[PDF][PDF] 数智流体力学的发展及油气渗流领域应用
宋洪庆， 都书一， 王九龙， 劳浚铭， 谢驰宇 - 力学学报, 2023 - lxxb.cstam.org.cn
大数据及人工智能技术的崛起推动了数智流体力学的快速发展. 数智流体力学是将流体力学,
大数据和人工智能相结合, 以流体力学场景需求为导向, 形成以“数” 为基础, 以“智” 为核心 …
大数据和人工智能相结合, 以流体力学场景需求为导向, 形成以“数” 为基础, 以“智” 为核心 …
[PDF][PDF] Development of digital intelligence fluid dynamics and applications in the oil & gas seepage fields
S Hongqing, D Shuyi, W Jiulong… - Chinese Journal of …, 2023 - lxxb.cstam.org.cn
The growth of big data and artificial intelligence technologies has driven the rapid
development of digital intelligence fluid mechanics. Digital intelligence fluid mechanics …
development of digital intelligence fluid mechanics. Digital intelligence fluid mechanics …
Convolutional Long Short-Term Memory (convLSTM) for Spatio-Temporal Forecastings of Saturations and Pressure in the SACROC Field
A machine learning architecture composed of convolutional long short-term memory
(convLSTM) is developed to predict spatio-temporal parameters in the SACROC oil field …
(convLSTM) is developed to predict spatio-temporal parameters in the SACROC oil field …