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geothermal-energy

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This repository contains a collection of user-friendly tutorials and guides for working with the Siting Lab data within the context of the reV model. The python code examples demonstrate the creation and transformation of Siting Lab data into reV compliant format as well as working with the reV model inputs and outputs.

  • Updated Jan 22, 2025
  • Jupyter Notebook

Let’s explore something interesting together. In this project, we developed a machine learning digital twin using Intel-optimized XGBoost and daal4py to simulate and optimize the Rate of Penetration (ROP) in geothermal drilling. We leveraged SHAP for Explainable AI (XAI) to interpret model predictions.

  • Updated Nov 1, 2024
  • Jupyter Notebook
2021_GTXdatathon

Repurposing oil and gas wells for geothermal energy production to generate value from abandoned wells across the world and dramatically improve geothermal economics. By identifying sites from thousands of wells and millions of data points and combine oil and gas with geothermal data, to generate the necessary and actionable insights to help solv…

  • Updated Jul 25, 2021
  • Jupyter Notebook

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