Industrial AI Powers Safer, Faster LNG Plant Start‑ups at Woodside Energy

While chatbots dominate headlines, the real breakthrough for industrial AI is happening in the guts of energy infrastructure. At Woodside Energy, the Australian oil‑and‑gas giant has turned years of data collection into a suite of predictive tools that now guide the start‑up of its liquefied natural gas (LNG) complexes.

How industrial AI is reshaping plant operations

Vice‑president for digital Andrew Melouney explains that the company’s AI journey began long before generative models, focusing on analytics for drilling, maintenance and plant performance. “We’ve always had massive streams of sensor data,” he says. “That gave us clear, high‑value use cases.”

“Our goal is an autonomous enterprise where AI agents interact seamlessly with core workflows,” Melouney notes.

The flagship “Startup Advisor” acts as a copilot for operators, replaying historic start‑up sequences and suggesting optimal actions in real time. Early pilots cut start‑up time by ↑ 15% and have been rolled out to ↑ 50 active agents across the business.

Data as an asset

Woodside built an enterprise‑wide data lake that ingests high‑frequency sensor feeds, maintenance logs from SAP and market data. Robust governance ensures every AI model passes privacy, cyber and safety checks before deployment.

To accelerate scaling, the firm partnered with Reuters-cited consultants and Bloomberg analysts, leveraging shared expertise while retaining strategic control.

Melouney’s mantra—“think big, prototype small, scale fast”—drives a pipeline that moves from isolated pilots to enterprise‑wide agentic systems, now numbering around fifty.

Governance includes an AI council that vets use cases for ethical and operational risk, and a lifecycle team monitors model drift, usage metrics and retraining needs as the fleet expands.

Editor’s note: A previous version misstated the number of AI agents; the correct figure is fifty.

Words by Julian Reed (Consumer Electronics Expert).