Building intelligent systems that combine deterministic well engineering models with AI-driven analysis
I'm an AI & Engineering Automation Developer specializing in drilling engineering and well construction optimization. I build tools that reduce engineering workload, generate operational insights automatically, and make well construction decisions safer and faster.
Creator of DEPRO Expert Analysis โ a comprehensive suite for:
- ๐ง Torque & Drag modeling and simulation
- ๐ Packer setting force calculations
- ๐๏ธ Liner cementing job design
- โก Real-time AI interpretation of complex drilling results
- Deterministic Well Modeling: Soft-string torque & drag engines, axial load analysis
- AI-Driven Analysis: Automated interpretation of drilling engineering results
- Engineering Automation: Building systems that replace manual calculations with intelligent workflows
- Computational Methods: CFD, numerical simulation, finite difference schemes
Advanced well construction planning tool with AI-powered analysis
A production-ready TypeScript/React application for drilling engineers to design and optimize liner cementing operations.
Key Features:
- ๐ Comprehensive torque & drag modeling (soft-string mechanics)
- ๐ฏ Packer setting force simulation and safety factor calculation
- ๐งฎ Real-time cement job volume calculations
- ๐ค AI-powered analysis with Gemini integration
- ๐ 3D well path visualization with interactive charts
- ๐ Professional PDF report generation with jsPDF
Tech Stack: TypeScript, React, Remotion, Gemini AI, Lucide Icons
Computational Fluid Dynamics: Laminar Boundary-Layer Theory
Published research code repository demonstrating numerical solutions to fundamental fluid dynamics problems.
Features:
- Blasius, Hiemenz, Homann, and Falkner-Skan flow equations
- Finite difference scheme implementation
- Thomas algorithm for linear system solving
- Comparative analysis with published data
Publication: Oz, F.; Kara, K. A CFD Tutorial in Julia: Introduction to Laminar Boundary-Layer Theory. Fluids, 2021.
const currentFocus = {
building: "Deterministic well engineering models with AI interpretation",
improving: "Real-time torque & drag analysis accuracy",
exploring: "Multi-agent AI systems for drilling optimization",
goal: "Make well construction decisions safer, faster, and data-driven"
};๐ Working on: Advanced packer force modeling and cement displacement efficiency optimization
๐ค Learning: Multi-agent AI orchestration for complex engineering workflows
๐ก Open to: Collaborations on drilling engineering automation and AI-powered analysis tools


