off-sites

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Tuesday, 08 December 2009 08:44

Off-sites Suite's MAB Released

As from the 1.3 release, the Off-sites Suite contains a new module; Material Balance (MAB).

With MAB, a complete and extensive material accounting tool specifically tailored for the Off-sites Suite is introduced. The scope of the Off-sites Suite starts in the operational domain, where the focus is the improvement of data quality. With MAB the transition from operations to accounting will be even smoother, as the data quality is further improved.

MAB is based around the historic operational data from TIS and OMM. In theory, the tank level change over a day should be in accordance to the net movements in that day. In practice, discrepancies can occur. These discrepancies can cause an imbalance on the tank, the tank group, the product and the area. The source of these discrepancies could be a measurement error or an operational problem.

MAB does first-principals based material balance calculations on all relevant levels (plant, area, tank groups, individual tank, internal line, pipeline systems) for any relevant time interval (day, week, month, quarter, year), using different perspectives (inventory, product, import/export, ownership etc.). The result of these calculations (imbalances) can be quickly evaluated against the accuracy of measurement devices and the cause of the imbalance can easily be found by the user with the expert guidance functions. Imbalances can be attributed to a cause with a transaction or the actual data can be adjusted by the accountant. Finally a validated and consistent dataset can be reported.

In the module the user is helped with trends, coloring, data export functionality and customized graphics that make the large amounts of complex data involved quickly interpretable. Material Balance can provide full transparency of the operations to the business by showing in one application the relation between DCS level data, Operational level data and Accounting level data. On top of that it will provide the necessary insights into possible systematic errors and thereby increases the number of opportunities to improve daily operations.

Contact us for more information or a demonstration!

 

 

 

 

Last Updated ( Friday, 11 December 2009 12:22 )