertainty in reservoir description and performance predictions with the ensemble Kalman filter. SPEJ 12 (3): 382-391. DOI: 10.2118/95750-PA.
73. Zakirov, I.S., Aanonsen, S.I., Zakirov, E.S., and Palatnik, B.M. 1996. Optimization of reservoir performance by automatic allocation of well rates. Proc. 5th European Conference on the Mathematics of Oil Recovery (ECMOR V), Leoben, Austria.
74. Zandvliet, M.J., Bosgra, O.H., Jansen, J.D., Van den Hof, P.M.J., and Kraaijevanger, J.F.B.M. 2007. Bang-bang control and singular arcs in reservoir flooding. Journal of Petroleum Science and Engineering 58 (1 & 2): 186-200. DOI: 10.1016/j.petrol.2006.12.008.
75. Zandvliet, M.J., van Doren, J.F.M., Bosgra, O.H., Jansen, J.D. and van den Hof, P.M.J. 2008. Controllability, observability and identifiability in single-phase porous media flow. Published online in Computational Geosciences. DOI: 10.1007/s 10596-008-9100-3.
76. Zhang, F., Skjervheim, J.A., Reynolds, A.C. and Oliver, D.S. 2005. Automatic history matching in a Bayesian framework, example applications. SPEREE 8(3): 214-223. DOI: 10.2118/84461-PA.