This session is dedicated to exploring the newest developments in predictive maintenance and reliability strategies applicable to the oil and gas industry. With an emphasis on utilising data analytics, machine learning, and IoT, the session will showcase innovative approaches to improving equipment uptime, optimising operational efficiency, and minimising costly downtime. Experts will present real-world case studies to illustrate how predictive models and condition-based monitoring can improve asset reliability and safety. Topics covered include sensor integration, failure prediction algorithms, and maintenance optimisation techniques tailored to the specific challenges of the oil and gas industry, facilitating sustainable operations and cost-effective processes.