Diagnosis of asphaltene stability in crude oil through "two parameters" SVM model

Ali Chamkalani (1) , Amir H. Mohammadi (2) , Ali Eslamimanesh (2) , Farhad Gharagheizi (3) , Dominique Richon (4, 5)

1 Department of Petroleum Engineering
2 CEP/Fontainebleau
3 Department of Chemical Engineering
4 Thermodynamics Research Unit
5 Center for Energy Resources Engineering

Asphaltene precipitation/deposition and its imposing difficulties are drastic issues in petroleum industry. Monitoring the asphaltene stability conditions in crude oil systems is still a challenge and has been subject of many studies. In this work, the Refractive Index (RI) of several oil samples is determined using the existing SARA fractions experimental data for this purpose. The powerful Least-Square modification of Support Vector Machine (LSSVM) strategy is applied to develop a computer program, by which the asphaltene stability region can be determined for various crudes. The developed two-parameter model results show 0.6% average absolute relative deviation from the corresponding RI experimental values, measured at 293.15. K and atmospheric pressure, and squared correlation coefficient of 0.722. In the final analysis, a comparison is implemented between the obtained results of the model and previously-presented empirical correlations available in open literature.

Mots clés: Asphaltene; Computer program; Diagnosis of stability; Refractive index; SARA; Support vector machine; Average absolute relative deviations; Crude oil system

Domaines: Génie des procédés

Ali Chamkalani, Amir H. Mohammadi, Ali Eslamimanesh, Farhad Gharagheizi, Dominique Richon. Diagnosis of asphaltene stability in crude oil through "two parameters" SVM model. Chemical Engineering Science, 2012, 81, pp.202-208. ⟨10.1016/j.ces.2012.06.060⟩. ⟨hal-00797436⟩