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Deep Learning Applications for Drilling Performance: Forecasting, Diagnostics, Telemetry, and Predictive Maintenance - Advances in Oil and Gas Exploration & Production Carlos Urdaneta
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Deep Learning Applications for Drilling Performance: Forecasting, Diagnostics, Telemetry, and Predictive Maintenance - Advances in Oil and Gas Exploration & Production
Carlos Urdaneta
mso-fareast-language: DE;">This book presents data driven approaches to improve drilling performance in geothermal, coiled tubing, and conventional operations. This book also details synthetic data driven models combined with physics-based degradation approaches to forecast the remaining useful life of drilling equipment.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2026. gada 20. maijs |
| ISBN13 | 9783032266477 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 117 |
| Izmēri | 264 × 186 × 13 mm · 412 g |
| Valoda | Vācu |
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