Multi-criteria decision making development of ion chromatographic method for determination of inorganic anions in oilfield waters based on artificial neural networks retention model
| Autor: | Šime Ukić, Štefica Cerjan Stefanović, Tomislav Bolanča, Marko Rogošić, Melita Luša |
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| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Chromatography
Artificial neural network Chemistry Retention distance Biochemistry Analytical Chemistry Multi criteria decision Matrix (chemical analysis) Development (topology) Robustness (computer science) Environmental Chemistry Separation method ion chromatography artificial neural network multi-criteria decision making oilfield water Spectroscopy Reliability (statistics) |
| Popis: | This paper describes the development of ad hoc methodology for determination of inorganic anions in oilfield water, since their composition often significantly differs from the average (concentration of components and/or matrix). Therefore, fast and reliable method development has to be performed in order to ensure the monitoring of desired properties under new conditions. The method development was based on computer assisted multi-criteria decision making strategy. The used criteria were: maximal value of objective functions used, maximal robustness of the separation method, minimal analysis time, and maximal retention distance between two nearest components. Artificial neural networks were used for modeling of anion retention. The reliability of developed method was extensively tested by the validation of performance characteristics. Based on validation results, the developed method shows satisfactory performance characteristics, proving the successful application of computer assisted methodology in the described case study. |
| Databáze: | OpenAIRE |
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