🌊 SubseaAI — Real-Time Pipeline Leak Detection (<15s) AI system that detects and localizes subsea oil & gas pipeline leaks in seconds using multi-sensor fusion. 🚨 Problem Subsea pipelines represent a $5.8T global infrastructure. Leaks cause $10B+ annual losses and severe environmental damage. Current detection: Manual ROV inspection Takes hours to days 👉 Critical issue: Detection is too slow 💡 Solution SubseaAI continuously monitors pipelines and detects leaks in <15 seconds. It combines 4 sensor modalities: Thermal (FBG + DTS fiber optics) Acoustic (hydrophones) Pressure Then applies AI fusion + physics models to: Detect leaks Estimate location Predict severity ⚙️ How It Works (Simple) Sensors stream real-time data Physics models simulate leak behavior AI detects anomalies across all signals Fusion engine confirms leak probability System outputs: Leak detected Location (km) Severity level 🧠 Key Innovation Multi-Modal AI Fusion Uses: entity["scientific_concept","Dempster–Shafer theory","evidence fusion method"] for combining sensor evidence entity["scientific_concept","Kalman filter","state estimation algorithm"] for leak tracking entity["scientific_concept","Isolation Forest","anomaly detection algorithm"] for anomaly detection 👉 Result: Higher accuracy than single-sensor systems 🧪 Live Demo ✔ Inject leak at any pipeline location ✔ System detects anomaly in real time ✔ Dashboard shows: Probability of leak Node location Alert severity 🏗️ Architecture Physical Layer (Simulated): 100 km pipeline 100 nodes 64 FBG sensors/node DTS fiber (temperature profile) Hydrophones + pressure sensors Software Layer: FastAPI backend (real-time API + WebSocket) AI detection engine Digital twin prediction model Live dashboard (heatmap + alerts) 🔬 Technical Highlights Thermal plume modeling (Gaussian dispersion) Acoustic leak signature (1/r² propagation) Pressure drop modeling (Bernoulli equation) Real-time anomaly detection Kalman-based localization 🌍 Real-World Impact Prevents $100M+ loss per major leak Reduces detection time from hours → seconds Applicable to: Offshore oil & gas Industrial pipelines Smart infrastructure monitoring ⚠️ Note This is a high-fidelity simulation of a real deployment system, including: Sensor physics Edge processing logic AI detection pipeline Designed to be deployable with real hardware.
SubseaAI — Real-Time Pipeline Leak Detection
SubseaAI uses physics-based AI to detect subsea pipeline leaks in under 15 seconds by fusing thermal, acoustic, and pressure signals with probabilistic models and real-time tracking.
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