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GeoTGo helps you to understand the geothermal resources at the heart of your project.

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Geothermal is under our feet!

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Geothermal is “homegrown”, offering a domestic source of reliable, renewable, and “green” energy.

Geothermal energy is available 24 hours a day, 365 days a year, regardless of weather.

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GeoTGo discovers the hidden treasures beneath the surface, giving your project the certainty it needs to succeed.

GeoTGo uses ML to help to analyze and process data charecterzing geothermal conditions.

GeoTGo supports alternative geothermal uses: heating, cooling, recreation, energy storage, electricity production.

GeoTGo is equitable and inclusive tool for community-based geothermal development

GeoTGo is designed to:

  • provide everything needed by communities to better understand and develop geothermal resources
  • bridge the gap between technology advancements and community needs
  • utilize cloud-computing artificial intelligence and machine learning (AI/ML) tools
  • facilitate the interactions between the geothermal industry, regulators, stakeholders, and end-users
  • merge data, computational methods, knowledge, expertise, and experience.
  • provide fast processing and dissemination of geothermal information to users and communities
  • help understanding and predicting complex subsurface processes associated with exploration and utilization of geothermal energy
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GeoTGo motivation:

  • Geothermal exploration and production are challenging, expensive, and risky.
  • Diverse datasets are available (public and proprietary, satellite, airborne surveys, sampling, geological, geophysical, etc.); howwever, they are challenging to process and assimilate in geothermal models.
  • How to utilize these datasets for geothermal exploration and production is unknown due to an imperfect understanding of how:
    • physical geothermal processes impact subsurface conditions.
    • geothermal subsurface conditions are represented in observations.

GeoTGo has been applied to process multiple geothermal datasets covering Nevada, Utah, California, Oregon, Idaho, New Mexico, Texas, and Hawaii, all of which are geothermal hubs in the United States.

GeoTGo is available online, allowing users to define a location, choose the number of clusters and iterations, which affect processing costs, and upload datasets. Outputs are maps, charts, plots showing a desired feature, and relationships between geothermal features.

GeoTGo utilizes cloud computing and data management (both public and proprietary). GeoTGo is licensed as a Software-as-a-Service (SaaS).  Our company provides consulting and support.

GeoTGo is developed in Julia. Various tutorials and examples are available on the GeoTGo website and on our GitHub pages. They will allow users to get started with GeoTGo quickly.