Safety Monitoring and Risk Assessment AI

Proactively identify hazards, monitor work execution, and support incident investigations using AI.

Oil & gas operations are safety-critical. AI can augment monitoring, hazard identification, and risk assessment by combining sensor data, permits, training, and procedures—without removing human accountability.

Reduce incidents, ensure procedural compliance, enable faster response, and provide transparent evidence for regulators and audits.

Leveraging PTW data, job plans, sensors (gas, temp, vibration), CCTV/imagery (where applicable) to enhance safety.

Anomaly detection, PPE detection (with privacy safeguards), permit compliance checks, risk scoring, and Natural Language Processing (NLP) on procedures and lessons learned can be deployed.

Control-room dashboards, field alerts, supervisor summaries, and integration with Permit to Work (PTW) and Computerized Maintenance Management Systems (CMMS) are key components.

Utilizing NLP on incident reports to suggest preventative controls for similar work scenarios.

Implementation requires safety leadership, robust data governance practices, thorough privacy impact assessments, and establishing clear Key Performance Indicators (KPIs) with defined ownership.

This approach facilitates proactive risk mitigation by learning from past incidents and applying that knowledge to prevent future occurrences.

Frequently asked questions