Hybridization of the probability perturbation method with gradient information |
| |
| Authors: | Kent Johansen Jef Caers Satomi Suzuki |
| |
| Institution: | 1.IVC-SEP, Department of Chemical Engineering,Technical University of Denmark,Kgs. Lyngby,Denmark;2.Energy Resources Engineering Department,Stanford University,Stanford,USA |
| |
| Abstract: | Geostatistically based history-matching methods make it possible to devise history-matching strategies that will honor geologic
knowledge about the reservoir. However, the performance of these methods is known to be impeded by slow convergence rates
resulting from the stochastic nature of the algorithm. It is the purpose of this paper to introduce a method that integrates
qualitative gradient information into the probability perturbation method to improve convergence. The potential of the proposed
method is demonstrated on a synthetic history-matching example. The results indicate that inclusion of qualitative gradient
information improves the performance of the probability perturbation method. |
| |
| Keywords: | History matching Hybrid method Gradient Probability perturbation |
| 本文献已被 SpringerLink 等数据库收录！ |
