October 27, 2020

OEA21P-Data Reconciliation and Feedback

This topic discusses identifying error sources during blending, online vs. lab analysis, flow correction, etc.

  • Suresh Agrawal
    Suresh Agrawal
    Contributor

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This topic discusses identifying error sources during blending, online vs. lab analysis, flow correction, etc.

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SKU: OEA21P Category:

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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