Sustainable Geoscience for Natural Gas SubSurface Systems

1. Pore-scale characterization and fractal analysis for gas migration mechanisms in shale gas reservoirs<br>2. Three-dimensional gas property geological modelling and simulation<br>3. Acoustic, density and seismic attribute analysis to aid gas detection and delineation of reservoir properties<br>4. Integrated microfacies interpretations of large natural gas reservoirs combining qualitative and quantitative image analysis<br>5. Brittleness index predictions from Lower Barnett shale well-log data applying an optimized data matching algorithm at various sampling densities<br>6. Shale kerogen kinetics from multi-heating rate pyrolysis modelling with geological time-scale perspectives for petroleum generation<br>7. Application of few-shot semi-supervised deep learning in organic matter content logging evaluation<br>8. Microseismic analysis to aid gas reservoir characterization<br>9. Coal-bed methane reservoir characterization using well-log data <br>10. Characterization of gas hydrate reservoirs using well logs and X-ray CT scanning as resources and environmental hazards<br>11. Assessing the sustainability of potential gas hydrate exploitation projects by integrating commercial, environmental, social and technical considerations<br>12. Gas adsorption and reserve estimation for conventional and unconventional gas resources<br>13. Dataset Insight and Variable Influences Established Using Correlations, Regressions and Transparent Customized Formula Optimization