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Data Reconciliation
Instrument readings are inaccurate and do not satisfy
conservation laws. In many facilities, plant operators still
assume that their readings are accurate enough for their
monitoring and control purposes. As imbalances create
conflicts with production accounting clerks, balances are
closed using several ad-hoc techniques, such as eliminating
some measurements or correcting those that in the experience
of the operator are less trustworthy. These have proven to be
inadequate practices. Formal data reconciliation should be
implemented using redundant data.
By the application of
the Data Reconciliation Techniques, several objectives can be achieved:
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Mass balancing with
improved accuracy of production rates, beyond those of the instrument
readings.
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Improved instrument
maintenance. A list of suspected biased instrumentation is provided daily.
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Improved leak
detection. A list of possible leaks is provided daily.
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Improved parameter
values for Simulation/Optimization studies.
Why do you need independent assessment?
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You need to know when Data reconciliation will make a difference.
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You need to know what software in the market is good for your
plant, independently form what the vendors say.
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You need to determine what the
software you bought can and cannot do.
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You need to know if
additional data processing to what the software you bought is needed.
We
can offer some add on routines for bias detection
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