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Machine learning algorithms for real-time coal recognition using monitor-while-drilling data
International Journal of Mining Reclamation and Environment ( IF 2.4 ) Pub Date : 2023-09-05 , DOI: 10.1080/17480930.2023.2243783 G.E. Zagré 1 , M. Gamache 1 , R. Labib 1 , Viktor Shlenchak 2
International Journal of Mining Reclamation and Environment ( IF 2.4 ) Pub Date : 2023-09-05 , DOI: 10.1080/17480930.2023.2243783 G.E. Zagré 1 , M. Gamache 1 , R. Labib 1 , Viktor Shlenchak 2
Affiliation
Accurate coal seam identification is crucial in coal mining to prevent resource wastage and potential damage to coal seams from misplaced explosives. The current industry standard involves drilling...
中文翻译：
使用随钻监测数据进行实时煤炭识别的机器学习算法
准确的煤层识别对于煤炭开采至关重要，可以防止资源浪费和爆炸物错放对煤层的潜在损害。目前的行业标准涉及钻...
更新日期：2023-09-05
中文翻译：
使用随钻监测数据进行实时煤炭识别的机器学习算法
准确的煤层识别对于煤炭开采至关重要，可以防止资源浪费和爆炸物错放对煤层的潜在损害。目前的行业标准涉及钻...
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