Parameter Optimization Study of Gas Hydrate Reservoir Development Based on a Surrogate Model Assisted Particle Swarm Algorithm
Using surrogate model to assist parameter optimization of oil and gas reservoir development can greatly reduce the call times of numerical simulator and accelerate the optimization process. However, for serial simulators or parallel simulators with low speedup ratio, the conventional method is still...
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Main Authors: | Le Zhang, Xin Huang, Jiayuan He, Xueqi Cen, Yongge Liu |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
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Series: | Geofluids |
Online Access: | http://dx.doi.org/10.1155/2022/2056323 |
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