Storengy x Samp: The voice of our customer

Discover why Storengy – ENGIE decided to deploy Samp at all its sites with Antoine BOUDEHENT 

1️⃣ Strong positive users feedback 💙
➡ Samp connects experienced staff & newcomers
➡ Samp removes the guesswork of operations

2️⃣ Fast visual access to information ⏱
➡ Legacy IT/OT systems data, at equipment level
➡ Geospatial data for all: ATEX, buried networks…

3️⃣ Samp is UNIQUE ! 🥇
➡ FUNDAMENTAL: starts from the reality on the ground
➡ EXISTS NOWHERE ELSE: made intelligent with P&ID

More to explore

Automated Spatial Tagging

Through automated spatial tagging—powered by in-scan Optical Character Recognition (OCR) embedded within Shared Reality and its Assetizer AI engine—operators can now extract physical label data directly from 360° panoramic imagery embedded in 3D scans. By anchoring physical plant labels directly to CMMS tags and 3D geometries without requiring an existing, validated P&ID as an intermediary, industrial operators can rapidly turn monolithic scans into interactive digital twins, streamline turnaround (TAR) preparations, and unlock comprehensive line-by-line P&ID validation via automated pipe crawling.

A Reality-Based Evolution for RBI and Process Safety Management

In brownfield refining, petrochemical, chemical, and offshore processing facilities, maintaining dedicated “inspection isometrics” represents one of the most resource-draining, error-prone overheads in Asset Integrity Management (AIM). For decades, plant operators have treated 2D Computer-Aided Design (CAD) piping isometric drawings as the mandatory medium for mapping Condition Monitoring Locations (CMLs), defining corrosion loops, and executing Risk-Based Inspection (RBI) workflows under API 570 and API 580/581.

Webinar: Automated Spatial Tagging

Discover how Shared Reality helps you visually isolate piping circuits and corrosion loops instantly, bridging the gap between engineering data and field execution.

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