StudioPro
Turn your drawings into a digital connected facility graph
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Today's challenge
Piping circuitization is created on siloed, static diagrams. If a change happens on the drawing, the circuitization is not updated to reflect this change. This creates gaps in the piping program, that ultimately could lead to process leaks and ultimately significant incidents.
With PlantGraph
- Rule‑based circuit creation, auto‑propagation across the entire facility.
- Live visualization and search: color overlays, enhanced search by circuit, line, service, material
- Integrate with industry leading Inspection database applications, to create a single lens for reliability leaders in managing piping assets.
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Output to users
- Circuit data registry searchable by circuit/line/service.
- Color coded circuit interface for the entire facility.
- Quantitative coverage & gap report across every equipment.
Today's challenge
Isolation plans are manually created from static P&IDs. This process is time consuming, human dependent, and requires detailed engineering knowledge. Current workflows commonly miss whether a valve is even viable as a primary isolation point because this data is often siloed in the CMMS, leading to potential safety incidents.
With PlantGraph
- Rule‑based isolation boundary creation, based on engineering procedures that can consistently applied across the facility
- Live visualization of critical components: color overlays for primary isolation points, bleeder valves, double, block and bleed configurations.
Output to users
- Automated isolation boundary creation.
- Digital interface to review and evaluate isolation boundary requirements.
- Integrated with work order and CMMS information overlay
Today's challenge
Operators are overwhelmed by alarm floods, static spreadsheets, and disconnected data that obscure root causes and delay response time
With PlantGraph
- Evaluate alarms in context: see which equipment are impacted automatically.
- Codify cause and effect: connect alarm deviations to upstream and downstream drivers based on flow.
- Prioritize critical alarms vs. secondary effects using relational mapping and understand the root cause.
Output to users
- Contextual alarm views tied to equipment and process flow.
- Dynamic cause effect tracing for faster diagnosis.
- Shared console and field operator view for collaboration
Today's challenge
Leak and failure data is siloed, manual, and often not associated to the correct equipment because the underlying data model does not represent the entire facility configuration. Recurring issues are treated as isolated events instead of systemic vulnerabilities. This leads to hidden costs from production losses, environmental exposure, and repeat failures that impact profitability, safety, and compliance.
With PlantGraph
- Map leaks directly to any equipment from the tower to the flange.
- Build historical profiles of recurring leak points and high-risk systems relative to flow and any level of hierarchy from the plant to the sub-system.
- Consolidate leak, maintenance, and emissions data into a single lens across the facility
Output to users
- Digital representation of all leaks and failures across the facility tied to every equipment with reoccurrence history.
- Cross‑functional dashboards for ops, reliability, and EHS teams to understand leaks by plant, system, or sub-system.
- Predictive insights feeding maintenance and reliability strategies.
Today's challenge
Manual workflows, fragmented implementations, and inconsistent asset data stall migrations in costly data cleansing cycles. Functional locations are inconsistent, reporting is unreliable, therefore analytics and AI stall, turning migrations into multi-year cleanup projects.
With PlantGraph
- Equipment‑first graph model built from engineering drawings captures everything from P&IDs from the tower to the flange.
- Automated propagation of asset data across plants, units, systems, and sub-systems.
- Continuous synchronization with SAP and your facilities management of change process.
Output to users
- CA complete facility master asset database identifying every equipment what it is, where it is, and what it’s connected to from the tower to the flange.
- Standardized equipment ontology and functional hierarchies.
- Integration into SAP and other sources of record.
Today's challenge
Process deviation analysis depends on siloed trends and tag lists that miss upstream and downstream context. Engineers spend days piecing together data that should be visible in one connected view.
With PlantGraph
- Query instruments showing deviations across a unit or system and instantly visualize their connected flow paths.
- Overlay historian, alarm, and maintenance data on a single canvas for a full operational picture, to identify outliers.
- Identify initiating causes and secondary effects with visualization that is not limited by a diagram boundary.
Output to users
- Faster, data-backed root cause analysis across any unit, system or subsystem.
- Traceable deviation reports tied directly to tagged equipment and corresponding downstream and upstream equipment.
- Reduced recurrence of upsets and improved process reliability.
Today's challenge
Traditional HAZOPs are intensive, data-driven exercises that require technical mastery and understanding across a wide range of engineering disciplines. These facilitated sessions typically take multiple weeks and can stall due to scattered data, turning focused safety studies into hunts for information.
With PlantGraph
- Search for data in context to the asset and its upstream and downstream equipment.
- Dynamically adjust visualization to solve the problem. No longer be locked to a diagram perspective during the HAZOP review.
- Visualize alarms, failure history, critical safeguards, limits, and data directly in the canvas.
Output to users
- Structured records of causes, consequences, safeguards, and recommendations.
- Recommendations anchored to equipment, systems and sub-systems tied into the MOC process.
- Sustainment ready: saved views and specific analysis ready for future revalidation.
Today's challenge
When an equipment or system goes down, teams rely on manual tracing and static drawings to determine what’s affected downstream. This reactive process slows recovery time and understanding of future impacts.
With PlantGraph
- Trace flow and system dependencies to see exactly which systems are impacted when an equipment goes down.
- Visualize cascading effects on secondary systems such as utilities, and safety systems.
- Integrate with historian or production data to automatically calculate downtime and financial impact.
Output to users
- Immediate visualization of affected systems during upsets.
- Quantified impact reports for faster communication and decision-making.
- Improved coordination across operations, reliability, and safety teams.
Today's challenge
When an equipment or system goes down, teams rely on manual tracing and static drawings to determine what’s affected downstream. This reactive process slows recovery time and understanding of future impacts.
With PlantGraph
- Trace flow and system dependencies to see exactly which systems are impacted when an equipment goes down.
- Visualize cascading effects on secondary systems such as utilities, and safety systems.
- Integrate with historian or production data to automatically calculate downtime and financial impact.
Output to users
- Immediate visualization of affected systems during upsets.
- Quantified impact reports for faster communication and decision-making.
- Improved coordination across operations, reliability, and safety teams.
Today's challenge
Safety-critical information is often stored in spreadsheets, reports, and documents disconnected from live operations. Teams lack a real-time view of safeguards in context during transient operations or emergencies.
With PlantGraph
- Map safeguards and IPLs directly to process equipment and circuits in context to process flow.
- Visualize alternate control pathways and identify control of defeat routes before incidents occur.
- Integrate safety data from P&IDs, alarm systems, and procedures into one source of truth, accessible from a digital and up to source of truth
Output to users
- Unified visibility into all safeguards, limits, and safety devices.
- Faster PSM and COMAH reviews with clear traceability.
- Reduced risk from missing or conflicting safety data.
Today's challenge
Maintenance planning is often siloed by team or work order, resulting in overlapping isolations and repeated shutdown or isolation of critical equipment.
With PlantGraph
- Visualize work orders, isolation boundaries, and equipment dependencies across the entire plant.
- Identify shared isolation plans and parallel tasks to optimize work order schedule sequencing.
- Integrate CMMS and inspection data to align maintenance priorities with risk.
Output to users
- Optimized work schedules that minimize planned downtime.
- Clear visibility of all planned tasks and shared equipment isolation boundaries across the plant.
- More efficient use of resources and reduction in process risk.
Today's challenge
Criticality assessments are static and spreadsheet-driven, ignoring live work orders or operational configurations. Plants miss elevated risk when redundancy drops during day-to-day operations.
With PlantGraph
- Model real-time criticality based on live system configurations and work order activity.
- Highlight single-point vulnerabilities when redundancy is reduced.
- Integrate with CMMS and historian data to predict and prevent downtime events.
Output to users
- Live operational risk visualization for smarter scheduling.
- Automated criticality updates as plant conditions shift.
- Fewer unplanned outages and higher system availability.
Today's challenge
Engineers must manually cross-check drawings and design pressures for every PRD, a time-consuming process prone to oversight and error.
With PlantGraph
- Identify all PRDs and upstream equipment through automated graph queries.
- Compare design and set-point pressures across the network for inconsistencies.
- Highlight potential overpressure risks for proactive correction.
Output to users
- Verified PRD configurations aligned with actual plant conditions.
- Reduced audit prep time with automated traceability.
- Improved safety assurance through continuous verification.
Today's challenge
Asset lists are inconsistent and manually maintained across departments. This leads to data drift, duplicate records, and poor integration with critical systems.
With PlantGraph
- Digitize drawings to capture every piece of equipment and its connections automatically.
- Sync updates with MOC workflows to keep master data accurate.
- Feed governed asset data to CMMS, ERP, and analytics platforms for alignment.
Output to users
- One accurate enterprise asset registry across systems.
- Real-time updates as field or drawing changes occur.
- Reliable data foundation for all operational applications.
Today's challenge
Each site maintains different naming conventions and asset hierarchies, breaking analytics, integration, and reporting across the organization.
With PlantGraph
- Apply ISO 14224 and CFIHOS-compliant standards to all equipment automatically.
- Propagate naming and hierarchy consistency across facilities through a shared model.
- Enable analytics and AI systems to query and compare normalized data seamlessly.
Output to users
- Enterprise-wide data alignment for all assets and systems.
- Improved analytics accuracy through consistent ontology.
- Stronger data governance foundation for digital transformation.
Explore the PlantGraph demo to see what’s possible
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