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I Built a Pipeline Simulator Game (React Flow + Python FastAPI) #buildinpublic #aiagents #coding
How do you route volatile oil and gas mixtures through miles of pipeline network without hitting high-pressure bottlenecks and stalling production?
You don't just add a bigger compressor. You build a dynamic hydraulic solver.
In this video, I'll show you how I built a Pipeline Simulator Game from scratch—complete with pressure drops, multiphase flow friction, and an AI solver that manages system bottlenecks in real time.
WANT THE CODE VIDEO?
If you want a deep dive into the engineering math, Flask/FastAPI backend, and how I mapped the hydraulic equations into Python code—drop a comment with the word CODE!
━━━━━━━━━━━━━━━━━━━━━━━━
FROM TEXTBOOK TO DIGITAL TWIN
━━━━━━━━━━━━━━━━━━━━━━━━
Static hydraulic charts in textbooks don't teach you the chaos of real pipeline operations. As fluid flows, friction eats away at pressure, gas expands, and liquid drops out, creating chaotic multiphase blockages. I built this simulator to make those physics interactive.
🔹 Level 1: The Friction Problem
Calculate frictional pressure drop manually. Adjust flow rates across single-phase and multiphase pipelines while staying below the pipe's maximum operating pressure (MAOP).
🔹 Level 2: The Loop Network Bottleneck
Balance pressures across multiple converging lines. A single high-volume well can block the flow of three others if you route them wrong.
🔹 Level 3: AI-Driven Compressor Routing
The system expands with dynamic compressors and regulators. Let the Python solver run optimization loops to autonomously route flows, bypass throttles, and maximize throughput while avoiding liquid slugging.
━━━━━━━━━━━━━━━━━━━━━━━━
THE TECH & PHYSICS STACK
━━━━━━━━━━━━━━━━━━━━━━━━
⚙️ Backend: Python/FastAPI using the Darcy-Weisbach equation and Beggs & Brill correlation for multiphase pressure drops.
💻 Frontend: React.js & React Flow for drag-and-drop piping, nodes, and real-time hydraulic visualization.
🤖 AI Solver: Python-based optimization engine running flow balancing algorithms, guided by a Gemini-powered "Hydraulics Assistant."
LINKS
▶ Play: https://assetizers.com/engineering-se...
▶ Subscribe to follow the build: / @draftsbysalman
#processengineering #chemicalengineering #draftsbysalman #fluiddynamics #aioptimization #python #reactjs #digitaltwin #buildinpublic
Видео I Built a Pipeline Simulator Game (React Flow + Python FastAPI) #buildinpublic #aiagents #coding канала Drafts By Salman
You don't just add a bigger compressor. You build a dynamic hydraulic solver.
In this video, I'll show you how I built a Pipeline Simulator Game from scratch—complete with pressure drops, multiphase flow friction, and an AI solver that manages system bottlenecks in real time.
WANT THE CODE VIDEO?
If you want a deep dive into the engineering math, Flask/FastAPI backend, and how I mapped the hydraulic equations into Python code—drop a comment with the word CODE!
━━━━━━━━━━━━━━━━━━━━━━━━
FROM TEXTBOOK TO DIGITAL TWIN
━━━━━━━━━━━━━━━━━━━━━━━━
Static hydraulic charts in textbooks don't teach you the chaos of real pipeline operations. As fluid flows, friction eats away at pressure, gas expands, and liquid drops out, creating chaotic multiphase blockages. I built this simulator to make those physics interactive.
🔹 Level 1: The Friction Problem
Calculate frictional pressure drop manually. Adjust flow rates across single-phase and multiphase pipelines while staying below the pipe's maximum operating pressure (MAOP).
🔹 Level 2: The Loop Network Bottleneck
Balance pressures across multiple converging lines. A single high-volume well can block the flow of three others if you route them wrong.
🔹 Level 3: AI-Driven Compressor Routing
The system expands with dynamic compressors and regulators. Let the Python solver run optimization loops to autonomously route flows, bypass throttles, and maximize throughput while avoiding liquid slugging.
━━━━━━━━━━━━━━━━━━━━━━━━
THE TECH & PHYSICS STACK
━━━━━━━━━━━━━━━━━━━━━━━━
⚙️ Backend: Python/FastAPI using the Darcy-Weisbach equation and Beggs & Brill correlation for multiphase pressure drops.
💻 Frontend: React.js & React Flow for drag-and-drop piping, nodes, and real-time hydraulic visualization.
🤖 AI Solver: Python-based optimization engine running flow balancing algorithms, guided by a Gemini-powered "Hydraulics Assistant."
LINKS
▶ Play: https://assetizers.com/engineering-se...
▶ Subscribe to follow the build: / @draftsbysalman
#processengineering #chemicalengineering #draftsbysalman #fluiddynamics #aioptimization #python #reactjs #digitaltwin #buildinpublic
Видео I Built a Pipeline Simulator Game (React Flow + Python FastAPI) #buildinpublic #aiagents #coding канала Drafts By Salman
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10 июня 2026 г. 23:50:53
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