Dr. JingQu | Coalbed methane | Best Researcher Award
School of Resources and Geosciences, China University of Mining and Technology, China
Dr. Jing Qu is a dedicated researcher in the field of geological resources, focusing on coalbed methane, coal reservoir characterization, and multi-field coupled seepage behavior. His research interests include gas content correction in deep coalbeds, CT-based digital core processing, and small-scale percolation equipment for laboratories. Dr. Qu has published influential studies in journals such as Energy, Fuel, and AAPG Bulletin, contributing to advancements in methane release and water saturation variation. 🌍📊🔬
Publication Profile
Education and Academic Background 🎓
Dr. Jing Qu is currently pursuing a Ph.D. in Geological Resources and Engineering at China University of Mining and Technology (CUMT) in Xuzhou, China, through a combined Master-Doctor program (2022-Present). Prior to this, he earned his M.S. in Mineral Prospecting and Exploration from CUMT (2020-2022). He also holds a Bachelor’s degree in Mineral Prospecting and Exploration from the same institution (2016-2020). Dr. Qu’s academic journey at CUMT has shaped his expertise in geological resources and coalbed methane, laying a solid foundation for his cutting-edge research. 📚🌍
Research Interests 🔬
Dr. Jing Qu’s research focuses on several key areas related to coalbed methane and coal reservoirs. He is particularly interested in developing correction methods for gas content in deep coalbed methane. Additionally, his work involves studying the adsorption-desorption characteristics of coal reservoirs and exploring multi-field coupled seepage behaviors using CT imaging techniques. He also conducts digital core processing of CT data from coal samples, advancing the understanding of coal reservoir dynamics. Another important aspect of his research is the construction of small-scale percolation equipment for laboratory experiments, contributing to more precise experimental analysis. 🛠️🌍
Publications Top Notes 📚
- Characteristics, mechanism, and prediction model of water saturation variation during gas and water interaction in deep coal reservoirs – Energy, 2025 🔬
- Variations of CH4 release pathways and processes in progressively pulverized coals: Insights from multi-fractal analysis and experimental validation – Fuel, 2025 🌍
- Characteristics of fractures in different macro-coal components in high-rank coal based on CT images – Natural Gas Industry, 2022 🏭
- The analysis of the micro-occurrence state of irreducible water in anthracite fracture network based on digital core – AAPG Bulletin, 2023 🔍
- Characteristics of a Multi-scale Fracture Network and Its Contributions to Flow Properties in Anthracite – Energy & Fuels, 2021🌱