The oil and gas industry operates under high-risk conditions characterized by infrastructure degradation, operational uncertainty, and environmental sensitivity. Effective integrity management requires continuous monitoring, defect evaluation, degradation prediction, and maintenance decisions based on safety and economic criteria. This work develops a digital twin–based decision support system for pipeline condition monitoring and remaining life assessment. A deterministic integrity core based on the Modified B31G method enables calculation of allowable pressure, utilization ratio, and structural adequacy indicators, with further extension toward a probabilistic, time-evolving digital twin.

Хаддур З. (науч. рук. Ведяков А.А.) Digital twin–based decision support system for pipeline condition monitoring and remaining life assessment // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2026]. URL: https://kmu.itmo.ru/digests/article/17333