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Comparison of different methods to estimate the uncertainty in composition measurement by chromatography
Author(s) -
Aparicio Ariza Adriana Alexandra,
Ayala Blanco Elizabeth,
García Sánchez Luis Eduardo,
García Sánchez Carlos Eduardo
Publication year - 2015
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.201401420
Subject(s) - monte carlo method , gas chromatography , measurement uncertainty , uncertainty analysis , chromatography , uncertainty quantification , biological system , computer science , chemistry , statistics , mathematics , biology
Natural gas is a mixture that contains hydrocarbons and other compounds, such as CO 2 and N 2 . Natural gas composition is commonly measured by gas chromatography, and this measurement is important for the calculation of some thermodynamic properties that determine its commercial value. The estimation of uncertainty in chromatographic measurement is essential for an adequate presentation of the results and a necessary tool for supporting decision making. Various approaches have been proposed for the uncertainty estimation in chromatographic measurement. The present work is an evaluation of three approaches of uncertainty estimation, where two of them (guide to the expression of uncertainty in measurement method and prediction method) were compared with the Monte Carlo method, which has a wider scope of application. The aforementioned methods for uncertainty estimation were applied to gas chromatography assays of three different samples of natural gas. The results indicated that the prediction method and the guide to the expression of uncertainty in measurement method (in the simple version used) are not adequate to calculate the uncertainty in chromatography measurement, because uncertainty estimations obtained by those approaches are in general lower than those given by the Monte Carlo method.