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Sign Up For Our Upcoming GEOPRO Webinar

Fri, 16 December, 2022

We are holding a webinar on 28 February 2023 from 13:00-14:00 GMT to discuss a new geothermal flow assurance simulation software that will help push geothermal forward as a reliable source of energy.

Unlike some other renewable energy sources, geothermal is constantly available across the planet, offering a baseload supply with lower life cycle CO2 emissions than biomass of solar.

Geothermal power stations also have small footprints, yet geothermal only has 0.4% of the electricity market. This low share is primarily due to the associated costs from high CAPEX, drilling and the geothermal brine causing corrosion, erosion and scaling.

This webinar, presented by the founder of FlowPhys AS, Norway, Per Kjellgren will show how a new geothermal flow assurance software that leverages results and innovations from several large EU-funded geothermal research projects will help reduce costs.

The software, which is under development, will feature key innovations and findings from a number of H2020-funded research projects. These innovations include guidance for applying coatings to reduce erosion/corrosion/scaling (H2020 Geo-Coat), a scaling reduction system (H2020 GeoSmart), drilling operations and fluids (H2020 Geo-Drill), and an extended modelling capability of geofluids (H2020 GeoPro).

Flow assurance simulations and optimisations will lead to improved designs and operations that create significant cost reductions for geothermal energy production.

You can find out more and register for this online event, here.

The GEOPRO project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 851816

The Geo-Drill project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 815319

The GeoSmart project has received funding from the European Union's Horizon 2020 research and innovation programme grant agreement 818576

The Geo-Coat project was funded by the European Union’s H2020 research and innovation programme, Grant agreement, no. 764086