AI-Powered Preventive & Predictive Maintenance: Oil & Gas Industry

AI isn't replacing maintenance teams in oil and gas. It's helping them spot problems sooner and keep critical equipment running.

AI-Powered Preventive & Predictive Maintenance: Oil & Gas Industry is a practical, step-by-step guide to developing a preventive maintenance program and integrating predictive maintenance tools in refineries, gas processing plants, compressor stations, terminals, and pipelines.

Updated for 2026, this guide combines established preventive maintenance practices with modern AI, CMMS, EAM, asset performance management, and condition monitoring. It explains why accurate work orders, timely documentation, and sound maintenance planning are essential to reliable predictions. AI is not a magic button: it can flag anomalies and emerging risks, but teams still need to assess and act on those signals.

What You'll Learn

• Identify and prioritize critical equipment and assets.
• Set realistic preventive maintenance frequencies using OEM guidance, field history, and operating conditions.
• Coordinate maintenance work and safe shutdown windows to reduce downtime.
• Manage critical spare parts without excessive inventory costs.
• Measure MTBF, MTTR, preventive versus reactive work, and maintenance cost drivers.
• Understand where predictive algorithms generate alerts and how CMMS work orders turn those alerts into action.
• Improve reliability through audits, training, documentation quality, and accountability.

Topics include pumps, compressors, turbines, valves, rotating equipment, vibration analysis, sensor data, asset health, maintenance scheduling, and reliability engineering.

For: Maintenance engineers, supervisors, planners, technicians, reliability professionals, and oil and gas operations teams.

Author: Lidia LoPinto, MChE — chemical engineer and former CEO of a maintenance software company. Edited by Investigative Voices.

Format: Paperback | Clover Leaf Publications Non Fiction Books, Book 3 of 6.

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