Overcoming Barriers to Digital Twin Adoption and Realizing the Full Potential of Digital Twins in Pipeline Infrastructure
Proceedings Publication Date
Presenter
Yousef Achercouck
Presenter
Company
Author
Yousef Achercouck
Part of the proceedings of
Abstract

The oil and gas industry has historically exhibited cautious adoption of emerging technologies, often driven by risk aversion, legacy systems, and deeply embedded operational practices. This conservative approach, while rooted in safety and reliability, has at times hindered innovation and delayed the uptake of transformative digital solutions. Among these, digital twins—virtual replicas of physical assets enriched with real-time data—are rapidly gaining traction to enhance asset performance, reliability, and lifecycle management.
This paper explores the development of digital twins for upstream and midstream oil and gas infrastructure, including pipelines, compressor and processing facilities. It examines the behavioural and cultural barriers to adoption, such as resistance to change, concerns over data integrity, and the perceived complexity of integration with existing systems. Drawing on industry case studies, the paper highlights how digital twins can overcome these challenges by delivering measurable benefits: predictive maintenance, improved asset integrity management, enhanced operational visibility, and reduced downtime.
The adoption of industry standards such as CFIHOS, PODS and ISO 15926 are critical to enable interoperability across platforms, improve data quality and reduced integration costs. By enforcing consistent data structures and semantics, they support scalable digital twin architectures and facilitate collaboration between operators, vendors, and regulators. Early implementation starting from design and planning phase offers significant advantages, enabling early identification of design conflicts and streamlined handover to operations.
By combining sensor data and historical performance records, digital twins enable operators to make informed decisions, anticipate failures, and optimize maintenance schedules. The paper also discusses the role of interoperability standards, cloud platforms, and AI-driven analytics in scaling digital twin solutions across asset portfolios. Ultimately, the adoption of digital twins represents a paradigm shift in how oil and gas assets are operated and maintained—bridging the gap between physical infrastructure and digital intelligence to support safer, more efficient, and more sustainable operations.

To view the video or download the paper please register here for free

You already have access? Sign in now.