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PI Migration

Engineering & Marketing International
Technology

Aveva

Industry

Energy

Client

Qatar Energy

Country

Qatar

Goals

Migrate PI tags from legacy systems

Replicate DCS graphics in PI Vision

Validate system via FAT and SAT

Deliver full technical documentation

Challenges

High-volume graphic replication

FAT coordination with Emerson

Integration with OPC data sources

Tight delivery across multiple sites

Solutions

Designed system specs and symbol library

Configured 1,749 tags and 192 graphics

Installed and tested system at FAT lab

Deployed on-site and verified via SAT

Results

PI System live across all QE sites

Operational graphics fully replicated

Real-time data visibility improved

FAT/SAT passed with full documentation

Qatar Energy - PI Migration Project

In 2024, EMI partnered with Emerson to deliver a major PI system migration and graphic development project for Qatar Energy (QE), covering a range of critical LNG facilities including QG2, QG3&4, WHP7/8/9, CLNG S&L, and CSP. The goal was to modernize QE’s real-time data infrastructure by migrating PI tags, replicating operator graphics, and deploying PI Vision dashboards that mirror the plant’s DCS environments.

The engagement began with detailed planning and design phases, where EMI gathered system requirements, built the Functional Design Specification (FDS), and developed a custom Symbol Specification Library for consistent graphics replication. Offsite, EMI configured 1,749 PI tags and recreated 192 DCS graphics in PI Vision—ensuring visual accuracy and real-time linkage to the PI Data Archive.

Factory Acceptance Testing (FAT) was conducted at Emerson’s facilities, where the PI system was deployed on provided hardware and virtual machines. EMI led the FAT cycle, verifying full connectivity with Emerson OPC servers, validating graphics, and confirming system performance. Following successful FAT, the team transitioned to on-site deployment at QE facilities, conducted Site Acceptance Testing (SAT), and finalized the delivery with complete documentation and verified system readiness. This project enhanced Qatar Energy’s operational visibility, standardized its real-time data visualization, and laid a solid foundation for scalable data integration and future digitalization initiatives.