Name
Title | ||
|---|---|---|
Comparison between genetic algorithms and differential evolution for solving the history matching problem |
Abstract | ||
|---|---|---|
This work presents a performance comparison between Differential Evolution (DE) and Genetic Algorithms (GA), for the automatic history matching problem of reservoir simulations. The history matching process is an inverse problem that searches a set of parameters that minimizes the difference between the model performance and the historical performance of the field. This model validation process is essential and gives credibility to the predictions of the reservoir model. Four case studies were analyzed each of them differing on the number of parameters to be estimated: 2, 4, 9 and 16. Several tests are performed and the preliminary results are presented and discussed. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-31125-3_48 | ICCSA (1) |
Keywords | Field | DocType |
genetic algorithms,differential evolution,automatic history,genetic algorithm,reservoir simulation,inverse problem,performance comparison,model performance,historical performance,reservoir model,model validation process | Reservoir simulation,Mathematical optimization,Credibility,Computer science,Algorithm,Differential evolution,Inverse problem,Genetic algorithm | Conference |
Volume | ISSN | Citations |
7333 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elisa P. dos Santos Amorim | 1 | 1 | 0.35 |
| Carolina Ribeiro Xavier | 2 | 17 | 6.00 |
| Ricardo Silva Campos | 3 | 19 | 5.70 |
| weber dos santos r | 4 | 199 | 44.90 |