Study on intelligent prediction method of rock drillability based on Bayesian lithology classification and optimized BP neural network
With the rapid development of shale gas in northeastern Sichuan province, problems such as low drilling rate, long drilling cycle and serious bit wear are becoming more and more prominent in shale gas drilling process. This paper proposes new prediction theory with two steps based on logging data se...
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| Veröffentlicht in: | Petroleum science and technology Jg. 40; H. 17; S. 2141 - 2162 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Abingdon
Taylor & Francis
12.05.2022
Taylor & Francis Ltd |
| Schlagworte: | |
| ISSN: | 1091-6466, 1532-2459 |
| Online-Zugang: | Volltext |
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