GITNUXSOFTWARE ADVICE
Supply Chain In IndustryTop 10 Best Refinery Software of 2026
Ranked top refinery software for planners and refineries, comparing tools like SAP IBP, Infor, Kinaxis, Seeq, and GE Vernova CSense.
How we ranked these tools
Before any source is gathered, an editor locks the question, what qualifies, and how the piece will be judged.
Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Seeq is the best fit for operations and reliability teams that need automated investigations straight from historian signals, and if you’re planning repeatable refinery mass and yield scenario runs without real-time optimization control integration, KBC Petro-SIM is the more targeted alternative.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Seeq
Condition detection workflows that produce timeline-driven findings tied to calculated channels and investigators.
Best for: Fits when operations and reliability teams need automated investigations from historian signals.
GE Vernova Proficy CSense
Editor pickPlanning workflow automation that ties turnaround and scheduling scenarios to monitored unit performance.
Best for: Fits when refinery planners need turnaround-oriented planning outputs tied to operational signals.
KBC Petro-SIM
Editor pickRefinery planning-oriented case management that preserves consistent yield and balance outputs across scenario batches.
Best for: Fits when planning teams need repeatable refinery mass and yield scenario runs without real-time optimization control integration.
Comparison Table
Seeq
enterpriseAdvanced industrial analytics software for time series data, process investigation, and monitoring.
Condition detection workflows that produce timeline-driven findings tied to calculated channels and investigators.
Seeq is built around organizing signals into interpretable findings, then connecting findings to investigators and operational actions. The core workflow model supports templates that can standardize refinery-wide checks across units, such as equipment monitoring, process diagnostics, and abnormal condition detection tied to tags and derived calculations. It also supports event timelines and playback views, which helps teams compare conditions around feed changes, operating mode switches, and upset recovery.
A tradeoff is that Seeq’s refinery value depends on clean tag naming, consistent sampling, and disciplined setup of calculated channels, so weak instrumentation yields noisy findings. It fits best for continuous operations and turnaround periods where DCS historian data and manual measurements both need to be reconciled into investigations, not just visual dashboards.
- +Event timelines tie derived conditions back to raw historian signals
- +Extensible calculations support custom metrics without flattening context
- +API supports automation for provisioning and data-driven workflows
- +Template workflows help standardize monitoring across multiple units
- –Effective results depend on consistent tag coverage and sampling
- –Advanced findings require disciplined configuration of calculated channels
- –Multi-team governance takes setup beyond basic dashboards
- –Complex integrations can require engineering time for adapters
Reliability and turnaround planning teams
Post-turnaround equipment anomaly investigations
Faster root-cause screening
Operations engineering teams
Abnormal condition monitoring from tag data
Reduced mean time to detect
Show 2 more scenarios
Process engineers
Blend and lab data reconciliation checks
Fewer data discrepancies
Calculated channels align lab measurements with operational signals for closure checks.
Integration and analytics teams
Automated publishing to operational systems
Lower manual report overhead
API-driven integrations synchronize findings and workflow states with external tooling.
Best for: Fits when operations and reliability teams need automated investigations from historian signals.
GE Vernova Proficy CSense
enterpriseAnalytics software for process performance, monitoring, and soft sensing in continuous industries.
Planning workflow automation that ties turnaround and scheduling scenarios to monitored unit performance.
GE Vernova Proficy CSense is built for refinery teams that need planning outputs to connect back to operational realities like meter and historian signals. It supports optimization workflows that planners can reuse across turnaround planning and feed or blend studies, and it includes controls for managing scenario iterations. Integration depth depends on the available connector set for each plant data source, including historian and interface layers that drive unit performance context.
A key tradeoff is that deeper refinery-wide optimization coverage depends on having consistent input data feeds and maintained model mappings across units. It works best when turnaround scope freeze and short horizon operating constraints need to be represented in repeatable planning cycles that produce operator-ready outputs.
- +Turnaround and planning workflows link operational context to scenario decisions
- +Automation routes optimization outputs into planner review steps
- +Scenario iteration supports repeatable planning cycles
- +Refinery unit monitoring uses plant data for operational performance context
- –Optimization quality depends on input data consistency across units
- –Model mapping work increases onboarding time for new plants
- –Cross-system integration can require additional connector engineering
- –Workflow setup takes configuration effort before planners can scale usage
Turnaround planners
Build and validate turnaround scenarios
Fewer scenario iteration cycles
Blend optimization teams
Run blend studies with refinery constraints
More consistent blend targeting
Show 2 more scenarios
Operations engineering
Monitor unit performance against plan
Quicker plan deviation handling
Operational monitoring connects live context to planning decisions for faster issue response.
Maintenance and reliability
Translate outages into scheduling impacts
Clearer scope impact visibility
Scheduling-oriented planning models capture outage effects and generate constrained next steps.
Best for: Fits when refinery planners need turnaround-oriented planning outputs tied to operational signals.
KBC Petro-SIM
vertical specialistProcess simulation and refinery optimization software for planning, operations, and engineering studies.
Refinery planning-oriented case management that preserves consistent yield and balance outputs across scenario batches.
KBC Petro-SIM is used to build simulation cases that carry through refinery-wide material accounting, from crude assay inputs to product yields and intermediate stream behaviors. The workflow emphasizes repeatable case configuration so planners can re-run suites after updates to throughput targets or crude slate assumptions. For auditability in planning contexts, outputs are structured for comparison across scenarios rather than only presenting point results.
A key tradeoff is that KBC Petro-SIM is most effective for batch scenario runs and model iteration, while it does not function as a real-time optimizer integrated directly into an APC or DCS control loop. It fits best when planning teams need to validate mass balance closure and yield impacts across alternative operating assumptions before committing to a scheduling plan.
- +Refinery-wide mass balance outputs support clear scenario comparisons
- +Blend and yield accounting stay consistent across repeated model runs
- +Case configuration supports repeatable planning cycles
- +Planning-focused report structures reduce manual consolidation work
- –Less suited for real-time optimization tied to DCS control actions
- –High-fidelity setups require upfront modeling discipline
- –Integration depth for historian or SCADA signals depends on external wiring
- –Interactive what-if exploration is slower than grid-based scheduling tools
Planning analysts
Crude slate scenario yield evaluation
Shortlisted crude scenarios
Turnaround planners
Scope freeze impact assessment
Validated turnaround planning assumptions
Show 2 more scenarios
Blending engineers
Blend property targeting for products
Feasible blending recipes
Use blend inputs to compute downstream yield and accounting impacts across candidate recipes.
Operations planners
Utility and flare envelope checks
Constraint-aligned operating plan
Validate steady-state balances that feed operational constraint discussions around offsites and emissions tracking assumptions.
Best for: Fits when planning teams need repeatable refinery mass and yield scenario runs without real-time optimization control integration.
AVEVA Unified Supply Chain
enterpriseSupply chain planning and scheduling software used in refining and downstream manufacturing.
Governed collaboration around planning artifacts with RBAC and audit logging tied to refinery asset context.
AVEVA Unified Supply Chain brings refinery planning and operational context into one governance and integration layer tied to AVEVA’s industrial data sources. The core strength is how the system supports refinery-specific planning workflows that depend on structured operational data, constraint handling, and cross-team handoffs.
- +Integration with AVEVA industrial data sources supports controlled refinery planning workflows
- +Governance controls support RBAC and audit log coverage for planning artifacts and changes
- +Automation interfaces fit recurring planning cycles with external optimization and data services
- +Asset-centric configuration supports reuse across units and planning horizons
- –Refinery-specific configuration depth can slow early rollout for smaller planning teams
- –Tight dependency on AVEVA data models may increase integration effort versus generic planners
- –Advanced workflow automation often requires careful setup of events, permissions, and data feeds
Best for: Fits when refinery planners need governed planning workflows integrated with AVEVA industrial data and external optimizers.
Yokogawa Exaquantum
enterprisePlant information management software for collecting, contextualizing, and analyzing process data.
Configurable study and scenario workflows that keep refinery planning assumptions consistent across iterations.
Yokogawa Exaquantum performs refinery planning and optimization workflows that connect refinery process data with schedule and blending decisions. It provides planning models for operational scenarios such as feed selection, yield and constraint checking, and integration with plant execution through interfaces that fit refinery IT landscapes.
- +Scenario workflow automation supports repeated planning iterations with controlled inputs
- +Interfaces for exchanging operational signals support integration with refinery IT systems
- +Constraint-driven planning models support refinery-wide constraint checking
- +Configurable governance patterns fit multi-team planning and review cycles
- –Advanced setup and configuration are required to match refinery data structures
- –Planning results require disciplined data stewardship to prevent model drift
- –Extensibility depends on integration tooling rather than built-in add-on connectors
- –UI navigation for large study libraries can slow down analysts during reviews
Best for: Fits when refinery planners need repeatable, constraint-aware scenario workflows tied to operational interfaces.
Hexagon j5 Operations Management Solutions
enterpriseOperations management software for shift handover, logbooks, permits, and control of work.
Hexagon j5 workflow configuration that binds planning steps to operational telemetry through Hexagon-focused integration points.
Hexagon j5 Operations Management Solutions is used to structure refinery planning and operations workflows around Hexagon assets and industrial data sources. It focuses on operational decision support that ties planning tasks to execution signals, especially where refinery personnel manage plant performance, operations constraints, and scheduling coordination.
- +Workflow-driven planning that links operational tasks to execution signals
- +Integration support for industrial data sources used in refinery operations
- +Configuration model that supports repeatable planning cycles across sites
- +Audit-oriented operational governance patterns for controlled workflow execution
- –Workflow configuration depth can increase implementation effort for new planning teams
- –Not designed as a standalone refinery simulation and optimization engine
- –Advanced planning outcomes may depend on connected upstream planning tools
- –Governance needs can slow change control when many teams contribute
Best for: Fits when refinery operations teams need configurable workflow automation tied to plant data, not a full optimization stack.
Peloton WellView
vertical specialistOil and gas operations software for production, field data, and asset information management.
Well-level deviation and alarm workflows with audit-tracked configuration changes across multiple operating roles.
Peloton WellView is a refinery workflow and data layer focused on well-level operations, including well surveillance, deviation tracking, and operational reporting across upstream and midstream interfaces. Core capabilities center on configuration of well structures and measurement points, rules for alarms and thresholds, and dashboard views for operational performance and issue triage.
- +Well and measurement configuration supports consistent identifiers for downstream handoffs
- +Threshold and event workflows reduce manual deviation reporting during ops shifts
- +Role-based access helps separate field, engineering, and analyst responsibilities
- +Audit trails record operational changes and event history for traceability
- –API and automation surface are limited compared with planning-centric refinery suites
- –Refinery-wide scheduling and optimization workflows are not its primary coverage
- –Integration depth depends on add-ons for structured feeds into planners
- –Governance requires disciplined configuration management to avoid identifier drift
Best for: Fits when refinery planners need governed well-level telemetry, alarms, and exception reporting feeding handoffs to turnaround and scheduling teams.
Prometheus Group
enterpriseMaintenance and turnaround planning software integrating with SAP and IBM Maximo for refinery assets.
Configurable plan review workflows with audit logging that ties plan changes to users and timestamps.
Prometheus Group builds refinery planning and operations software used for scheduling, blending, and coordination tasks across planning teams. The product focus centers on workflow configuration, data integration for models and operational inputs, and automation of plan review cycles.
- +API-first integration for pushing planning inputs and pulling plan outputs
- +Workflow configuration supports repeatable review cycles across planning roles
- +RBAC and audit logs track plan edits and access boundaries
- +Extensibility supports custom connectors for refinery data sources
- –Tighter governance and change control needs implementation planning
- –Advanced refinery-specific calculations rely on connected external models
Best for: Fits when refineries need governed plan workflows with API integration into existing optimization and execution systems.
dataPARC
SMBProcess data visualization and historian front-end for refinery PI and PHD systems.
Refinery-specific master data governance that publishes governed assay and property inputs via API to planning targets.
dataPARC performs refinery master data management and planning-configuration governance by connecting operational inputs to planning systems. It focuses on structured refinery data like assays, component properties, and asset attributes, then publishes that data to downstream planning and execution workflows.
- +API-driven publication for refinery master data into planning workflows
- +Configuration artifacts that support repeatable data refresh cycles
- +Strong governance for refinery-specific attributes like assays and properties
- +Integration patterns built around connecting planning and operations inputs
- –Refinery data modeling still requires structured onboarding and mapping work
- –Advanced automation depends on integrating the planning target system
Best for: Fits when refinery planners need consistent crude and blend properties published into optimization and scheduling runs.
Canary Labs Axiom
SMBIndustrial time-series historian and visualization platform for refinery process data collection.
Governed workflow execution with audit trails that track scenario inputs and decision outputs across runs.
Canary Labs Axiom targets refinery planning teams that need automation around procurement, planning, and scheduling workflows rather than only manual what-if studies. Axiom centers on configurable workflows with audit-friendly execution, plus an integration surface for pulling operational data into planning runs and pushing decisions back to refinery systems.
- +Workflow templates support repeatable scenario execution for planning use cases
- +Integration hooks connect planning runs to external refinery systems and data feeds
- +Audit trails track planning actions across users, scenarios, and run outputs
- +Governed access controls reduce operational risk from uncontrolled edits
- –Advanced refinery-specific optimization logic depends on external models and adapters
- –Complex refinery data mappings require careful upfront configuration and ongoing maintenance
- –Scenario performance under large batch runs is constrained by orchestration overhead
- –Scheduling granularity often requires additional integration to match DCS and historian semantics
Best for: Fits when refinery planners need governed, repeatable workflow automation with controlled scenario runs.
Conclusion
After evaluating 10 refinery software, Seeq stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Refinery Software
Refinery software in this guide focuses on how teams turn crude assay, blend constraints, and unit or turnaround assumptions into planning artifacts, investigations, and execution-ready workflows. The ten tools covered include Seeq, GE Vernova Proficy CSense, KBC Petro-SIM, AVEVA Unified Supply Chain, Yokogawa Exaquantum, Hexagon j5 Operations Management Solutions, Peloton WellView, Prometheus Group, dataPARC, and Canary Labs Axiom.
The comparison centers on integration depth, automation routes and API surface, and governance controls that keep scenario outputs and operational findings traceable. Seeq is treated as a historian-first investigation platform, while AVEVA Unified Supply Chain and dataPARC emphasize governed planning collaboration and master-data publication.
Refinery Software for governed planning, scenario workflows, and historian-driven investigations
Refinery software is used to manage refinery-wide planning artifacts such as scenarios, mass and yield accounting outputs, and plan review cycles that must stay consistent across iterations. Many deployments also connect those planning artifacts to operational signals so scheduling or turnaround decisions tie back to monitored unit behavior.
Seeq supports condition detection workflows that generate timeline-driven findings tied to calculated channels and raw historian signals, which is central for reliability investigations during operations. GE Vernova Proficy CSense focuses on planning workflow automation that routes turnaround and scheduling scenario outputs into planner review steps tied to monitored unit performance.
Integration, automation, and governance controls for refinery planning and investigation
Refinery software has to connect crude assay, blend properties, and unit assumptions into repeatable scenario outputs while keeping traceability from input to decision. Tools succeed when integration depth matches refinery workflows such as turnaround planning, plan review cycles, and historian-driven investigations.
Automation and API surface determine how scenario inputs and results move between planning, operations, and external optimization models. Governance controls determine who can change planning artifacts, which change was made, and how those changes relate to asset context and timestamps.
Historian-linked investigations with derived-channel traceability
Seeq supports condition detection workflows that produce timeline-driven findings tied to calculated channels and investigators, which fits reliability investigations driven by historian signals.
Turnaround and scheduling workflow automation routed into planner review
GE Vernova Proficy CSense links turnaround and planning scenarios to monitored unit performance and routes optimization outputs into planner review steps.
Refinery-wide mass balance and yield accounting consistency across scenario batches
KBC Petro-SIM generates refinery-wide mass balance outputs and keeps blend and yield accounting consistent across repeated model runs for batch scenario comparisons.
Governed collaboration on planning artifacts with RBAC and audit logs tied to assets
AVEVA Unified Supply Chain adds RBAC and audit logging for planning artifacts and changes while integrating with AVEVA industrial data sources for controlled refinery planning workflows.
Scenario workflow automation with controlled inputs for repeated planning iterations
Yokogawa Exaquantum provides configurable study and scenario workflows that keep refinery planning assumptions consistent across iterations and supports exchanging operational signals with refinery IT systems.
Workflow-driven planning that binds operational tasks to execution telemetry
Hexagon j5 Operations Management Solutions configures planning steps that link operational tasks to execution signals through Hexagon-focused integration points, rather than serving as a standalone refinery optimization engine.
Choose Refinery Software by the workflow engine and the control surface required
A refinery tool should be selected based on what it automates and what it governs, because different platforms emphasize historian investigations, turnaround planning workflows, or master-data publication. The decision points below separate tools that operate like investigation engines from tools that operate like governed planning workflow systems.
Integration depth and automation routing also drive fit, because refinery teams often need results pushed into review cycles or published into external planning targets. Governance controls decide whether planning artifacts can be edited safely across roles while preserving audit trails.
Pick the primary workflow engine based on whether operations investigations or planning scenarios lead
If condition detection and timeline-driven findings tied to calculated historian channels are the main need, choose Seeq for investigation workflows that preserve traceability back to raw historian signals. If turnaround and scheduling scenario outputs must be routed into planner review steps tied to monitored unit performance, choose GE Vernova Proficy CSense.
Decide whether scenario runs need governed collaboration or batch consistency for scenario comparison
If plan changes must be controlled with RBAC and audit logging for planning artifacts and changes, choose AVEVA Unified Supply Chain for governed collaboration built around AVEVA industrial data integration. If scenario batches must keep yield and balance outputs consistent across repeated runs without needing real-time optimization integration, choose KBC Petro-SIM.
Map the integration contract to the downstream system that consumes inputs and plan outputs
If refinery master data such as crude and blend properties must be published through an API into planning targets with repeatable refresh cycles, choose dataPARC for API-driven publication of refinery master data. If an API-first integration is needed to push planning inputs and pull plan outputs into existing optimization and execution systems, choose Prometheus Group.
Use workflow configuration depth to decide how much refinery-specific modeling must be built
If repeatable constraint-aware scenario workflows must keep assumptions consistent across iterations and require disciplined configuration to match refinery data structures, choose Yokogawa Exaquantum. If teams need configurable planning workflow steps that bind operational tasks to execution signals through Hexagon-focused integration points, choose Hexagon j5 Operations Management Solutions.
Select governed exception workflows or governed scenario automation when roles drive the handoff
If well-level telemetry, deviation, and alarm workflows must include audit-tracked configuration changes across operating roles feeding turnaround and scheduling teams, choose Peloton WellView. If governed workflow templates must execute repeatable scenario runs and track scenario inputs and decision outputs with audit trails across runs, choose Canary Labs Axiom.
Who should buy which Refinery Software
Refinery software buyers usually fall into reliability and operations teams that investigate anomalies, planners who run scenario and turnaround studies, and governance-heavy organizations that manage plan review and change control. The right selection depends on where the workflow starts and where the decision artifacts must land.
Reliability and operations engineering teams running historian-driven investigations
Seeq fits workflows where derived conditions must be traced through timeline findings back to calculated channels and raw historian signals for investigation accountability.
Refinery planning teams coordinating turnaround and scheduling outputs into review steps
GE Vernova Proficy CSense matches planning processes where scenario decisions must link to monitored unit performance and push optimization outputs into planner review steps.
Governance-focused planning organizations that require RBAC and audit trails for plan artifacts
AVEVA Unified Supply Chain supports governed planning workflows by combining RBAC and audit logging with integration to AVEVA industrial data sources for controlled artifact changes.
Master-data owners who publish assay and blend properties into downstream planning targets
dataPARC supports refinery-specific master data governance that publishes governed assay and property inputs via API for repeatable data refresh cycles.
Turnaround and scheduling handoff teams that need governed well-level alarms and deviations
Peloton WellView fits exception reporting where well and measurement configuration creates consistent identifiers and threshold-based workflows reduce manual deviation reporting during ops shifts.
Common failure modes when buying Refinery Software
Selection mistakes typically happen when workflow ownership is unclear or when governance and integration obligations are underestimated. Other failures occur when teams expect a platform focused on workflow configuration to provide an end-to-end refinery simulation or optimization engine.
Choosing a governed planning collaboration tool without confirming refinery-specific configuration depth
AVEVA Unified Supply Chain includes RBAC and audit logging, but refinery-specific configuration depth can slow early rollout for smaller planning teams and tight dependency on AVEVA data models can increase integration effort.
Treating a workflow automation platform as a standalone optimization engine for real-time control actions
KBC Petro-SIM delivers repeatable mass balance and yield scenario runs, but it is less suited for real-time optimization tied to DCS control actions and high-fidelity setups require upfront modeling discipline.
Underestimating data stewardship needs for scenario drift prevention
Yokogawa Exaquantum supports repeatable constraint-aware scenario workflows, but planning results require disciplined data stewardship to prevent model drift when aligning configuration to refinery data structures.
Assuming API integration exists end-to-end without mapping external models and adapters
Canary Labs Axiom tracks governed workflow execution with audit trails, but advanced refinery-specific optimization logic depends on external models and adapters and requires careful ongoing maintenance of complex refinery data mappings.
How We Selected and Ranked These Tools
We evaluated each refinery software tool against feature fit for historian-driven investigations, turnaround and planning workflow automation, refinery-wide mass and yield consistency, and governed planning collaboration. Features counted for 40 percent of the score, while ease and value each counted for 30 percent.
Seeq received the top ranking because its condition detection workflows generate timeline-driven findings tied to calculated channels and investigators, which connects outcomes back to raw historian signals through extensible calculated metrics. The scoring also reflected ease-of-use factors such as confidence in tag coverage expectations for derived results and configuration discipline needs for advanced findings.
Frequently Asked Questions About Refinery Software
How do Seeq and GE Vernova Proficy CSense differ for tying historian signals to refinery workflows?
Which refinery software products support API-based integration into existing planning and execution systems?
Which tools handle SSO and RBAC with audit logging for refinery planning governance?
How should a refinery plan data migration and model reuse when moving between simulation and planning cycles?
What breaks if a refinery relies on batch scenario execution instead of real-time optimization integration?
When do AVEVA Unified Supply Chain and dataPARC become the better fit than exporting spreadsheets to optimizers?
How do Peloton WellView and Hexagon j5 handle identifiers and workflow handoffs from telemetry to planning?
How does standout condition and timeline analysis in Seeq compare to workflow automation in Canary Labs Axiom?
What is the tradeoff between configuration-centric scenario workflows and deeper extensibility for refinery studies?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Keep exploring
Comparing two specific tools?
Software Alternatives
See head-to-head software comparisons with feature breakdowns, pricing, and our recommendation for each use case.
Explore software alternatives→In this category
Supply Chain In Industry alternatives
See side-by-side comparisons of supply chain in industry tools and pick the right one for your stack.
Compare supply chain in industry tools→