Nigeria LNG Deploys AI to Boost Safety, Efficiency and Sustainability

NLNG Puts AI to Work: Safer, Leaner, and Cleaner Operations

Nigeria LNG (NLNG) is moving AI from pilot talk to daily practice. At GASTECH 2025 in Milan, the company made a clear point: AI is a core lever for safety, reliability, and emissions reduction-now, not later.

Speaking on a panel about AI and operational excellence, NLNG's deputy managing director, Olakunle Osobu, outlined where the gains are showing up across the value chain. The message for operations leaders is simple: integrate AI into existing workflows, target measurable outcomes, and build the skills to sustain it.

GASTECH 2025 provided the stage; the results speak for themselves.

Where AI Is Delivering Results at NLNG

• Onboarding and knowledge retention: Virtual reality tools and AI agents shorten time-to-competence and preserve critical operational knowledge.
• Safety and compliance monitoring: Smart cameras and satellite data improve visual analytics for plant and field operations, tightening compliance and situational awareness.
• Reliability and uptime: Predictive maintenance and automation reduce unplanned downtime and keep assets available.
• Lower emissions: AI-led optimisation improves emissions tracking and supports cleaner operations across the gas value chain.

The Integration Playbook: Start With What You Have

Osobu stressed a practical path: integrate AI into current platforms instead of building from scratch. That approach enables predictive, preventive, and corrective maintenance in one loop, with data flowing into the work management process you already use.

Result: plants run closer to peak performance with fewer surprises and faster recovery when issues emerge.

Safety First: Goal Zero Backed by Data

NLNG's Goal Zero safety policy is seeing measurable gains supported by AI-driven monitoring and analytics. Better detection, earlier alerts, clearer context-these are the day-to-day improvements that reduce incidents and permit deviations.

Upskilling to Capture the Value

Tools don't deliver value without capable people. NLNG's Centre of Excellence is building skills to match AI-infused processes-data literacy, model interpretation, and automation-aware standard work.

If you're building similar capability, explore role-specific training paths for operations teams at Complete AI Training - Courses by Job.

What Operations Leaders Can Apply Now

• Prioritise integration over invention: Plug AI into your CMMS, DCS, EHS, and surveillance systems before chasing greenfield platforms.
• Pick 3-5 high-yield use cases: Predictive maintenance on critical assets, visual safety analytics, emissions monitoring, and turnaround planning are proven starters.
• Make data usable: Clean tags, standardise failure codes, and set telemetry baselines. Good labeling beats fancy models with poor inputs.
• Tie models to standard work: Embed alerts into work orders, permits, and escalation paths-no "orphan analytics."
• Track hard KPIs: MTBF, unplanned downtime, permit-to-work violations, audit findings, and emissions intensity (CO₂e/tonne LNG).
• Close the loop: Feed outcomes back to retrain models and update SOPs. Continuous improvement should include your AI stack.

Cleaner Operations With Better Measurement

Emissions performance improves when monitoring is continuous and precise. AI helps quantify leaks, flag anomalies, and optimise operations for lower intensity-core to the energy transition and stakeholder expectations.

For context on methane measurement and abatement, see the IEA's overview: Global Methane Tracker.

Signal to the Sector

NLNG's showcase at GASTECH signals a clear direction: safe, secure, and efficient energy production depends on smart technologies embedded in everyday operations. The company frames its intent plainly-"a globally competitive energy company, improving lives sustainably."

For operations leaders, the takeaway is clear: start with integration, focus on measurable wins, and invest in people. The performance gains are within reach.