AI in Oil, Gas & Consumable Fuels

One of the largest oil and gas companies in Vietnam deployed Nanoprecise's MachineDoctor wireless sensor system with 6-parameter vibration monitoring on rotating equipment, detecting a Stage 3 unbalance fault on Blower H-1741 and avoiding $130,000+ in production losses.

Chevron partnered with OPX Ai to deploy an AI-driven Integrated Operations Center as a Service (IOCaaS) at the Kaybob Duvernay Formation in Alberta, Canada. The system monitors gas wells, compressors, and facilities using self-learning AI models and edge microservices, enabling exception-based management. Engineers shifted from reactive firefighting to proactive surveillance, with rapid identification of production anomalies. The deployment, phased over 12 months starting in 2020, integrated field SCADA data, real-time wellhead pressures, and maintenance work orders into cloud-based AI analytics, reducing manual monitoring and improving operational decision speed.

Shell uses RAG-based AI for maintenance documentation retrieval and operations support, enabling engineers to access technical manuals and maintenance procedures via natural language queries across global energy operations.

Shell deployed AI-driven predictive maintenance across 10,000+ assets ingesting 20 billion rows weekly from 3 million sensors, running 10,000+ production ML models on Azure Databricks and C3 AI platform at global industrial facilities.

China's first industrial LLM for pumping well optimization deployed across 3,800+ wells at CNPC Xinjiang Oilfield, achieving 90%+ anomaly diagnosis accuracy and reducing anomaly discovery cycles from days to minutes.

Shell deployed AI predictive maintenance across its global oil and gas operations, monitoring over 10,000 critical assets with 20 billion sensor readings per week, producing 15 million predictions daily.

Use of artificial intelligence saved Equinor USD 130 million in 2025. AI is a central part of Equinor's operations. Moving forward, AI will become even more important for solving industrial tasks safely, faster, more profitably, and at scale. With AI, Equinor can analyse seismic data ten times faster, plan wells and field development in new and better ways and operate facilities more efficiently.