A Comparison between the Perturbed-Chain Statistical Associating Fluid Theory Equation of State and Machine Learning Modeling Approaches in Asphaltene Onset Pressure and Bubble Point Pressure Prediction during Gas Injection.

Tazikeh, Simin; Davoudi, Abdollah; Shafiei, Ali; Parsaei, Hossein; Atabaev, Timur Sh; Ivakhnenko, Oleksandr P

Tazikeh, Simin; Davoudi, Abdollah; Shafiei, Ali; Parsaei, Hossein; Atabaev, Timur Sh; Ivakhnenko, Oleksandr P.

Afiliación

Tazikeh S; Petroleum Engineering Program, School of Mining and Geosciences, Nazarbayev University, 53 Kabanbay Batyr Avenue, Nur-Sultan 010000, Kazakhstan.
Davoudi A; Department of Petroleum Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Shiraz 71348-14336, Iran.
Shafiei A; Petroleum Engineering Program, School of Mining and Geosciences, Nazarbayev University, 53 Kabanbay Batyr Avenue, Nur-Sultan 010000, Kazakhstan.
Parsaei H; Department of Medical Physics and Engineering, School of Medicine, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran.
Atabaev TS; Department of Chemistry, Nazarbayev University, Nur-Sultan 010000, Kazakhstan.
Ivakhnenko OP; Department of Petroleum Engineering, Kazakh British Technical University, Almaty 050000, Kazakhstan.

ACS Omega ; 7(34): 30113-30124, 2022 Aug 30.

Article en En | MEDLINE | ID: mdl-36061711

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: ACS Omega Año: 2022 Tipo del documento: Article País de afiliación: Kazajstán Pais de publicación: Estados Unidos

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