摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。根据NewsRx编辑在马来西亚Seri Iskandar的新闻报道，研究表明，“这项研究的目的是整合地震和井数据，或重新评估和描绘晚始新世McKee组的地质和岩石物理特征。尽管McKee组是一个碳氢化合物产炭场，但以前没有进行过描述其在Taranaki盆地矿床特征的综合研究。”这项研究的资助者包括Universiti Teknologi PETRONAS，Hy drocarbon回收研究所(IHR)，GR T Grant，YUTP。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting out of Seri Iskandar, Malaysia, by NewsRx editors, research stated, “This study aims to integrate seismic and well data f or re-assessment and delineating the geological and petrophysical characteristic s of the Late Eocene McKee Formation. Despite the McKee Formation being a hydroc arbonproducing field, there have been no previous integrated studies conducted t o characterize its deposits in the Taranaki Basin.” Funders for this research include Universiti Teknologi PETRONAS, Institute of Hy drocarbon Recovery (IHR), GR T Grant, YUTP.
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