Using population-based incremental learning algorithm to quantify the uncertainty in model parameters

69th European Association of Geoscientists and Engineers Conference and Exhibition 2007: Securing The Future. Incorporating SPE EUROPEC 2007

Volumn 2, Issue , 2007, Pages 1071-1075

  Petrovska, I ^a   Carter, J N ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COST BENEFIT ANALYSIS; EXHIBITIONS; INVERSE PROBLEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MODAL ANALYSIS; PETROLEUM INDUSTRY; PETROLEUM REFINERIES; PETROLEUM RESERVOIR EVALUATION; PETROLEUM RESERVOIRS; POPULATION STATISTICS; RISK PERCEPTION;

COMPUTATIONAL COSTS; FIELD DATUMS; HISTORY MATCHING; INCREMENTAL LEARNINGS; INVERSION TECHNIQUES; LINEAR INVERSE PROBLEMS; MODEL PARAMETERS; MONTE CARLO ANALYSES; MULTIPLE SOLUTIONS; OPTIMISATION; PARAMETER SPACES; POSTERIOR PROBABILITIES; RESERVOIR MODELS; TIME ISSUES;

MONTE CARLO METHODS;

EID: 55549116337     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Baluja, S. [1994] Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learnin. Technical Report CMU-C5_94-163, Carnegie Mellon University.
2. Bush, M.D. and Carter, J.N. [1996] Application of a modified Genetic Algorithm to parameter estimation in the petroleum industry, Intelligent Engineering Systems through Artificial Neural Networks 6, 397-402.
3. Carter, J.N., Ballester, P.J., Tavassoli, Z., King, P.R. [2005] Our calibrated model has no predictive value: An example from the petroleum industry., Reliability Engineering and System Safety, 194-200.
4. Christie, M.A., Subbey, S., Sambridge, M. [2002] Predictions under uncertainty in reservoir modeling, Proceedings of the eighth European Conference on the Mathematics of Oil Recovery, E53 1-8, EAGE Publications.
5. Romero, C.E. and Carter, J.N. [2001] Using genetic algorithms for reservoir characterization, Journal of Petroleum Science and Engineering 31, 113-123.
6. Tsutsui, S., Pelikan, M., Goldberg, D.E. [2001] Evolutionary Algorithm Using Marginal Histogram Models in Continuous Domain. IlliGAL Report No. 2001019.
7. Yuan, B., Gallagher, M., [2003] Playing in Continuous Spaces: Some Analysis and Extension of Population-Based Incremental Learning. Congress on Evolutionary Computation. IEEE. http://www3.imperial.ac.ak/ earthscienceandengineering/research/perm/icfaultmodel