1. Implementation of the Monte Carlo Library Least-Squares (MCLLS) approach for quantification of the chlorine impurity in an on-line crude oil monitoring system
- Author
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Ilker Meric, Jasmina Obhođaš, Yan Zhang, Guojing Hou, Karlo Nađ, Hao Ping Chang, Robin P. Gardner, and Davorin Sudac
- Subjects
Radiation ,Trace Amounts ,010308 nuclear & particles physics ,business.industry ,Astrophysics::High Energy Astrophysical Phenomena ,Monte Carlo method ,chemistry.chemical_element ,01 natural sciences ,Least squares ,DT neutron generator ,PGNAA ,CEARCPG ,MCLLS/MCLLSX ,Crude oil ,Chlorine ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,chemistry ,Elemental analysis ,Impurity ,0103 physical sciences ,Line (geometry) ,Environmental science ,Neutron activation analysis ,Process engineering ,business - Abstract
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 non-destructive means of performing such analysis. The Monte Carlo Library Least-Squares (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.
- Published
- 2019
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