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PI Vision & PI AF

Engineering & Marketing International
Technology

Aveva

Industry

Oil and Gas

Client

ADNOC

Country

UAE

Goals

Build a scalable PI AF hierarchy for better data organization

Migrate 7,200 graphics to PI Vision while maintaining functionality and clarity

Link graphics to AF for more meaningful and actionable data use

Complete testing and provide user training for smooth adoption

Challenges

Capturing diverse user needs across multiple teams

Migrating complex graphics accurately without losing functionality

Mapping thousands of tags to the correct AF attributes

Coordinating efforts across multiple sites

Solutions

Held detailed workshops with users to understand requirements

Developed and implemented a scalable AF hierarchy

Converted graphics to PI Vision and linked them to AF attributes

Conducted testing and delivered user training for adoption

Results

Deployed a modern PI Vision interface with improved usability

Delivered an organized and scalable AF structure

Enhanced dashboards and improved access to critical data

Received positive user feedback and strong adoption

ADNOC Implementation of PI Vision & PI Asset Framework

Between 2022 and 2023, EMI was awarded to lead the migration and modernization of the PI System user interface and asset management framework for ADNOC Onshore sites in the UAE. The project involved migrating about 7,200 legacy PI ProcessBook graphics to PI Vision, developing a scalable PI Asset Framework (AF) hierarchy, and delivering user training and system testing.

EMI conducted workshops to gather user requirements, coordinated onsite and offsite work, and performed thorough testing including Site Acceptance Testing (SAT) to ensure data accuracy and system reliability. The solution improved data management by linking PI Vision displays to the AF hierarchy and provided detailed documentation for future maintenance. Challenges included handling complex migrations, mapping thousands of tags into AF attributes, coordinating geographically dispersed teams, and ensuring smooth user adoption through training.The project delivered a modernized PI Vision interface, improved asset data accessibility, enhanced operational efficiency, and received full client acceptance with positive feedback.