Success Stories

LNG Plant Operations and Surveillance

LNG

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LNG Plant Operations and Surveillance

BKOAI delivered PI Vision–based Operations Surveillance for a large LNG facility, rebuilding PI AF into reusable templates and a standardized asset hierarchy. The result improved remote visibility, faster anomaly detection, and a scalable foundation to replicate Train 1 for Train 2—aligned with Seeq for a single analytics context.

Goals

Deploy operations surveillance screens for a large LNG facility before first LNG introduction.
Create a reusable, standardized data template hierarchy to streamline future train expansions.
Provide a consistent PI AF data foundation for both PI Vision operations screens and Seeq analytics.
Improve operational visibility across distributed facility areas, including the control room, administrative offices, and berths.

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Challenges

Inherited an incomplete PI AF database with missing PI tags and inadequate documentation.
Faced a compressed 5–6 month timeline after previous contractors failed to deliver.
Needed to support multiple operational areas and stakeholders while maintaining a unified asset hierarchy.
Had to incorporate missing PI tags incrementally as they became available in the production PI server.

Solutions

Developed PI AF templates based on P&IDs for gas inlets, turbines, and utilities.
Implemented a 3-tier PI Vision screen hierarchy and added volumetric tank calculations.
Configured element hierarchies to stream unified asset context to Seeq analytics.
Added startup-event templates for propane unloading, gas turbine operations, and LNG tank loading and unloading activities.

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Results

Enabled remote operational visibility across control rooms, administrative offices, and berths.
Reduced future engineering effort through reusable, scalable PI AF asset templates.
Accelerated anomaly detection using rate-of-change calculations for abnormal conditions.
Established a standardized PI Vision architecture that can be copied and adapted efficiently for future LNG trains.

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