Implementation of the Monte Carlo Library Least-Squares (MCLLS) approach for quantification of the chlorine impurity in an on-line crude oil monitoring system (CROSBI ID 278228)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Chang, Hao Ping ; Meric, Ilker ; Sudac, Davorin ; Nađ, Karlo ; Obhođaš, Jasmina ; Hou, Guojing ; Zhang, Yan ; Gardner, Robin P.
engleski
Implementation of the Monte Carlo Library Least-Squares (MCLLS) approach for quantification of the chlorine impurity in an on-line crude oil monitoring system
Prompt gamma-ray neutron activation analysis (PGNAA) has been widely used for elemental analysis of bulk samples as it provides an on- line, rapid and nondestructive means of performing such analysis. The Monte Carlo Library LeastSquares (MCLLS) approach is one of the methods for quantitative analysis providing elemental weight fractions via an assumption that the total prompt gamma-ray spectrum is a linear combination of the contributions from the individual prompt gamma-ray spectra of the sample constituents. For the generation of prompt gamma-ray libraries of each constituent, a specific purpose Monte Carlo code system called Center for Engineering Applications of Radioisotopes Coincidence Prompt Gamma-Ray (CEARCPG) is utilized. In this work, the focus was on detecting and measuring chlorine impurity in crude oil samples, i.e. trace amounts of chlorine. A preliminary study investigating the feasibility of PGNAA method in conjunction with the MCLLS approach for measuring trace amounts of chlorine in oil samples was performed. For this purpose, an extended version of the MCLLS approach, the so- called MCLLSX approach, was proposed and applied for the quantitative analysis. The results presented in this paper prove the feasibility of the proposed approach.
DT neutron generator ; PGNAA ; CEARCPG ; MCLLS/MCLLSX ; Crude oil ; Chlorine
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Podaci o izdanju
155
2019.
197-201
objavljeno
0969-806X
1879-0895
10.1016/j.radphyschem.2018.05.012