能源行业正在热议人工智能，Corva 正在利用其合成复杂数据的能力，通过预测钻井软件来优化钻井作业。
“人工智能”可能刚刚赢得最热门流行词奖——特别是在能源领域。
关于人工智能的讨论正达到狂热的高度，它处理从油田运营中收集的大量数据的能力让休斯敦软件开发商 Corva 等公司利用人工智能来优化石油区块，有些人认为这是下一个重大事件。
“如果我们要收集钻井作业生成的所有数据：包括流数据； WITSML [井场信息传输标准标记语言]数据；振动数据； RSS [旋转导向系统]；以及所有静态数据，例如流体、报告、调查等等。我们有可能拥有一个良好的数据集，能够在其基础上构建一些人工智能产品，”William Fox，总经理Hart Energy 的 SUPER DUG 会议暨博览会期间表示，Corva 正在钻探。
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The energy sector is buzzing with talk of artificial intelligence, and Corva is capitalizing on its ability to synthesize complex data to optimize drilling operations with predictive drilling software.
"Artificial intelligence" might just win the prize for the buzziest buzzword—especially in the energy sector.
Talk of AI is reaching a feverish high, and its ability to handle the massive amounts of data gathered from oilfield operations have players like Houston-based software developer Corva capitalizing on what some see as the next big thing to optimize the oil patch.
“If we’re collecting all of the data being generated by drilling operations: both streaming data; WITSML [well-site information transfer standard markup language] data; vibration data; RSS [rotary steerable systems]; and all your static data, such as fluids, reports, surveys, so on and so forth… Potentially, we have a good data set to be able to build some AI stuff on top of it,” William Fox, general manager for drilling at Corva, said during Hart Energy’s SUPER DUG Conference & Expo.
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