Enhancing Asset Reliability Through Integrated RAM Study: A PRISM Approach

In the oil and gas sector, operational efficiency depends on how effectively critical systems are designed, maintained, and optimized. As a leading Safety Engineering Consultant and Technical Safety Consultant, PRISM adopts a data-driven approach to Reliability, Availability and Maintainability (RAM) Study to help clients improve uptime, reduce life-cycle costs, and enhance asset performance.

Understanding the Role of RAM Studies

A RAM Study quantifies how reliable and available a facility’s systems are under realistic operating conditions. It provides an analytical basis for decisions on redundancy, maintenance strategy, and equipment design. At PRISM, RAM analysis is integrated early in project development to ensure that design configurations meet production targets and safety requirements without unnecessary overdesign.

For instance, in one of PRISM’s major offshore projects, the RAM team modelled the gas compression and export systems using specialized simulation tools such as MAROS. The study evaluated system reliability, potential bottlenecks, and single-point failures by simulating various maintenance and failure scenarios. Input data including failure and repair rates were sourced from industry-recognized databases such as OREDA and validated against vendor data and operational history.

Key Methodological Highlights

The PRISM RAM methodology involves:

• System Decomposition: Breaking down the facility into functional blocks aligned with PFDs and P&IDs to ensure technical accuracy.
• Data Validation: Reviewing maintenance and failure records to establish credible failure and repair rates.
• Simulation and Sensitivity Analysis: Running thousands of Monte Carlo simulations to predict equipment downtime and production losses.
• Criticality Ranking: Identifying top contributors to unavailability, guiding design improvements or redundancy decisions.

These insights enable clients to make evidence-based decisions on maintenance intervals, spare parts strategies, and reliability targets for critical assets such as compressors, turbines, and pumps.

Driving Value Through Reliability Engineering

PRISM’s RAM Study doesn’t stop at simulation outputs it translates data into actionable recommendations. By comparing predicted system availability against client targets, the study identifies design changes that offer the best balance between cost and reliability. Recommendations often include reconfiguration of standby equipment, preventive maintenance optimization, or updates to maintenance philosophies.

In practice, PRISM’s studies have demonstrated measurable performance improvements, such as a 5–10% increase in overall system availability and significant reductions in unplanned downtime. These outcomes reinforce PRISM’s position as a trusted partner for integrated reliability and safety engineering services across the energy sector.

Through its structured and analytical approach to RAM Study, PRISM ensures that each project achieves its performance objectives while maintaining operational safety and efficiency. By leveraging advanced modeling tools, field data, and multidisciplinary engineering insight, PRISM continues to deliver solutions that enhance reliability, availability, and maintainability across complex oil and gas operations.

References (APA 7th Edition)

DNV. (2021). OREDA: Offshore Reliability Data Handbook (7th ed.). DNV Publishing.

Rausand, M., & Høyland, A. (2020). System reliability theory: Models, statistical methods, and applications (3rd ed.). John Wiley & Sons.

Venkataraman, N. (2022). Reliability, availability and maintainability analysis in oil and gas facilities. Elsevier.