摘要
由一名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-关于机器学习的详细数据已经呈现。根据NewsRx记者在中华人民共和国上海的新闻报道，研究表明，“随着石油工业不断开发低渗透、低孔隙度非常规油藏，准确预测裂缝后产量对于投资决策、能源政策制定和环境影响评估至关重要。然而，尽管进行了广泛的研究，利用测井数据准确预测裂缝后产量仍然是一个复杂的挑战。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “As the petroleum industry incre asingly exploits unconventional reservoirs with low permeability and porosity, a ccurate predictions of post-fracture production are becoming critical for invest ment decisions, energy policy development, and environmental impact assessments. However, despite extensive research, accurately forecasting post-fracture produ ction using well-log data continues to be a complex challenge.”
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