Revolutionizing Oil Production State Diagnosis With Digital Twin and Deep Learning Fusion Technology
As global energy demand continues to grow, the efficiency and safety of oil and gas production systems have become increasingly important. However, the current-state diagnosis technologies in the oil and gas production sector still face multiple challenges. Traditional monitoring methods often rely...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/ijap/6480113 |
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