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Mohammad Ali Ahmadi   Dr.  Research or Laboratory Scientist 
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Mohammad Ali Ahmadi published an article in October 2018.
Top co-authors See all
Alireza Bahadori

446 shared publications

School of Environment, Science & Engineering; Southern Cross University, P.O. Box 157 Lismore; New South Wales 2480 Australia

Z. Ahmad

162 shared publications

Department of Civil Engineering, Indian Institute of Technology, Roorkee, India

Amir H. Mohammadi

151 shared publications

Institut de Recherche en Génie Chimique et Pétrolier (IRGCP); Paris Cedex France

Mohammad Ali Ahmadi

123 shared publications

Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, Canada

Mohammad H. Ahmadi

117 shared publications

Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran

120
Publications
60
Reads
4
Downloads
201
Citations
Publication Record
Distribution of Articles published per year 
(2012 - 2018)
Total number of journals
published in
 
27
 
Publications See all
Article 0 Reads 0 Citations Determination of thermal conductivity ratio of CuO/ethylene glycol nanofluid by connectionist approach Mohammad-Ali Ahmadi, Mohammad Hossein Ahmadi, Morteza Fahim ... Published: 01 October 2018
Journal of the Taiwan Institute of Chemical Engineers, doi: 10.1016/j.jtice.2018.06.003
DOI See at publisher website
Article 0 Reads 1 Citation Spotlight on the New Natural Surfactant Flooding in Carbonate Rock Samples in Low Salinity Condition Mohammad Ali Ahmadi, Seyed Reza Shadizadeh Published: 20 July 2018
Scientific Reports, doi: 10.1038/s41598-018-29321-w
DOI See at publisher website ABS Show/hide abstract
Recently, utilization of surfactant for EOR purposes in carbonate petroleum reservoirs has received the attention of many researchers. Surfactants generally appear to improve oil production through wettability alteration and reduction of interfacial tension (IFT) between oil and water phases. Loss of surfactant due to adsorption process is considered as an unfavorable phenomenon in surfactant flooding while conducting an EOR operation. In this study, a new plant-derived surfactant, called Zyziphus Spina Christi (ZSC), with various magnitudes of salinity is employed. The adsorption behavior of this surfactant is investigated using the conductivity approach to explore the impacts of salt concentration on adsorption rate through batch tests. Core flooding tests are also conducted to study the effects of surfactant/salinity on recovery factor and relative permeability. Employing the kinetics and isotherm models, MgCl2 and KCl exhibit the greatest and lowest influence on the adsorption phenomenon, respectively. It is also concluded that the pseudo-second order kinetics and Freundlich isotherm model can satisfactorily describe the adsorption behavior of the surfactant onto carbonates in the presence of salt for the kinetics and equilibrium tests conditions, respectively. According to the production history, it is found that increasing surfactant concentration leads to a considerable increase in oil relative permeability and consequently improvement of oil recovery.
Article 1 Read 0 Citations Hybrid connectionist model determines CO2–oil swelling factor Mohammad Ali Ahmadi, Sohrab Zendehboudi, Lesley A. James Published: 26 April 2018
Petroleum Science, doi: 10.1007/s12182-018-0230-5
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In-depth understanding of interactions between crude oil and CO2 provides insight into the CO2-based enhanced oil recovery (EOR) process design and simulation. When CO2 contacts crude oil, the dissolution process takes place. This phenomenon results in the oil swelling, which depends on the temperature, pressure, and composition of the oil. The residual oil saturation in a CO2-based EOR process is inversely proportional to the oil swelling factor. Hence, it is important to estimate this influential parameter with high precision. The current study suggests the predictive model based on the least-squares support vector machine (LS-SVM) to calculate the CO2–oil swelling factor. A genetic algorithm is used to optimize hyperparameters (γ and σ2) of the LS-SVM model. This model showed a high coefficient of determination (R2 = 0.9953) and a low value for the mean-squared error (MSE = 0.0003) based on the available experimental data while estimating the CO2–oil swelling factor. It was found that LS-SVM is a straightforward and accurate method to determine the CO2–oil swelling factor with negligible uncertainty. This method can be incorporated in commercial reservoir simulators to include the effect of the CO2–oil swelling factor when adequate experimental data are not available.
Article 1 Read 0 Citations Developing a robust proxy model of CO 2 injection: Coupling Box–Behnken design and a connectionist method Mohammad Ali Ahmadi, Sohrab Zendehboudi, Lesley A. James Published: 01 March 2018
Fuel, doi: 10.1016/j.fuel.2017.11.030
DOI See at publisher website
Article 1 Read 0 Citations An accurate model to predict drilling fluid density at wellbore conditions Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, Kalpit Shah, Ali... Published: 01 March 2018
Egyptian Journal of Petroleum, doi: 10.1016/j.ejpe.2016.12.002
DOI See at publisher website
Article 7 Reads 5 Citations Thermal conductivity ratio prediction of Al 2 O 3 /water nanofluid by applying connectionist methods Mohammad Hossein Ahmadi, Mohammad Alhuyi Nazari, Roghayeh Gh... Published: 01 March 2018
Colloids and Surfaces A: Physicochemical and Engineering Aspects, doi: 10.1016/j.colsurfa.2018.01.030
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