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pro vyhledávání: '"A.A. Muhammadain"'
Autor:
Syed Shujath Ali, Abdulazeez Abdulraheem, A.A. Muhammadain, Muhammad Ali Al-Marhoun, S. Nizamuddin
Publikováno v:
Petroleum Science and Technology. 32:1720-1728
In the present study, an artificial neural network (ANN) constitutive model was developed to predict bubble point pressure for the case of Canadian data. The accuracy of prediction of bubble point pressure was compared using two sets of inputs to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e012912ccf54a3544007eb5366b119a2
https://doi.org/10.1080/10916466.2012.707267
https://doi.org/10.1080/10916466.2012.707267
Autor:
A.A. Muhammadain, S. Shujath Ali, Abdul Azeez Abdul Raheem, S. Nizamuddin, Muhammad Ali Al-Marhoun
Publikováno v:
Journal of Petroleum Science and Engineering. :111-117
Viscosity of crude oil is an important physical property that controls and influences the flow of oil through rock pores and eventually dictating oil recovery. Prediction of crude oil viscosity is one of the major challenges faced by petroleum engine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::757fd39cb975cd24c67b4bfc9f5afb26
https://doi.org/10.1016/j.petrol.2012.03.029
https://doi.org/10.1016/j.petrol.2012.03.029
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