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Advancing artificial intelligence and machine learning

机译：推进人工智能和机器学习

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For decades,the oil and gas industry has focused on mechanical,engineering and geological factors to assess and manage exploration,drilling,completion and production operations.Those factors will still weigh heavily in decision-making,but they are now being supplemented by emerging technology in Artificial Intelligence(AI)and Machine Learning(ML).The National Energy Technology Laboratory(NETL)is heavily involved in increasing the role of AI and ML in upstream operations.The decision to pursue these capabilities was the result of a request by the U.S.Department of Energy,Assistant Secretary for Fossil Energy,Steven Win-berg,to survey the oil and gas industry about AI and ML.The resulting survey found that a lot of industry data were collected but only a fraction of the data is utilized.Emerging sources of data,such as those from fiber optics,are now becoming available and can provide rich,continuous datastreams.A conference of industry,academic and government sources was subsequently convened,under the leadership of Carnegie Mellon University,and the AI/ML initiative was begun.
机译：几十年来，石油和天然气行业专注于机械，工程和地质因素来评估和管理勘探，钻探，完成和生产运营。该因素仍然会在决策中大幅度重量，但现在正在通过新兴技术补充它们在人工智能（AI）和机器学习（ML）中。国家能源技术实验室（NETL）大量涉及提高AI和ML在上游操作中的作用。追求这些能力的决定是由请求的结果USDEPARTIMENTEMETPRENTEMETINE，化石能源助理秘书史蒂文WIN-BERG，调查石油和天然气行业关于AI和ML。所产生的调查发现，收集了许多行业数据，但仅利用了一小部分数据。新兴数据来源，如来自光纤，现在可以提供，可以提供丰富的持续数据汇集.A会议，学术和政府来源随后有限公司在Carnegie Mellon University的领导下，并开始了NVENCED，并开始了AI / ML倡议。

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