Optimized machine learning models for natural fractures prediction using conventional well logs von Tabasi, Somayeh, Soltani Tehrani, Pezhman, Rajabi, Meysam, Wood, David A., Davoodi, Shadfar, Ghorbani, Hamzeh, Mohamadian, Nima, Ahmadi Alvar, Mehdi

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Prediction of Bubble Point Pressure Using New Hybrid Computational Intelligence Models von Mohammad Naveshki, Ali Naghiei, Pezhman Soltani Tehrani, Mehdi Ahmadi Alvar, Hamzeh Ghorbani, Nima Mohamadian, Jamshid Moghadasi

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Laboratory study of polymer injection into heavy oil unconventional reservoirs to enhance oil recovery and determination of optimal injection concentration von Tehrani, Pezhman Soltani, Ghorbani, Hamzeh, Lajmorak, Sahar, Molaei, Omid, Radwan, Ahmed E, Ghaleh, Saeed Parvizi

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Predicting oil flow rate through orifice plate with robust machine learning algorithms von Behesht Abad, Abouzar Rajabi, Tehrani, Pezhman Soltani, Naveshki, Mohammad, Ghorbani, Hamzeh, Mohamadian, Nima, Davoodi, Shadfar, Aghdam, Saeed Khezerloo-ye, Moghadasi, Jamshid, Saberi, Hossein

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Prediction of Bubble Point Pressure Using New Hybrid Computationail Intelligence Models von Mohammad Naveshki, Ali Naghiei, Pezhman Soltani Tehrani, Mehdi Ahmadi Alvar, Hamzeh Ghorbani, Nima Mohamadian, Jamshid Moghadasi

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Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms von Rajabi, Meysam, Hazbeh, Omid, Davoodi, Shadfar, Wood, David A., Tehrani, Pezhman Soltani, Ghorbani, Hamzeh, Mehrad, Mohammad, Mohamadian, Nima, Rukavishnikov, Valeriy S., Radwan, Ahmed E.

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