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well-data

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imtej / Lithofacies-Classification-using-ML-Techniques

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Lithofacies classification using well log data from the Hugoton and Panoma Fields dataset. This project implements various machine learning algorithms including Support Vector Machines, Random Forest, Neural Networks, and others to predict facies groups. The study focuses on improving facies classification accuracy using well log data from 9 well.

machine-learning neural-network random-forest svm scikit-learn supervised-learning reservoir-characterization facies facies-classification lithofacies-classification well-data subsurface-modeling
  • Updated Sep 23, 2024
  • Jupyter Notebook

api-evangelist / enverus

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Enverus — independent third-party profile of a public API surface, by API Evangelist. Enverus is an energy-dedicated SaaS company providing analytics, market intelligence, and workflow automation across the global energy value chain — oil and gas, power and renewables, minerals, midstream, trading and risk, and financial services.

energy company analytics saas energy-data market-intelligence oil-and-gas apis-json directaccess well-data trading-and-risk
  • Updated Sep 1, 2026

api-evangelist / drillinginfo

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Drillinginfo — independent third-party profile of a public API surface, by API Evangelist. Drillinginfo (now Enverus) is an Austin, Texas energy-technology company that provides AI-powered analytics and the most comprehensive dataset across oil and gas, power, renewables, and financial markets.

data energy company analytics geospatial developer-api oil-and-gas apis-json energy-intelligence production-data well-data
  • Updated Sep 1, 2026

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