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Use case

Automating Sulphur Unit Status Tracking and Monthly Reporting

Pablo Sanchez
,
Industry Principal - Food & Beverages
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The Challenge

Three different sulphur production assets, S4, S5, and S6, operate in parallel within the plant. At the end of each month, engineers needed to calculate how many hours each asset had been in specific operating states, fed with acid gas, fed with ammonia gas in S6, in stand by, or out of service.

This task was manual, time consuming, and prone to inconsistencies. Extracting the correct time windows and aggregating durations required significant effort, especially when analyzing specific periods of interest.

  • Multiple operational statuses across three assets
  • Manual effort to calculate hours per status
  • Limited visibility into historical and current states
  • Time intensive monthly reporting process

The Approach

The team built a structured and automated monitoring framework to centralize sulphur unit status tracking.

  • Asset structure creation: A clear asset hierarchy was defined to represent sulphur production units
  • Status detection logic: Value Based Searches were configured to identify all relevant operational statuses
  • Automatic contextualization: Monitors were deployed to annotate past events and automatically detect and tag new ones
  • Live Gantt visualization: A real time Gantt chart view was created with each asset displayed on a separate row for intuitive tracking
  • Flexible analysis and export: Saved views allowed engineers to filter specific periods and export duration statistics with key variables
Multiple asset overview with different statuses as a Gantt Chart

Key Insight

By structuring asset states and automating status detection, operational reporting shifted from manual reconstruction to instant visualization and quantification.

Results

KPIResult
Asset visibilityLive Gantt chart of all sulphur units
Status detectionAutomatic identification of all operating modes
Time calculationInstant calculation of hours per status
Analysis flexibilityEasy filtering of specific time periods
Reporting efficiencySignificant reduction in manual reporting effort

The Takeaway

With automated status tracking and live visualization of sulphur production assets, engineers gained immediate clarity on operating patterns, drastically reduced reporting time, and ensured accurate monthly calculations, allowing them to focus on optimization rather than data compilation.

Oil & gas
Energy & natural resources
Operational Performance Management
Reporting Compliance & Safety
Production Reporting
Process Health Monitoring
Process Engineer
Operator
Plant Manager
Shift Lead
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The Challenge

Three different sulphur production assets, S4, S5, and S6, operate in parallel within the plant. At the end of each month, engineers needed to calculate how many hours each asset had been in specific operating states, fed with acid gas, fed with ammonia gas in S6, in stand by, or out of service.

This task was manual, time consuming, and prone to inconsistencies. Extracting the correct time windows and aggregating durations required significant effort, especially when analyzing specific periods of interest.

  • Multiple operational statuses across three assets
  • Manual effort to calculate hours per status
  • Limited visibility into historical and current states
  • Time intensive monthly reporting process

The Approach

The team built a structured and automated monitoring framework to centralize sulphur unit status tracking.

  • Asset structure creation: A clear asset hierarchy was defined to represent sulphur production units
  • Status detection logic: Value Based Searches were configured to identify all relevant operational statuses
  • Automatic contextualization: Monitors were deployed to annotate past events and automatically detect and tag new ones
  • Live Gantt visualization: A real time Gantt chart view was created with each asset displayed on a separate row for intuitive tracking
  • Flexible analysis and export: Saved views allowed engineers to filter specific periods and export duration statistics with key variables
Multiple asset overview with different statuses as a Gantt Chart

Key Insight

By structuring asset states and automating status detection, operational reporting shifted from manual reconstruction to instant visualization and quantification.

Results

KPIResult
Asset visibilityLive Gantt chart of all sulphur units
Status detectionAutomatic identification of all operating modes
Time calculationInstant calculation of hours per status
Analysis flexibilityEasy filtering of specific time periods
Reporting efficiencySignificant reduction in manual reporting effort

The Takeaway

With automated status tracking and live visualization of sulphur production assets, engineers gained immediate clarity on operating patterns, drastically reduced reporting time, and ensured accurate monthly calculations, allowing them to focus on optimization rather than data compilation.

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Share with a co-worker

The Challenge

Three different sulphur production assets, S4, S5, and S6, operate in parallel within the plant. At the end of each month, engineers needed to calculate how many hours each asset had been in specific operating states, fed with acid gas, fed with ammonia gas in S6, in stand by, or out of service.

This task was manual, time consuming, and prone to inconsistencies. Extracting the correct time windows and aggregating durations required significant effort, especially when analyzing specific periods of interest.

  • Multiple operational statuses across three assets
  • Manual effort to calculate hours per status
  • Limited visibility into historical and current states
  • Time intensive monthly reporting process

The Approach

The team built a structured and automated monitoring framework to centralize sulphur unit status tracking.

  • Asset structure creation: A clear asset hierarchy was defined to represent sulphur production units
  • Status detection logic: Value Based Searches were configured to identify all relevant operational statuses
  • Automatic contextualization: Monitors were deployed to annotate past events and automatically detect and tag new ones
  • Live Gantt visualization: A real time Gantt chart view was created with each asset displayed on a separate row for intuitive tracking
  • Flexible analysis and export: Saved views allowed engineers to filter specific periods and export duration statistics with key variables
Multiple asset overview with different statuses as a Gantt Chart

Key Insight

By structuring asset states and automating status detection, operational reporting shifted from manual reconstruction to instant visualization and quantification.

Results

KPIResult
Asset visibilityLive Gantt chart of all sulphur units
Status detectionAutomatic identification of all operating modes
Time calculationInstant calculation of hours per status
Analysis flexibilityEasy filtering of specific time periods
Reporting efficiencySignificant reduction in manual reporting effort

The Takeaway

With automated status tracking and live visualization of sulphur production assets, engineers gained immediate clarity on operating patterns, drastically reduced reporting time, and ensured accurate monthly calculations, allowing them to focus on optimization rather than data compilation.

Access now

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