Smart India Hackathon 2026 | Problem Statement 121 (Oil India Limited)
Team: Craft Coders (#150072)
When drilling new offshore or onshore wells, encountering sudden high-pressure zones or unstable rock causes severe equipment damage and millions in Non-Productive Time (NPT). Historical hazard data exists in neighboring offset wells, but it is buried inside unstructured PDF reports (WCRs, DDRs).
eRTMAC-NWIS is a proactive intelligence platform that acts as a real-time GPS hazard warning system for drilling operations.
- Live Depth Telemetry Simulator: Tracks the active drill bit and issues proximity warnings based on historical offset disasters.
- RAG-Powered Drill-Site Copilot: An AI chatbot that instantly retrieves mitigation strategies from historical unstructured drilling reports.
- 3D Subsurface Trajectories: Visualizes underground well paths and Anti-Collision clearance using
react-plotly.js. - Financial NPT Quantification: Translates abstract risk percentages into hard financial exposure metrics (₹).
- Automated Pre-Spud Reports: Instantly generates and exports PDF hazard assessments.
- Frontend: React + Vite, Tailwind CSS, Recharts, Leaflet/Mapbox, Lucide-React.
- Backend: Python, FastAPI, SQLAlchemy.
- Database: PostgreSQL + PostGIS (Geospatial querying).
- AI/NLP: Tesseract OCR, spaCy, Retrieval-Augmented Generation (RAG).
- Clone the repo:
git clone https://github.com/YOUR_USERNAME/eRTMAC-NWIS.git - Start Backend:
cd backend->python -m uvicorn app.main:app --reload - Start Frontend:
cd frontend->npm install->npm run dev