A Comprehensive RAM Analysis Tool Using Monte Carlo Simulations for the Oil and Gas Sector: Application and Comparison

Luis Felipe Guarda Brauning; Laysa Almeida Café; Marco Aurélio Pestana; Luiz Flávio da Silva; Robson Carlos Rosário Junior; Darley Carrijo de Melo

doi:10.34178/jbth.v8i2.486

Luis Felipe Guarda Brauning
Laysa Almeida Café
Marco Aurélio Pestana
Luiz Flávio da Silva
Robson Carlos Rosário Junior
Darley Carrijo de Melo

DOI: https://doi.org/10.34178/jbth.v8i2.486

Keywords: RAM Analysis, Reliability, Availability, Monte Carlo Simulation

Abstract

Ensuring the availability and reliability of complex systems, such as those in the oil and gas industry, is critical for operational efficiency and safety. Traditional analysis methods often struggle to account for the variability and uncertainty inherent in failure and repair processes, leading to suboptimal maintenance strategies. This paper introduces a Monte Carlo Simulation (MCS) tool for analyzing Reliability, Availability, and Maintainability (RAM). The tool accommodates various probability distributions and calculates key performance indicators such as availability, reliability, maintainability, and confidence intervals. Applied to a CO₂ separation plant case study, the results demonstrate the tool's enhanced capability to capture a broader range of performance metrics compared to traditional analytical methods.