Saeed Khezerloo-ye Aghdam

发表

Comparison of accuracy and computational performance between the machine learning algorithms for rate of penetration in directional drilling well

Jamshid Moghadasi, Hamzeh Ghorbani, Nima Mohamadian, 2021 .

Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields

Hamid Reza Nasriani, Hamzeh Ghorbani, Mohammad Mehrad, 2022, Fuel.

A triterpenoid saponin as an environmental friendly and biodegradable clay swelling inhibitor

Sohrab Zendehboudi, Khalil Shahbazi, Aghil Moslemizadeh, 2017 .

Assessment of swelling inhibitive effect of CTAB adsorption on montmorillonite in aqueous phase

Khalil Shahbazi, Aghil Moslemizadeh, Saeed Khezerloo-ye Aghdam, 2016 .

A laboratory study of a novel bio-based nonionic surfactant to mitigate clay swelling

Saeed Khezerloo-ye Aghdam, M. Ahmadi, A. Kazemi, 2021, Petroleum.

Modeling subcritical multi-phase flow through surface chokes with new production parameters

Saeed Khezerloo-ye Aghdam, M. Madani, Peyman Abbasi, 2022, Flow Measurement and Instrumentation.

Thermodynamic Modeling of Saponin Adsorption Behavior on Sandstone Rocks: An Experimental Study

Saeed Khezerloo-ye Aghdam, A. Kazemi, M. Ahmadi, 2022, Arabian Journal for Science and Engineering.

Predicting oil flow rate through orifice plate with robust machine learning algorithms

Saeed Khezerloo-ye Aghdam, Pezhman Soltani Tehrani, N. Mohamadian, 2021, Flow Measurement and Instrumentation.

Theoretical and Experimental Study of Fine Migration During Low-Salinity Water Flooding: Effect of Brine Composition on Interparticle Forces

Saeed Khezerloo-ye Aghdam, Mohammad Ahmadi, A. Kazemi, 2022, SPE Reservoir Evaluation & Engineering.

Prediction of Shear Wave Velocity by Extreme Learning Machine Technique from Well Log Data

Saeed Khezerloo-ye Aghdam, M. Rajabi, Hamzeh Ghorbani, 2022 .

Studying the effect of various surfactants on the possibility and intensity of fine migration during low-salinity water flooding in clay-rich sandstones

Saeed Khezerloo-ye Aghdam, A. Kazemi, M. Ahmadi, 2023, Results in Engineering.

Sensitivity analysis of effective factors for estimating formation pore pressure using a new method: the LSSVM-PSO algorithm

Saeed Khezerloo-ye Aghdam, Meysam Rajabi, Hamzeh Ghorbani, 2022 .