Stochastic history matching of a deepwater turbidite reservoir

SPE Reservoir Simulation Symposium Proceedings

Volumn 2, Issue , 2009, Pages 736-749

  Alpak, Faruk O ^a   Van Kats, Florian ^a   Hohl, Detlef ^a  

^a Shell International Exploration and Production Inc

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC HISTORY MATCHING; COMMERCIAL TOOLS; DATA INTEGRATION; DEEPWATER; FIELD TEST; FORECAST UNCERTAINTY; HISTORICAL PRODUCTION; HISTORY MATCHING; IMPACT MODEL; INFERENCE TECHNIQUES; MARKOV CHAIN MONTE CARLO; MAXIMUM A POSTERIORI; MCMC METHOD; METROPOLIS-HASTINGS ALGORITHM; MULTIPLE MODELS; QUANTITATIVE MEASURES; RESERVOIR SIMULATION; RESPONSE SURFACE MODELS; SCENARIO MANAGEMENT; STOCHASTIC FRAMEWORK; TURBIDITE RESERVOIRS; UNCERTAINTY ESTIMATES; UNCERTAINTY QUANTIFICATIONS; WELL ANALYSIS; WORK-FLOWS; WORKING PRACTICES;

COMPUTATIONAL EFFICIENCY; DATA HANDLING; DESIGN OF EXPERIMENTS; INFERENCE ENGINES; MARKOV PROCESSES; PETROLEUM RESERVOIR EVALUATION; PETROLEUM RESERVOIRS; PROBABILITY DISTRIBUTIONS; SIMULATORS; SINGULAR VALUE DECOMPOSITION; SOLAR RADIATION; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

STOCHASTIC MODELS;

EID: 70449602544     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. Al-Shamma, B.R., and Teigland, R. (2006), History Matching of the Valhall Field Using a Global Optimization Method and Uncertainty Assessment, paper SPE 100946 presented at the SPE Annual Technical Conference and Exhibition, September 24-27, San Antonio, Texas, U.S.A.
2. Brun, B., Gosselin, O., Barker, J.W. (2004), Use of Prior Information in Gradient-Based History-Matching, paper SPE 87680, SPE Journal, v. 9, no. 1, p. 67-78.
3. Bustamante, D.S., Keller, D.R., and Monson, G.D. (2005), Understanding Reservoir Performance and Uncertainty Using a Multiple History Matching Process, paper SPE 95401 presented at the SPE Annual Technical Conference and Exhibition, October 9-12, Dallas, Texas, U.S.A.
4. Cullick, A.S., Johnson, D., and Shi, G. (2006), Improved and More-Rapid History Matching With a Nonlinear Proxy and Global Optimization, paper 101933 presented at the SPE Annual Technical Conference and Exhibition, September 24-27, San Antonio, Texas, U.S.A.
5. 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, February 26-28, Houston, Texas, U.S.A.
6. Evensen, G., Hove, J., Meisingset, H.C., Reiso, E., Seim, K.S., and Espelid, O. (2007), Using the EnKF for Assisted History Matching of a North Sea Reservoir Model, paper SPE 106184 presented at the SPE Reservoir Simulation Symposium, February 26-28, Houston, Texas, U.S.A.
7. Floris, F.J.T., Bush, M.D., Cuypers, M., Roggero, F., and Syversveen, A.-R. (2001), Methods for Quantifying the Uncertainty of Production Forecasts: A Comparative Study, Petroleum Geoscience, v. 7, p. S87 - S96.
8. Gamerman, G., and Lopes, H.F. (2006), Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Chapman & Hall/CRC, Boca Raton, Florida, U.S.A.
9. Gao, G., and Reynolds, A.C. (2006), An Improved Implementation of the LBFGS Algorithm for Automatic History Matching, paper SPE 90058, SPE Journal, v. 11, no. 1, March issue, p. 5-17.
10. Gilks, W.R., Richardson, S., Spiegelhalter, D.J. (1996), Markov Chain Monte Carlo in Practice, Interdisciplinary Statistics, Chapman & Hall/CRC, Boca Raton, Florida, U.S.A.
11. Gomez, S., Gosselin, O., and Barker, J. (2001), Gradient-Based History Matching With a Global Optimization Method, paper SPE 71307, SPE Journal, v. 6, no. 2, June issue, p. 200-208.
12. Hansen, K.M., Cunningham, G.S., and McKee, R.J. (1997), Uncertainty Assessment for Reconstructions Based on Deformable Geometry, International Journal of Imaging Systems and Technology, v. 8, p. 506-512.
13. Hastings, W.K. (1970), Monte Carlo Sampling Methods using Markov Chains and Their Applications, Biometrika, v. 57, no. 1, p. 97-109.
14. Kathrada, M. (2007), Uncertainty Evaluation of Reservoir Simulation Models using Particle Swarms and Hierarchical Clustering, M. Sc. thesis, Institute of Petroleum Engineering, Heriot Watt University, Edinburgh, U.K.
15. Kitanidis, P.K. (1995), Quasi-linear Geostatistical Theory for Inversing, Water Resources Research, v. 31, no. 10, p. 2411-2419.
16. Montgomery, D.C. (2001), Design and Analysis of Experiments, 5th ed., John Wiley & Sons Inc., New York, New York, U.S.A.
17. Myers, R.H., and Montgomery, D.C. (2002), Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 2nd ed., John Wiley & Sons Inc., New York, New York, U.S.A.
18. Nicotra, G., Godi, A., Cominelli, A., and Christie, M. (2005), Production Data and Uncertainty Quantification: A Real Case Study, paper SPE 93280 presented at the SPE Reservoir Simulation Symposium, January 31 - February 2, Houston, Texas, U.S.A.
19. Ouenes, A., Brefort, B., Meunier, G., and Dupere, S. (1993), A New Algorithm for Automatic History Matching: Application of Simulated Annealing Method (SAM) to Reservoir Inverse Modeling, unsolicited paper, SPE26297.
20. Sambridge, M. (1999), Geophysical Inversion with a Neighbourhood Algorithm-I. Searching a Parameter Space, Geophysical Journal International, v. 138, p. 479-494.
21. Schulze-Riegert, R.W., Axmann, J.K., Haase, O., Rian, D.T., and You, H. (2002), Evolutionary Algorithms Applied to History-Matching of Complex Reservoirs, paper SPE 77301, SPE Reservoir Evaluation & Engineering, v. 5, no. 2, April issue, p. 163-173.
22. 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, SPE Journal, v. 12, no. 3, September issue, p. 282-292.
23. Subbey, S., Christie, M., and Sambridge, M. (2004), Prediction under Uncertainty in Reservoir Modeling, Journal of Petroleum Science and Engineering, v. 44, p. 143-153.
24. Tarantola, A. (2005), Inverse Problem Theory, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, Pennsylvania, U.S.A.
25. Tavassoli, Z., Carter, J.N., and King, P.R. (2004), Errors in History Matching, paper SPE 86883, SPE Journal, v. 9, no. 3, September issue, p. 352-361.
26. Yang, C., Nghiem, L., and Card, C. (2007), Reservoir Model Uncertainty Quantification Through Computer-Assisted History Matching, paper SPE 109825 presented at the SPE Annual Technical Conference and Exhibition, November 11-14, Anaheim, California, U.S.A.