This paper presents a systematic approach to evaluate the time interval of optimal maintenance strategy for the subsea process system influenced by Microbiological Influenced Corrosion (MIC) within multiple defects. The proposed method incorporates the non-homogeneous Poisson, homogeneous gamma, and non-homogeneous Markov processes for modeling the generation of multiple defects, the average pit depth growth, and maximum pit depth, respectively. The maintenance strategy comprises industrial procedure, probability of failure detection, errors sizing in-line inspection tools, management actions costs, and failure cost. The developed framework simulates maintenance strategies considering time interval, cost, probability of detection, average pit depth, and maximum pit depth and identifies the optimal strategy. The practical application is demonstrated in a North Sea subsea pipeline system under MIC’s influence. This work assists decision-makers in selecting the optimal conditioned-based maintenance strategy for the processing system. While the application is demonstrated to subsea process systems under MIC influence, the developed approach is equally applicable to other process systems.

本文提出了一种系统方法来评估受微生物影响腐蚀 (MIC) 影响的海底过程系统在多个缺陷内的最佳维护策略的时间间隔。所提出的方法结合了非齐次泊松、齐次伽马和非齐次马尔可夫过程，分别用于对多个缺陷的产生、平均凹坑深度增长和最大凹坑深度进行建模。维护策略包括工业程序、故障检测概率、在线检查工具的错误大小、管理行为成本和故障成本。开发的框架模拟考虑时间间隔、成本、检测概率、平均凹坑深度和最大凹坑深度并确定最佳策略。在 MIC 影响下的北海海底管道系统中展示了实际应用。这项工作有助于决策者为处理系统选择最佳的基于条件的维护策略。虽然该应用在 MIC 影响下的海底过程系统中得到了证明，但所开发的方法同样适用于其他过程系统。