AI Emissions Monitoring
For Oil & Gas Operations
Fuse satellite, drone, fixed-sensor and process data into one AI platform for methane detection, attribution and OGMP 2.0 reporting.
Quick Answer
NeoBram builds AI emissions monitoring for oil & gas that fuses satellite, drone, OGI camera and fixed-sensor data with process data to detect, quantify and attribute methane and other emissions - meeting OGMP 2.0 L4/L5 and EPA OOOOb requirements.
Why This Matters
Methane Regulation Is Tightening Fast.
OGMP 2.0 Levels 4 and 5, EPA OOOOb, EU Methane Regulation and the Global Methane Pledge all demand measured (not estimated) methane data with site-level attribution and quantification.
Operators face a sprawl of point solutions: satellite providers, drone vendors, fixed sensors, OGI cameras. None of them alone deliver a defensible site-level inventory.
We build the integration layer: an AI platform that ingests every emissions data source, reconciles with process data, attributes events to equipment, quantifies leak rate and produces audit-grade reports.
Our Tech Stack
Production-Grade Tools We Deploy
Detection sources
AI & fusion
Process data
Reporting
Architecture Deep-Dive
How We Build It
Multi-source detection fusion
Single platform that ingests satellite, drone, fixed-sensor and OGI data and reconciles events across sources to eliminate double-counting.
- Per-asset emissions timeline across all sources
- Cross-source corroboration logic
- False-positive filtering against process events
- API ingest for any provider format
Site-level attribution & quantification
AI attributes detected plumes to specific equipment (tank, separator, compressor, flare) and quantifies leak rate with calibrated uncertainty.
- Equipment-level attribution
- Quantified leak rate (kg/hr or scf/hr) with uncertainty
- Reconciliation with bottom-up inventory
- Top-emitter ranking by site and basin
Process-side root cause
Joins emissions events with SCADA, DCS and CMMS data to identify root cause: blowdown, malfunction, equipment leak, maintenance event.
- Auto-classification: routine, abnormal, malfunction
- Correlation with operating mode and equipment state
- Maintenance event filtering
- Recommended LDAR follow-up
OGMP 2.0 / EPA OOOOb reporting
Audit-grade reporting packages aligned to OGMP 2.0 L4/L5, EPA OOOOb and EU Methane Regulation - with full data lineage.
- OGMP 2.0 L4 and L5 templates
- EPA OOOOb compliance reports
- EU Methane Regulation dashboards
- Auditor-mode data lineage view
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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