A learning computational engine for history matching

ECMOR 2006 - 10th European Conference on the Mathematics of Oil Recovery

Volumn , Issue , 2006, Pages

  Banchs, R E ^a   Klie, H ^b   Rodriguez A ^b   Thomas, S G ^b   Wheeler, M F ^b  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b Center for Subsurface Modeling   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ENGINES; ESTIMATION; FUNCTION EVALUATION; SENSORS;

HIGH RESOLUTION SEISMIC SURVEY; IN-SITU MEASUREMENT; INDIVIDUAL MODELING; MULTI-OBJECTIVE FUNCTIONS; OBJECTIVE FUNCTIONS; PERMEABILITY ESTIMATION; SIMULTANEOUS PERTURBATION STOCHASTIC APPROXIMATION ALGORITHMS; SOURCES OF INFORMATIONS;

PETROLEUM RESERVOIRS;

EID: 84896278237     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Haykin, S. 1994. Neural Networks: A Comprehensive Foundation. Macmillan College Publishing Company, New York.
2. Haykin, S. 1991. Adaptive Filter Theory. Prentice-Hall, Englewood Cliffs, NJ.
3. Hottman, W.E. and M.P. Curtis. 2001. Borehole seismic sensors in the instrumented oild field. The Leading Edge. vol. 20, N. 6, pp. 630-634.
4. Keane A.J. and P.B. Nair. 2005, Computational Approaches for Aerospace Design: The Pursuit of Excellence. Wiley, England.
5. Lumley, D., M.J. 2001.Time-Lapse Seismic Reservoir Monitoring. Geophysics. vol. 66, pp. 50-53, 2001.
6. Nikravesh, M., 2004. Soft computing-based computational intelligent for reservoir characterization. Expert Systems with Applications, 26, pp. 19-38.
7. Rodriguez A., H. Klie, G. Thomas, M.F. Wheeler. A Multiscale and Multimodel Simulation Model for History Matching. X European Conference on Mathematics of Oil Recovery (ECMOR), EAGE, Amsterdam, The Netherlands, 2006.
8. Spall, J.C., 2003. Introduction to stochastic search and optimization: Estimation, simulation and control. John Wiley & Sons, Inc., Publication, New Jersey.
9. van der Baan, M. and C. Jutten, 2000. Neural networks in geophysical applications. Geophysics. vol. 65, N. 4, pp. 1032-1047.
10. Versteeg R., M. Ankeny, J. Harbour, G. Heath, K. Kostelnik E.Matson, K. Moor and A. Richardson, 2004. A structured approach to the use of near-surface geophysics in long-term monitoring. The Leading Edge. vol. 23, N. 7, pp. 700-703.
11. M.F. Wheeler and M. Peszynska, 2002. Computational Engineering And Science Methodologies For Modeling And Simulation Of Subsurface Applications. Advances in Water Resources, 25, pp.1147-1173.