Clean Energy Capability Portfolio | Storage Technologies |
GeoEngineering Research Laboratory
Using multiphysics theoretical , numerical and experimental modelling , to address geoengineering challenges related to geostorage and unconventional reservoir engineering . Additionally , the development of methods , software and tools for formation characterisation , in-situ stress estimation and mapping , AI applications in geotechnical-geological context and near borehole geomechanics . |
Competitive Advantage • Geophysical-driven formation characterisation
• Near borehole geomechanics
• In-situ stress estimation and mapping
• AI applications in geotechnical / geology field
• THMC experimental and computational modelling with applications in geostorage and unconventional reservoir engineering
• Rock mechanics / geomechanics testing
Impact • Advanced multiphysics geomechanics techniques and tools for complex geotechnical problems in mining , petroleum , as well as civil engineering and infrastructure
Successful Applications |
Capabilities and Facilities Well-equipped geomechanics laboratory with advanced equipment such as :
• Servo-controlled systems
• X-ray transparent high-pressure-high temperature triaxial systems with ultrasonic and permeability enabled capabilities
• High-pressure-high temperature ultrasonic system with mid-to-high sinusoidal and square wave frequency input
• Micro-shear cell interferometry-optometry and gas adsorption systems
• High-speed infrared cameras and nanoindentation tester
More Information Associate Professor Hamid Roshan
School of Minerals and Energy Resources Engineering
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• Develop multiphysics geomechanics software for coupled gas flow – geomechanics modelling ( e . g ., NetCoal , NetShale ) |
T : + 61 2 9385 5535
E : h . roshan @ unsw . edu . au
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• Geomechanical investigation of CO2 geological storage |
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• In-situ stress characterisation using developed tools and software , such as DilaStress , BLASE , iStress and 3DiStress |
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• Advanced geotechnical laboratory testing |
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• Data-driven rock mass characterisation using downhole geophysical logs |
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