Associate Professor Zhongwei Chen

Associate Professor Zhongwei Chen is a researcher at The University of Queensland, School of Mechanical and Mining Engineering. His research focuses on geological storage of hydrogen, mining geomechanics, reservoir geomechanics, and machine learning applications in mining and natural gas fields. His work includes interdisciplinary research on geo-energy and geo-resources, with specific interests in high-stress and high-temperature mining conditions, unconventional gas recovery, and advanced computational modeling. He is affiliated with the Centre for Multiscale Energy Systems and Future Autonomous Systems and Technologies. His teaching includes courses on geotechnical design, mining geomechanics, and resources geomechanics.

Zhongwei Chen is an Associate Professor specializing in Reservoir Geomechanics, Mining Geotech, and Machine Learning. His research focuses on the interactions of multiple processes during coalbed methane (CBM) extraction, including the dual poroelastic response of coal seams to CO2 injection and the modeling of enhanced CBM recovery using CO2/N2 mixtures. He investigates the evolution of coal permeability under stress-controlled and displacement-controlled conditions, as well as the impact of sorption-induced strain and effective stress coefficient on permeability changes. Chen also explores the effects of non-Darcy flow on coal seam gas well performance and the application of machine learning techniques, such as extreme gradient boosting (XGBoost), for data analysis in geotechnical and reservoir engineering.