摘要
一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-在一份新的报告中讨论了机器学习的研究结果。据新华社驻京新闻报道，“近年来，随着TIG HT油藏勘探开发理论的深入和关键工程技术的不断突破，中国陆上致密油开发取得了积极进展。”因此，识别致密油藏产能的主要控制因素，预测致密油藏产能对开发石油资源至关重要。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Beij ing, People’s Republic of China, by NewsRx correspondents, research stated, “In recent years, with the deepening of exploration and development theories for tig ht oil reservoirs and the continuous breakthroughs in key engineering technologi es, positive progress has been made in the development of onshore tight oil in C hina, it has become an important supplement to the growth of petroleum reserves and production. Therefore, identifying the main controlling factors of tight oil reservoir productivity and predicting this productivity are crucial for the dev elopment of petroleum resources.”
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