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Data reconciliation with application to a natural gas processing plant

Rafiee, Ahmad and Behrouzshad, Flor 2016. Data reconciliation with application to a natural gas processing plant. Journal of Natural Gas Science and Engineering 31 , pp. 538-545. 10.1016/j.jngse.2016.03.071

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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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TS Manufactures
Uncontrolled Keywords: Mass and energy balance; Data reconciliation; Natural gas processing plant; Gross error detection
Publisher: Elsevier
ISSN: 1875-5100
Date of Acceptance: 22 March 2016
Last Modified: 04 Jun 2017 09:50
URI: http://orca.cf.ac.uk/id/eprint/100716

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