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| 2019-02-25 来源： 中国石化新闻网 |
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石化新闻 |
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中国石化新闻网讯 据路透社报道，埃克森美孚和微软上周五表示，两家公司已同意在这家美国石油生产商（埃克森美孚）的页岩业务中使用云技术，这将有助于提高美国最大页岩油田（二叠纪盆地）的盈利能力。 两家公司将从埃克森美孚的油井和其他生产资产中收集数据，这些油井和资产位于德克萨斯州西部和新墨西哥州的二叠纪盆地，在那里，作为全球最大公开交易的油气公司埃克森美孚拥有160万英亩的土地，并使埃克森美孚的工人能够立即使用。 协议的价值未被披露，但埃克森美孚在一份声明中表示，这一合作关系是石油界在云计算中规模最大的。 埃克森美孚表示，这项技术将使设备泄漏能够立即被检测出来，以减少偏远地区的维修时间，并应用人工智能分析钻井和完井数据。 埃克森美孚承诺到2025年将其二叠纪盆地的产量提高到每天60万桶石油当量。该公司去年第四季度二叠纪产量为每天19万桶石油和天然气。 根据咨询公司IHS Markit的数据，二叠纪目前日产量约为385万桶，预计到2023年，二叠纪的日产量约为540万桶，比除沙特以外的欧佩克中任何一个成员国的产量都要多。 今年1月，在拉斯维加斯的消费电子展上，埃克森美孚宣布与国际商业机器公司（IBM）达成协议，探讨量子计算在能源和制造领域的潜力。 詹晓晶摘自路透社 原文如下： Exxon, Microsoft strike cloud computing agreement for U.S. shale Exxon Mobil Corp and Microsoft Corp have agreed to use cloud technology in the U.S. oil producer’s shale operations, they said on Friday, helping to boost profitability in the nation’s largest shale field. The companies will collect data from Exxon’s wells and other production assets in the Permian Basin of West Texas and New Mexico, where the world’s largest publicly traded oil and gas company holds 1.6 million acres, and make it immediately accessible to Exxon workers. The value of the agreement was not disclosed. But the partnership is the industry’s largest in cloud computing, Exxon said in a statement. The technology would allow equipment leaks to be immediately detected to reduce repair times in remote locations, and apply artificial intelligence to analyze drilling and completions data, Exxon said. Exxon has pledged to increase its Permian Basin production to 600,000 barrels of oil equivalent per day (boepd) by 2025. The company’s fourth-quarter Permian production was 190,000 barrels of oil and gas per day. The Permian, which produces about 3.85 million bpd, is forecast to generate 5.4 million bpd by 2023, greater than any single member of the Organization of the Petroleum Exporting Countries other than Saudi Arabia, according to consultancy IHS Markit. In January at the Consumer Electronics Show in Las Vegas, Exxon announced an agreement with International Business Machines Corp to explore the potential for quantum computing in energy and manufacturing.
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