Projects
Cooper-Eromanga Prospectivity Studies
The Cooper-Eromanga Basin is Australia’s premier onshore hydrocarbon province. The combination of high quality oil, low exploration & extraction costs and attractive fiscal regime contribute to a high net-back on production, making it an ideal investment destination. The SA & QLD state regulators govern industry-leading data transparency and open access policies, enabling regional prospectivity studies to be developed by external service providers.
Geomorph Energy holds a comprehensive subsurface database of 3D seismic and well data spanning the entire basin and are applying the latest technologies and interpretation workflows to generate new play concepts and exploration ideas. Despite the basin’s long history, exploration is still relatively immature when considering the diversity of play types outside of traditional dip-closed structural traps.
We are growing a portfolio of regional prospectivity studies, applying:
- Advances in seismic processing, visualisation & interpretation technology to image subtle geology and develop new stratigraphic play concepts.
- A pre-stack inversion workflow for characterising reservoir variability to identify upside and missed opportunities within valid structures.
CleanTech & Renewable Energy
In addition to geoscience consulting for oil & gas, Geomorph Energy is actively researching and developing new ideas, business models and technologies to support a future energy mix, powered primarily by renewables.
Predictive Analytics
Tradewind loT Windlogger
Predictive Analytics
As more renewables enter the energy mix, greater strain is placed on the electricity grid. We are evaluating business opportunities in data management and analytics to predict prices in Australia’s National Electricity Market (NEM)
South Australia’s power prices are the highest, most volatile in the country, partly due to the high contribution of intermittent renewable power generation. Negative pricing and market limit events are common, increasing the risks to generators and other market participants. Risk management costs are ultimately passed on to retail consumers. Better prediction of renewable generation can help to stabilise the grid and lower costs to stakeholders.
Tradewind loT Windlogger
The Tradewind concept leverages a network of low-cost, cloud-connected micro infrastructure installed in the vicinity of established wind farms. It uses machine learning techniques to produce high resolution, real-time meteorological models for monitoring and predicting wind resources at wind farms. Our goal is to aggregate generator-specific insights into a region-wide predictive model to support energy arbitrage and FCAS opportunities in the wholesale spot electricity market.
Our approach utilizes low-cost internet of things (IoT) technology and aims to provide a tangible, proprietary data service to complement existing weather and market operator data services.
Our first pilot test deployed 2x “Tradewind IoT windlogger” prototypes to record wind speed, wind direction, barometric pressure, relative humidity and ambient temperature for 13 hours over 2 consecutive days during summer. The successful test confirmed a high correlation to nearby official station windspeed readings, with a significant uplift in temporal resolution at the windfarm site.
Site windspeed was sampled every 10 seconds and shows a lagged positive correlation with power generation at the adjacent wind farm. Further work is required to correct for vertical wind shear, spatial variations in surface roughness & topography and changes in prevailing wind direction to extrapolate our predictions to generator hub height.
Geomorph Energy are actively developing this technology and seeking collaboration with like-minded entrepreneurs and specialists in numerical weather prediction, meteorology, IoT and data science. If you are interested in collaborating, please get in touch!