Benchmark study of Ensemble Kaiman Filter methodology: History matching and uncertainty quantification for a deep-water oil reservoir

Society of Petroleum Engineers - International Petroleum Technology Conference 2009, IPTC 2009

Volumn 4, Issue , 2009, Pages 2428-2443

  Cominelli, A ^a   Dovera, L ^a   Vimercati, S ^a   Naevdal, G ^b  

^a ENI S P A   (Italy)

^b IRIS ^*  (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ASSET TEAMS; BENCHMARK STUDY; BEST PRACTICE; COMMON UNDERSTANDING; COMPANY ASSETS; COST-EFFICIENT; DEEPWATER; GAUSSIANS; HISTORY MATCH; HISTORY MATCHING; KAIMAN FILTER; MATCHED MODELS; MODEL UNCERTAINTIES; OBJECTIVE FUNCTION VALUES; OIL RESERVOIRS; POROSITY UNCERTAINTY; PRODUCTION DATA; PRODUCTION FORECASTS; RELATIVE PERMEABILITY; SIMULATION MODEL; TRIAL-AND-ERROR PROCESS; UNCERTAINTY QUANTIFICATIONS; UNDER-SATURATED OIL; VARIOGRAMS; WATER SATURATIONS;

BENCHMARKING; CAPILLARITY; PETROLEUM ENGINEERING; PETROLEUM RESERVOIR EVALUATION; PETROLEUM RESERVOIRS; POROSITY; UNCERTAINTY ANALYSIS;

COMPUTER SIMULATION;

EID: 77952343856     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Oliver, D., S., Reynolds, A.,C., Liu, N., Inverse Theory for Petroleum Reservoir Characterization and History Matching, Cambridge University Press, 2008.
2. Kaiman, R.,E., A New Approach to Linear Filtering and Prediction Problems, Transactions of the ASME - Journal of Basic Engineering, 82, D, 35-45, 1960.
3. Evensen, G., Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics, Journal of Geophysical Research, 99(C5), 10,143,10,162, 1994.
4. Evensen, G., Data Assimilation: The Ensemble Kaiman Filter, Springer, 2007.
5. Houtekamer, P. L., H. L. Mitchell (1998), Data assimilation using an ensemble Kaiman filter technique, Mon Weather Rev 126: 796-811.
6. Bertino, L., Evensen, G., and Wackernagel H. (2003), Sequential data assimilation techniques in oceanography, International Statistical Review, 71: 223-241.
7. Moradkhani, H., Sorooshian S., Gupta, V.,H., Houser, P.,R., Dual state-parameter estimation of hydrological models using ensemble Kaiman filter, Advances in Water Resources 28 (2005) 135-147.
8. Lorentzen, R. J., G. Naevdal, and A. C. V. M. Lage, Tuning of parameters in a two-phase flow model using an ensemble Kaiman Filter, International Journal of Multiphase Flow, 29, 1289-1309, 2003
9. Naevdal, G., T. Mannseth, and E. H. Vefring, Instrumented wells and near-well reservoir monitoring through ensemble Kaiman Iter, in Proceedings of 8th European Conference on the Mathematics of Oil Recovery, Freiberg, Germany, 2002a.
10. Naevdal, G., T. Mannseth, and E. H. Vefring, Near-well reservoir monitoring through ensemble Kaiman Filter, SPE paper 75235, in Proceedings of SPE/DOE Improved Oil Recovery Symposium, 2002.
11. Naevdal, G., L. M. Johnsen, S. I. Aanonsen, and E. H. Vefring, Reservoir monitoring and continuous model updating using ensemble Kaiman Filter, SPE Journal, 10(1), 66-74, 2005.
12. Aanonsen, S.,I., Nævdal, G., Oliver, D.,S., Reynolds, A.,C., Vallès, B., The Ensemble Kaiman Filter in Reservoir Engineering-a Review, SPE J. SPE-117274-PA (in press; posted 27 August 2009).
13. A. Bianco, A. Cominelli, L. Dovera, Eni E&P Division, and G. Naevdal and B. Valles, Iris, History Matching and Production Forecast Uncertainty by Means of the Ensemble Kaiman Filter: A Real Field Application, Paper prepared for presentation at the 2007 SPE Europec/EAGE Annual Conference and Exhibition held in London, 11-14 June 2007.
14. Haugen, V., L.-J. Narvik, G. Evensen, A. Berg, K. Flornes, and Naevdal, G., History matching using the ensemble Kaiman Filter on a North Sea field case (SPE-102430), in SPE Annual Technical Conference and Exhibition, San Antonio, Texas, U.S.A., 2006.
15. Zhang, Yanfen and Dean S. Oliver, History Matching Using a Hierarchical Stochastic Model with the Ensemble Kaiman Filter: A Field Case Study, SPE-118879, presented at the 2009 SPE Reservoir Simulation Symposium, The Woodlands, February 2-4
16. Burgers, van Leeuwen, Evensen, On the Analysis Scheme in the Ensemble Kaiman Filter, Mon. Weather Rev., 126, 1719-1724, 1998.
17. Skjervheim, J.-A., G. Evensen, S. I. Aanonsen, B. O. Ruud, and T. A. Johansen, Incorporating 4D seismic data in reservoir simulation models using ensemble Kaiman lter, SPE Journal, 12(3), 282-292, 2007.
18. Furrer, R. and T. Bengtsson, Estimation of high-dimensional prior and posterior covariance matrices in Kaiman Filter variants, J. Multivar. Anal., 98(2), 227-255, 2007.
19. Gu, Y. and D. S. Oliver, History matching of the PUNQ-S3 reservoir model using the ensemble Kaiman Filter, SPE Journal, 10(2), 51-65, 2005.
20. Arroyo-Negrete, E., D. Devegowda, A. Datta-Gupta, and J. Choe, Streamline assisted ensemble Kaiman Filter for rapid and continuous reservoir model updating (SPE 104255), in Proc. of the International Oil & Gas Conference and Exhibition in China, 5-7 December 2006, Beijing, China, 2006