Introducing a new method for predicting PVT properties of Iranian crude oils by applying artificial neural networks

J. Naseryan Moghadam; K. Salahshoor; R. Kharrat

doi:10.1080/10916460903551040

Introducing a new method for predicting PVT properties of Iranian crude oils by applying artificial neural networks

J. Naseryan Moghadam, K. Salahshoor, R. Kharrat

Lehrstuhl für Reservoir Engineering (570)

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Begutachtung

31 Zitate (Scopus)

Originalsprache	Englisch
Seiten (von - bis)	1066-1079
Seitenumfang	14
Fachzeitschrift	Petroleum science and technology
Jahrgang	29
Ausgabenummer	10
DOIs	https://doi.org/10.1080/10916460903551040
Publikationsstatus	Veröffentlicht - Jan. 2011

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10.1080/10916460903551040

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Verknüpfung zur Publikation in Scopus

Dieses zitieren

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title = "Introducing a new method for predicting PVT properties of Iranian crude oils by applying artificial neural networks",

keywords = "artificial neural network, bubble point pressure, cross validation data set, oil formation volume factor, PVT correlations, PVT properties, training data set",

author = "Moghadam, {J. Naseryan} and K. Salahshoor and R. Kharrat",

year = "2011",

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