Enhancing predictive maintenance strategies for oil and gas equipment through ensemble learning modeling
Abstract In the field of oil and gas equipment management, frequent maintenance is conducted, resulting in unnecessary costs. Relying solely on a single artificial intelligence model often leads to low predictive accuracy and inadequate robustness because of the poor data quality. Therefore, a metho...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-02-01
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| Series: | Journal of Petroleum Exploration and Production Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s13202-025-01931-x |