petroleum-industry

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mohammedbaqir01 / End_to_End_Lithology_Classification_from_Well_Logs_using_XGBoost

Machine learning project for lithology classification from well log data using XGBoost. Predicts Sandstone, Shale, and Limestone from petrophysical logs.

python data-science machine-learning scikit-learn xgboost geology drilling petrophysics petroleum-engineering lithology well-log drilling-engineering well-logging petroleum-industry petrophysics-upstream-midstream-downstream

Updated Aug 22, 2026
Jupyter Notebook

hoangnhi97kg / Hackles

Star

🔍 Identify Active Directory vulnerabilities and attack paths quickly with Hackles, a fast CLI tool featuring 166 security queries for effective assessments.

mysql python cli express sequelize cybersecurity pentesting document-management privilege-escalation github-config pymes attack-paths universidad-siglo21 petroleum-industry 2fa-authentication

Updated Sep 4, 2026
Python

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