Statistically sound data reconciliation techniques to turn real-time flow, temperature, and composition data into reliable information
Improve Work Performance
Data Reconciliation uses statistically sound data reconciliation techniques to turn real-time flow, temperature, and composition data into reliable information. Data Reconciliation also tracks equipment performance and identifies gross errors in measurement, which improves work performance and in turn profitability.
Data Reconciliation Features
Data Reconciliation detects gross errors in measurements, pinpoints the error locations, and confirms the presence or absence of measurement redundancy, improving the quality of your real time data.
- Comprehensive data reconciliation for temperatures, flows and compositions
- Gross error detection
- Industry standard GUI
- Full model configuration for individual units or full plants
- Integrated physical properties
- Oil and Gas Production
- Gas Processing
- Metals/Minerals Processing
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