Geophysics Computing Lab Selected for Digital Global Talent Nurturing Project

[Jeonju=GeoVis] The Geophysics Computing Lab at Jeonbuk National University has been selected for the 'Digital Global Talent Nurturing Project', accelerating its efforts to cultivate talent in key future technology fields.

This project, with Professor Ju-Won Oh as the principal investigator, is titled 'Global Human Resources Development Project for Innovation in Smart CO2 Storage Operation through Convergence of Artificial Intelligence and Digital Twin'. It will receive a total research fund of 680 million won from April 1, 2024, to December 31, 2026. Through this, the project plans to select 3 master's/PhD level students annually, totaling 9 students, and support their long-term overseas dispatch for more than 6 months.

The three global projects to be promoted through this initiative are as follows:

• USA (Qualcomm Institute): Development of AI Core Technologies

  • Year 1: Securing deep learning technology for improving performance in resource engineering/spatial information data processing
  • Year 2: Developing new deep learning technologies for improving performance in resource engineering/spatial information data processing, and new deep learning technologies for enhancing digital twin efficiency
  • Year 3: Improving accuracy of deep learning technology for smart CO2 underground storage operation, and enhancing efficiency of deep learning technology for smart CO2 underground storage operation

• Canada (University of Calgary): Development of AI-based Spatial Information and Geophysical Data Interpretation Technologies

  • Year 1: Developing deep learning-based smart pipe monitoring technology, and deep learning-based surface spatial information and geophysical data interpretation technology
  • Year 2: Developing new deep learning-based surface spatial information and geophysical data interpretation technologies
  • Year 3: Improving applicability of deep learning-based surface spatial information and geophysical data interpretation technologies

• Norway (Norwegian Geotechnical Institute): Development of AI-based Digital Twin Efficiency Enhancement Technologies

  • Year 1: Developing digital twin efficiency enhancement technology using multi-GPU
  • Year 2: Developing digital twin efficiency enhancement technology through network performance improvement
  • Year 3: Improving applicability of deep learning-based digital twin efficiency enhancement technology

Professor Ju-Won Oh stated, "Through the selection of this project, our lab will strive to establish itself as a hub for cultivating global talent in the digital field and contribute to the development of future energy technologies."