A robust deep structured prediction model for petroleum reservoir characterization using pressure transient test data
A robust deep learning model consisting of long short-term memory and fully connected neural networks has been proposed to automatically interpret homogeneous petroleum reservoirs having infinite, no flow, and constant pressure outer boundary conditions. The pressure change data recorded during the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2022-06-01
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| Series: | Petroleum Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2096249521000685 |