Abstract
Data reconciliation is a mathematical technique that uses process information to fulfill material and energy conservation laws. This technique adjusts random errors in the measured data in weighted least squares to satisfy mass and energy balance constraints. In this paper, data reconciliation is applied to a natural gas processing plant. Based on the measured data, the mass flow of output streams is greater than the mass flow of the raw feed to the plant which leads to an imbalance of about 7%.The global test is employed to check the presence of systematic errors (gross errors) in the measured data. The results indicate that there is no gross error in the measurements.
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