Journal ArticleDOI
Diagnosis of asphaltene stability in crude oil through “two parameters” SVM model
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In this paper, the 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.About:
This article is published in Chemical Engineering Science.The article was published on 2012-10-22. It has received 65 citations till now. The article focuses on the topics: Asphaltene.read more
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Toward mechanistic understanding of heavy crude oil/brine interfacial tension: The roles of salinity, temperature and pressure
Farzaneh Moeini,Abdolhossein Hemmati-Sarapardeh,Mohammad Hossein Ghazanfari,Mohsen Masihi,Shahab Ayatollahi +4 more
TL;DR: In this article, the sensitivity of dead heavy crude oil/brine IFT to a wide range of properties/conditions and reveal the underlying physicochemical mechanisms involved in enhanced oil recovery and IFT reduction by low salinity water injection into heavy oil reservoir.
Journal ArticleDOI
Intelligent model for prediction of CO2 – Reservoir oil minimum miscibility pressure
TL;DR: In this article, a least squares support vector machine (LSSVM) was proposed to predict pure and impure CO2 MMP. And the results show that the proposed model significantly outperforms all the existing methods and provides predictions in acceptable agreement with experimental data.
Journal ArticleDOI
Implementation of SVM framework to estimate PVT properties of reservoir oil
Shahin Rafiee-Taghanaki,Milad Arabloo,Ali Chamkalani,Ali Chamkalani,Mahmood Amani,Mohammad Hadi Zargari,Mohammad Reza Adelzadeh +6 more
TL;DR: Results from present research show that implementation of CSA-LSSVM in crudeOil PVT calculations can lead to more accurate and reliable estimation of reservoir oil PVT properties.
Journal ArticleDOI
Reservoir oil viscosity determination using a rigorous approach
Abdolhossein Hemmati-Sarapardeh,Amin Shokrollahi,Afshin Tatar,Farhad Gharagheizi,Farhad Gharagheizi,Amir H. Mohammadi,Ali Naseri +6 more
TL;DR: In this article, three least-squares support vector machine (LSSVM) models have been developed for prediction of reservoir oil viscosity in the three regions including, under-saturated, saturated and dead oil.
Journal ArticleDOI
Effects of Asphaltene Content and Temperature on Viscosity of Iranian Heavy Crude Oil: Experimental and Modeling Study
TL;DR: In this paper, the effects of asphaltene characteristics on the crude oil rheological properties have been experimentally and theoretically investigated using different classes of the suspension models, and the viscosity of the reconstituted heavy oil samples was measured using a rotational rheometer at seven different temperatures.
References
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Least Squares Support Vector Machine Classifiers
TL;DR: A least squares version for support vector machine (SVM) classifiers that follows from solving a set of linear equations, instead of quadratic programming for classical SVM's.
Book
The Chemistry and Technology of Petroleum
TL;DR: In this paper, Asphaltene used the data of the Data Structural Group Analysis (DSGAA) to determine the effect of various factors on the stability or instability of the Crude Oil System.
the utility of using the genetic algorithm approach on the problem of Davis, L. (1991), Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York.
TL;DR: The complex effect of genetic algorithm's (GA) operators and parameters to Davis (7) proposed a method that would make the operators evolve or adapt to the problem as Handbook of Genetic Algorithms.