Data Fusion and Machine Learning

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The resulting information and software can be used to improve exploration, discovery and characterisation methods for targeted geothermal exploration. Geoscience Australia estimates that 1% of Australia’s geothermal energy could supply the nation’s annual requirements for 26,000 years.Geothermal energy is based on the tapping of heat (or thermal) energy from rocks and water deep beneath the earth’s surface. It has the potential to be a viable energy solution for Australia as it is abundant and renewable, has a relatively low environmental footprint, and is a source of constant energy.The aim of geothermal exploration and discovery is to determine where the best future sources of geothermal energy (or target sites) are located. This is of particular interest because exploration data is expensive and information sources are sparse.

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