The University of Queensland’s Centre for Coal Seam Gas (CCSG) was established at the end of 2011 by UQ, QGC, Santos and Arrow Energy to conduct and coordinate research on the technical and social challenges associated with CSG. In 2014, APLNG joined the Centre and all major CSG operators are now fully on board.
The Centre, together with representatives of the industry members, Queensland State regulator, and several project specific advisory groups work collaboratively with many academic partners to further CSG science.
Since its formation four years ago, the Centre has focused on developing a broad portfolio of research projects to address the demand for new and improved scientific knowledge. The research program is balanced across four main themes: Water, Social Performance, Geoscience and Petroleum Engineering, each lead by a professorial Chair.
As of the end of 2016, we have 33 current research projects and have allocated over $14 million in research funding, in addition to four co-funded professorial chairs. These projects draw on the expertise of more than 50 researchers from 18 UQ schools and research centres as well as collaborators from other Australian and major international research institutions. Within this, we have 27 PhDs and MPhils associated directly with CCSG funded projects and over 20 more across UQ engaged in research closely related to the onshore gas industry.
At the end of 2016, the Centre held its annual Research Review, an event which showcases the breadth of our research projects to an audience of industry, government, university and community stakeholders. This book reproduces the scientific posters that were displayed on the day providing an overview of the objectives, outcomes and key finding to date of our research at UQ.
The posters display the work of CCSG research teams, PhD students working on CCSG funded projects as well as several independent PhD students researching CSG related issues.
Professor Andrew Garnett, Director
Posters from the Centre Research Review 2016
Chair – Professor Jim Underschultz
The Centre’s water related research addresses the impacts of CSG extraction on groundwater and surface water resources; the hydraulic connectivity of coal seam and agricultural aquifers; and the development of adaptive water and environmental management strategies.
- Characterisation of current groundwater uses in the Surat and Bowen Basins
- Recharge Estimation in the Surat Basin - Stage 3a Data Analysis
Chair – Associate Professor Will Rifkin
The Centre seeks to provide new knowledge to help government and industry manage social and economic impacts at a regional scale, develop strategies that enhance the social performance capacity of the industry and deliver positive, long-term development outcomes for communities impacted by CSG. Researchers design and apply innovative community engagement methodologies, examine issues associated with the management of cumulative impacts and develop evidence-based contributions to policy debate about the regulation of the sector.
- Agriculture and CSG
- Evaluation of Science Enrichment Programs
- Indicators Maintenance & Reporting
- Understanding Stakeholder Trust in Queensland's Coal Seam Gas Industry
- Female Business Operators Experiences and Perceptions of CSG Development
- A Dust Management Program
- The governance of hydraulic fracturing in unconventional resources: the elements, form and effectiveness of the regulation
Chair – Professor Brian Towler
Research in the area of Petroleum Engineering includes aspects of reservoir characterisation, development and dynamic behaviour, drilling, well completions as well as stimulation and enhancement technologies. Other research examines aspects of the techno-economics of gas exploitation and recovery and field related engineering including optimisation, process control and site rehabilitation.
- Chemical oxidant stimulation of coal seams to increase coal seam permeability
- Plugging and Abandonment of CSG Wells with Bentonite
- A packed bed methodology to study the effect of coal surface wettability on relative permeability using a steady-state core flooding apparatus
- Mathematical modelling of wellbore pressure profiles in CSG wells
- Advanced Environmental Technologies for Coal Permeability Enhancement
- Pulse Arc Electohydraulic Discharge Stimulation of Coal Seam Interburden for Gas Development
- Effects of nanoparticles on clay stabilisation and coal permeability
Chair – Professor Stephen Tyson
The Centre’s significant expertise in geoscience includes geology, geophysics and geochemistry. Research is seeking to provide new knowledge on basin analysis and characterisation, the origins of coal seam gas, exploration targeting within the geological setting, and natural factors that establish the nature of the reservoir for CSG.
- Hyperspectral stratigraphy and provenance of the Walloon Subgroup, Surat Basin, Queensland
- Palynology of the Jurassic Cretaceous transition, Surat Basin
- Complementing coal seam gas facies modelling workflows with decompaction based processes
- A study of fracture characterisation in the SE Surat and NW Clarence-Moreton Basins
- Improved Flow Modelling through integrated Sequence Stratigraphic Correlations - Lauren CSG Field, Walloon Subgroup, Surat Basin
- Faults and Fractures in the Surat Basin: A Seismic Perspective
- Stratigraphic controls on distribution of facies in the Hermitage and Coxon Creek CSG Fields, Walloon Subgroup, Surat Basin
- Developing a synthetic grid block model for coal seams in the Surat Basin
- Geometry and Distribution of Channel and Coal in Walloon Coal Measures, Surat Basin, Australia
- Can Decompaction Increase the Predicting Accuracy for Depositional Facies in Geological Modelling?
- Application of Multiple-point Statistics and Image Logging Data in Modelling Coal Cleats Distribution
- In-situ Stress and Fracture Controls on Permeability Distribution within Walloon Subgroup, Surat Basin
- Structural influence on in-situ stress and fracture variability within Walloon Subgroup, Surat Basin
- Re-adjusting paleodrainage in the Surat Basin infill from new data
- Surrogate models via Polynomial Chaos Expansions