Simulating and Assessing Carbon Markets: Application to the Korean and the EU ETSs.

Data-Driven Machine Learning Models for the Prediction of Hydrogen Solubility in Aqueous Systems of Varying Salinity: Implications for Underground Hydrogen Storage.

Stochastic Lithofacies and Petrophysical Property Modeling for Fast History Matching in Heterogeneous Clastic Reservoir Applications.

Numerical Investigation of CO2-Carbonated Water-Alternating-Gas on Enhanced Oil Recovery and Geological Carbon Storage.

Machine-Learning-Based Prediction of Oil Recovery Factor for Experimental CO2-Foam Chemical EOR: Implications for Carbon Utilization Projects.

Multi-Lateral Horizontal Well with Dual-Tubing System to Improve CO2 Storage Security and Reduce CCS Cost.

Research on the Generation of High-Resolution Logging Data using a Deep-Learning Algorithm.

Generation of Synthetic Compressional Wave Velocity Based on Deep Learning: A Case Study of Ulleung Basin Gas Hydrate in the Republic of Korea.

Compressional Wave Velocity Based on Deep Learning: A Case Study of Ulleung Basin Gas Hydrate in the Republic of Korea.

Applicability Analysis on Estimation of Spectral Induced Polarization Parameters Based on Multi-objective Optimization.