摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑每日新闻-关于人工智能ce的详细数据已经呈现。根据NewsRx记者从俄克拉何马诺尔曼发回的新闻报道，研究称，“在EP项目的初始阶段，关于储层产能的最可靠数据是通过钻杆测试(DST)获得的，当有生产测井仪器(PLT)数据时，该测试提供了每个流动单元的产能。然而，DST被限制在几公里以内，而地震数据覆盖了大面积。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Norman, Okl ahoma, by NewsRx correspondents, research stated, “During the initial phases of an EP project, the most reliable data on the reservoir s deliverability are acqu ired via drill stem tests (DST), which provide productivity per flow units, when ever production logging tool (PLT) data are available. However, DSTs are restric ted to a few kilometers, whereas seismic data cover large areas.”
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