Identifying attractive geothermal sites by combining geoscience and market factors with geospatial machine learning analytics.
Geothermal energy is playing a growing role in the energy transition to net zero. It offers a massive resource of sustainable low-carbon baseload energy, much of which has been stored deep within the earth for billions of years. But it is still vastly underexploited.
While solar and wind energy are commercially and technically well understood, geothermal projects can be complex and are highly specific to their local context. This requires a special kind of expertise. Geothermal developments also have sensitive profit margins and need a local market, so early integration with the right energy demand information is critical to make projects viable.
Our Heat Seeker™ solution considers a wide range of factors that combine to make a geothermal resource attractive, including not just technical geoscience considerations but also commercial and social factors that drive energy supply and demand.
In this Story Map we discuss a case study where we used Heat Seeker™ to pinpoint favourable locations for geothermal energy developments in South America.
The case study demonstrates how geospatial analysis and machine learning, coupled with comprehensive data sets covering potential supply and demand, can provide unique insights and understanding for policy makers, investors, operators and stakeholders.
To find out how Heat Seeker™ and Getech can help your geothermal projects, please get in touch.