Assessment of Digital Twin Technology in Managing Lifecycle Performance of Petroleum Infrastructure Projects

Abstract

The complexity and capital-intensive nature of petroleum infrastructure projects necessitate the use of advanced technologies to optimise performance throughout the asset lifecycle. Digital Twin Technology (DTT), which creates real-time, virtual representations of physical assets, has emerged as a transformative solution in this domain. This research evaluates the adoption and effectiveness of DTT in enhancing the lifecycle performance of petroleum infrastructure, with a focus on its implementation across the design, construction, operations, maintenance, and decommissioning phases.

Employing a mixed-methods approach, the study collected data from 100 industry professionals through surveys and conducted in-depth interviews with 10 subject-matter experts. The findings indicate that DTT is most widely adopted during the operations and maintenance stages, where its benefits in predictive maintenance, asset reliability, and downtime reduction are most pronounced. However, adoption remains limited during early-stage design and final-stage decommissioning, highlighting a gap in full lifecycle integration.

Statistical analysis revealed a strong positive correlation (R² = 0.61) between the extent of DTT adoption and improved lifecycle performance metrics. Qualitative insights further identified key implementation challenges, including high initial costs, data integration issues, and gaps in workforce capability. The study concludes with strategic recommendations for the holistic integration of DTT, standardisation, workforce development, and enhanced cybersecurity protocols.

This research contributes to the growing body of knowledge on digital transformation in the petroleum sector, offering a roadmap for leveraging digital twin solutions to achieve operational excellence and sustainable infrastructure management.