Artificial neural network based production forecasting for a hydrocarbon reservoir under water injection
As the conventional prediction methods for production of waterflooding reservoirs have some drawbacks, a production forecasting model based on artificial neural network was proposed, the simulation process by this method was presented, and some examples were illustrated. A workflow that involves a p...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2020-04-01
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| Series: | Petroleum Exploration and Development |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1876380420600556 |