e世博线上娱乐-注册娱乐城送彩金-盛大娱乐场开户注册

學(xué)術(shù)動(dòng)態(tài)

學(xué)術(shù)動(dòng)態(tài)

20230505 Data Driven Based Artificial Intelligent for Carbon Capture Utilization and Storage

供稿:校園網(wǎng)        編輯:宋艾玲        審核:趙玉龍        日期:2023年05月03日        瀏覽:

時(shí)  間:202355日(周五)10:00-11:00

騰訊會(huì)議:744-644-796(掃碼入會(huì))

報(bào)告題目:Data Driven Based Artificial Intelligent for Carbon Capture Utilization and Storage

報(bào) 告 人:Dr. Vo Thanh Hung Associate Professor(范朗大學(xué))

報(bào) 告 人:Dr. Vo Thanh Hung was a Brain Pool fellow for outstanding oversea researcher at Seoul National University funding by Korea Government. His research interest is reservoir modelling, underground gas storage and data-driven based statistical machine learning. He has published more than 45 SCI/SCIE research papers and is an associate editor of Journal of Petroleum Exploration Production Technology. He is also a guest editor of several SCI/SCIE journals in the field of geological modelling, machine learning, AI and Energy research.

歡迎全校師生參加!

油氣藏地質(zhì)及開(kāi)發(fā)工程全國(guó)重點(diǎn)實(shí)驗(yàn)室

石油與天然氣工程學(xué)院

科學(xué)技術(shù)發(fā)展研究院

SPE成都分會(huì)SPWLA西南分會(huì)

上一條:20230524 全國(guó)重點(diǎn)實(shí)驗(yàn)室2023年全國(guó)科技活動(dòng)周學(xué)術(shù)報(bào)告系列專(zhuān)家論壇二:Reservoir-on-a Chip Micromodels Tiny Tools for A Big Industry 下一條:20230505 The Role of Pore-Scale Physics in CO2 Trapping and Migration in Geologic Formations

關(guān)閉