Comparing genetic algorithms and newton-like methods for the solution of the history matching problem

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5544 LNCS, Issue PART 1, 2009, Pages 377-386

  Dos Santos, Elisa Portes ^a   Xavier, Carolina Ribeiro ^a   Goldfeld, Paulo ^b   Dickstein, Flavio ^b   Weber Dos Santos, Rodrigo ^a  

^a FEDERAL UNIVERSITY OF JUIZ DE FORA   (Brazil)

^b FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

History Matching; Optimization; Reservoir simulation

Indexed keywords

AUTOMATIC HISTORY MATCHING; CONJUGATE GRADIENT; HISTORICAL PERFORMANCE; HISTORY MATCHING; MODEL PERFORMANCE; MODEL VALIDATION; NEWTON LIKE METHODS; NON-LINEAR; OPTIMIZATION METHOD; QUASI-NEWTON METHODS; RESERVOIR MODELS; RESERVOIR SIMULATION;

CONJUGATE GRADIENT METHOD; INVERSE PROBLEMS; NEWTON-RAPHSON METHOD; OPTIMIZATION; SIMULATORS;

PETROLEUM RESERVOIRS;

EID: 68849121452     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01970-8_37     Document Type: Conference Paper

References (12)

1. Oliver, D.S., Albert, C.R., Liu, N.: Inverse theory for Petroleum Reservoir Characterization and History Matching. Cambridge University Press, Cambridge (2008)
2. Watson, A.T., Wade, J.G., Ewing, R.E.: Parameter and system identification for fluid flow in underground reservoirs. In: Conference on Inverse Problems and Optimal Design in Industry, Philadelphia (1994)
3. Brun, B., Gosselin, O., Barker, J.W.: Use of Prior Information in Gradient-Based History-Matching. In: SPE Reservoir Simulation Symposium, pp. 13-23 (2001)
4. Soleng, H.: Oil reservoir production forecasting with uncertainty estimation using genetic algorithms. In: Congress on Evolutionary Computation, pp. 1217-1223 (1999)
5. Versteeg, H., Malalasekra, W.: An Introduction to Computational Fluid Dynamics: The Finite Volume Method, 2nd edn. Prentice Hall, Harlow (2007)
6. Chen, Z., Huan, G., Li, B.: An improved IMPES method for two-phase flow in porous media. Transport in Porous Media 32, 261-276 (2004)
7. Luenberg, D.G.: Introduction to Linear and Nonlinear Programming. Addison-Wesley, Reading (1973)
8. Coley, D.A.: An Introduction to Genetic Algorithms for Scientists and Engineers. World Scientific Publishing Company, River Egde (1997)
9. Balay, S., Buschelman, K., Gropp, W.D., et al.: PETSc users manual. Technical Report ANL-95/11, Argonne National Laboratory (2002)
10. Galassi, M., Davies, J., Theiler, J., et al.: GNU Scientific Library Reference Manual. Network Theory, Bristol (2006)
11. Message Passing Interface Forum: MPI, a message-passing interface standard. Oregon Graduate Institute School of Science & Engineering (1994)
12. Chen, Z.: Reservoir Simulation: Mathematical Techniques in Oil Recovery. Society for Industrial and Applied Mathematics (2007)