OEA21P-Data Reconciliation and Feedback

SKU: OEA21P Category:

The process measurements performed by chemical plants or refineries often do not meet the limits of material and energy balance. To comply with the process of elimination, engineers can adjust the errors by a method called data reconciliation. This topic will discuss identifying and correcting sources of error in blending operations.

Description

Due to the randomness of possible serious errors, the process measurements performed by chemical plants or refineries often do not meet the limits of material and energy balance. To comply with process limitations, engineers can adjust the randomness of the possible errors by a method called data reconciliation in a weighted least-squares sense. This topic will identify sources of errors in blending operations, analyzer dynamics, online analysis versus lab analysis, causes and remedy of online analysis errors, use of last good value and bias, flow correction methods, tank prediction bias, and final product prediction vs. lab analysis.

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