Beyond Breakdown: Optimizing Asset Integrity with Autonomous Condition-Based Maintenance in Oil & Gas
Dr. Charles Farrar is LGNA’s Chief Engineer. He is the former Director of the Los Alamos National Laboratory's (LANL's) Engineering Institute and a LANL Fellow.
This case study illustrates how a major Oil and Gas Company successfully transitioned from reactive maintenance to an advanced, autonomous, condition-based maintenance (CBM) strategy, significantly boosting profitability and safety.________________________________________
The Challenge: Mitigating Unplanned Downtime
The company’s core objective was to reduce the total lifecycle costs associated with its extensive oil and gas production, distribution, and refining infrastructure.The existing maintenance paradigm was severely limited:1. Run-to-Failure: For many assets, there was no continuous monitoring, leading to unpredictable and often catastrophic failures.2. Reactive/Periodic Inspections: Maintenance relied on periodic, qualitative visual inspections followed by localized non-destructive testing (NDT).This traditional approach created critical business risks:• Unpredicted Failures and Unplanned Downtime across the value chain.• Cascading Failures that compounded damage and repair costs.• Costly, Emergency Repairs and difficult supply chain management for unexpected parts.The result was an unnecessary drag on operating expenditures and a constant threat to production targets and personnel safety._______________________________________
The Solution: Transitioning to Condition-Based Monitoring
The company determined the future lay in moving from discrete, time-based maintenance to a continuous and autonomous condition-based maintenance (CBM) model.The new approach centered on:• Continuous Monitoring: Incorporating recent advances in commercially-available, online damage monitoring and telemetry systems for real-time asset health assessment.• Timely Damage Assessment: Integrating the data from these systems into a proactive maintenance scheduling process.
However, a significant challenge emerged: Lack of in-house expertise with state-of-the-art, commercial damage detection systems, threatening the successful integration of the new technology.________________________________________
However, a significant challenge emerged: Lack of in-house expertise with state-of-the-art, commercial damage detection systems, threatening the successful integration of the new technology.________________________________________
Strategic Implementation through Expert Partnership
To bridge this knowledge gap, the company assembled an external team of specialized damage detection experts. This group was led by a senior manager currently at the Lucidity Guild of North America (LGNA).This partnership provided a comprehensive solution:1. Peer Review & Validation: Expert review of the company's CBM plan to ensure the chosen state-of-the-art technology was appropriate and optimally configured for their specific infrastructure.2. Application-Specific Mitigation: Identification of application-specific issues unique to the company's assets and development of tailored mitigation strategies.3. Knowledge Transfer & Training: Comprehensive training for the company’s in-house engineers on the theory of operations and practical application of the newly purchased commercial damage detection system.