PETRONAS Carigali taps Geoteric AI to speed exploration and boost drilling success

PETRONAS Carigali adds Geoteric AI software to E&P operations

PETRONAS Carigali has signed an agreement with Geoteric to bring AI-driven seismic interpretation into its exploration workflow. The goal: identify new hydrocarbon prospects faster, raise drilling success rates, and compress exploration timelines.

Over the next three years, PETRONAS Carigali plans to deploy Geoteric AI across its E&P portfolio. Both companies will also collaborate on new AI-based technologies and workflows to support more productive and standardized project execution.

Why this matters for operations

Geoteric's software supports customized, trainable networks that integrate with existing geoscience workflows. The company reports cycle time reductions of up to 90%, helping teams move prospects through the funnel with fewer handoffs and less rework.

For operations leaders, this points to faster prospect maturation, clearer drill-or-drop decisions, and better return on seismic data investments.

What's being deployed

• AI-assisted seismic interpretation to speed prospect identification
• Integration with current geoscience tools and data sources
• Collaborative development of new AI workflows and technology
• Enterprise rollout across PETRONAS Carigali's E&P operations over three years

Expected operational impact

• Cycle time compression from seismic delivery to prospect maturity
• Higher decision confidence via consistent, repeatable interpretation workflows
• Improved drilling hit rate by focusing on better-ranked opportunities
• Standardized execution and easier knowledge transfer across teams and assets

Action steps for operations leaders

• Define clear KPIs: time from data receipt to prospect approval, interpretation throughput per geoscientist, and drilling success rate.
• Prepare data foundations: ensure seismic volumes, well logs, and meta-data standards are clean, versioned, and accessible.
• Plan change management: training, workflow playbooks, and QA gates for AI-assisted outputs.
• Set governance: model validation criteria, audit trails, and exception handling for high-impact decisions.
• Pilot, then scale: start with a few basins, benchmark outcomes, and expand to the full portfolio.

Looking ahead

The PETRONAS Carigali-Geoteric partnership signals a move to faster, more standardized exploration cycles. If results hold, the combination of AI-driven interpretation and common workflows can shorten time to spud and improve capital efficiency.

Learn more: Geoteric | PETRONAS

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