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drilling-engineering

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

  • Updated Aug 22, 2026
  • Jupyter Notebook

Interactive incremental economic decision platform for Underbalanced Drilling (UBD) operations in depleted, clay-sensitive reservoirs. Covers delta-CAPEX breakdown, breakeven analysis, multi-scenario ROI, sensitivity modeling, and production gain validation. Built for petroleum engineering research and field investment justification.

  • Updated May 26, 2026
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