Evolutionary algorithms applied to history matching of complex reservoirs

SPE Reservoir Evaluation and Engineering

Volumn 5, Issue 2, 2002, Pages 163-173

  Schulze Riegert, R W ^a   Axmann, J K ^a   Haase, O ^a   Rian, D T ^a   You, Y L ^a  

^a Techonology with Scandpower   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; HYDROCARBON RESERVOIR; MODELING; OPTIMIZATION;

ALGORITHM; MODELING; RESERVOIR CHARACTERIZATION;

EID: 0036092462     PISSN: 10946470     EISSN: None     Source Type: Journal    
DOI: 10.2118/77301-PA     Document Type: Article

References (26)

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3. Combining geostatistical modelling with gradient information for history matching: The pilot point method
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5. History matching for lauchstaedt underground gas storage
6. Gradient-based history-matching with a global optimization method
7. A new automated history matching algorithm improved by parallel computing
8. Use Of reservoir simulation, parallel computing, and optimization techniques to accelerate history matching and reservoir management decisions
9. Use of automatic history matching and geostatistical simulation to improve production forecast
10. Oil reservoir production forecasting with uncertainty estimation using genetic algorithms
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14. Parallel adaptive evolutionary algorithms for pressurized water reactors reload pattern optimizations
15. PVM: A framework for distributed computing
16. Optimization by simulated annealing
17. The downhill simplex algorithm