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Title: Data Reconciliation In Microcosm Reducing- DP Meter Uncertainty
Author: Allan Wilson, Phil Stockton, Richard Steven
Source: 2019 North Sea Flow Measurement Workshop
Year Published: 2019
Abstract: The hydrocarbon production industry runs large complex pipework systems with numerous and varied equipment such as multiple valves, pressure and temperature sensors, flow meters etc. However, due to the inherent uncertainty in each equipment setting and instrumentation output, the resulting massed raw data can be somewhat inconsistent. As such industry applies Data reconciliation techniques on the macro overall pipe system. Such techniques involve mathematical procedures that combine a pipeworks multiple instrumentation readings, equipment settings, associated uncertainties, and governing physical laws, to automatically validate data and reconcile measurements such that the whole makes physical sense. The technique can improve best estimates of not just measured system variables but even unmeasured variables. The technique transforms raw and sometimes inconsistent data sets into a single consistent data set representing the most likely truth.In this paper,the technique often applied on this macro scale,is introduced to the micro scale of an individual meter system. In the macro scale data reconciliation, the flow meter system is treated like any other instrument output, i.e. as a single node, a single point measurement. There has not been any attempt to take a flow meter designs sub-systems and develop mathematical techniques specifically tailored to the internal operation of that specific metering system for the purpose of improving that the individual flow meters performance, for all the advantages that would entail.

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