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  • šŸ‘‹ Hi, Iā€™m @Skipper6931
  • šŸ‘€ Iā€™m interested in ... visualization of oil and gas data
  • šŸŒ± Iā€™m currently learning ... Machine Learning
  • šŸ’žļø Iā€™m looking to collaborate on ... Emerging low carbon foot print technologies such as Hydrogen, CCUS
  • šŸ“« How to reach me ...on this platform

skipper6931's Projects

gas_market icon gas_market

(http://ceur-ws.org/Vol-2611/paper2.pdf) Open-domain Event Extraction and Embedding for Natural Gas Market Prediction

machine-learning-oil-gas-industry icon machine-learning-oil-gas-industry

Source Code for 'Machine Learning in the Oil and Gas Industry' by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, and Luigi Saputelli

open-geoscience-repository icon open-geoscience-repository

Open geoscience datasets available in open databases from Google Drive, SEG Wiki, and US DoE Geothermal Data Repository OpenEi

opendata icon opendata

KAPSARC OpenData has energy critical datasets for sixteen themes namely Crude Oil & Refined Products, Natural Gas, Coal, Renewable & Alternative Fuels Nuclear, Oil & Gas, Electricity, Coal, Nuclear, Transportation, Industry, Residential, Agriculture Electricity, Environment, Economy, Demography, Trade, Water and Policies.

pythonnumericaldemos icon pythonnumericaldemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

t21-tutorial-welltestanalysis icon t21-tutorial-welltestanalysis

Notebooks and sample data for geothermal well test analysis tutorial given during the Software Underground 2021 unconference

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