AI Pipeline Leak Detection
Faster, Quieter, More Accurate
Fuse SCADA, fiber-optic DAS, satellite and acoustic data with AI to detect leaks in minutes - and slash false-alarm noise.
Quick Answer
NeoBram delivers AI pipeline leak detection that fuses SCADA, fiber-optic DAS, satellite and acoustic sensors to detect leaks within minutes, attribute location to within tens of metres, and cut false-alarm noise 50-80% versus rule-based CPM systems.
Why This Matters
Pipeline Leaks Are Costly, Public and Avoidable.
A single major release can cost $100M+ in cleanup, fines and reputational damage. Yet many operators still depend on conventional Computational Pipeline Monitoring (CPM) that misses small leaks and drowns control rooms in false alarms.
AI changes the economics. Fusing fiber-optic DAS, SCADA flow / pressure balance, satellite-based hyperspectral data and acoustic sensors gives operators detection in minutes and location accuracy in metres.
We deploy leak detection AI that augments, not replaces, your existing CPM and SCADA - delivering API 1130-aligned performance with far less alarm fatigue.
Our Tech Stack
Production-Grade Tools We Deploy
Sensing
ML & detection
Operations integration
Compliance
Architecture Deep-Dive
How We Build It
Multi-modal leak detection
AI models trained per sensor type and fused into a single confidence score per pipeline segment.
- DAS acoustic event classification
- Negative pressure wave + ML hybrid detection
- Mass/volume balance with statistical models
- Satellite confirmation for long-duration releases
Alarm fusion & noise reduction
Consolidates alarms across sensor types, dismisses known operational events (pig runs, valve moves) and presents one prioritised alarm queue.
- Cross-source corroboration scoring
- Operational-event filtering (pigs, valves, third-party works)
- Operator-friendly explanations per alarm
- Suppression of duplicate alarms across systems
Location & size estimation
Estimates leak location and size with confidence bands - speeding emergency response and shutdown decisions.
- Location accuracy: typically ±10-50m on DAS-instrumented lines
- Leak size estimate (small/medium/large) with rate band
- Time-to-detect benchmarked against API 1130
- Map view with response zone overlays
Audit-ready, API 1130-aligned
Every alarm, classification and operator action logged for regulator audit. Performance metrics aligned to API 1130 categories.
- Reliability, sensitivity, accuracy, robustness metrics tracked
- PHMSA / regulator export packs
- Operator action audit trail
- Annual performance review automation
Data Security, Governance & Safety
Enterprise AI demands enterprise-grade security. Every solution we deploy follows strict data sovereignty, safety, and compliance standards.
Data Sovereignty
- Your data stays in your infrastructure - always
- Deploy on your cloud (AWS, Azure, GCP) or on-premise
- No data leaves your environment
- Full compliance with regional data residency requirements
Model Safety & Guardrails
- NVIDIA NeMo Guardrails for content safety
- PII detection and redaction with Presidio
- Prompt injection defense and input sanitization
- Hallucination detection and factual grounding
Access Control & Audit
- Role-based access control for all AI systems
- Immutable audit logs for every interaction
- SOC 2 Type II, ISO 27001 compliance frameworks
- GDPR, HIPAA, and industry-specific regulations
Responsible AI
- Bias testing with Fairlearn and AI Fairness 360
- Model explainability via SHAP and LIME
- Transparency reports for stakeholders
- Continuous fairness monitoring in production
FAQ
Frequently Asked Questions
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