Tamer Moussa, PhD, P.Eng

Postdoctoral Scholars, Faculty of Engineering - Civil and Environmental Engineering Dept

Contact Publications

Contact

Postdoctoral Scholars, Faculty of Engineering - Civil and Environmental Engineering Dept

Email: tmoussa@ualberta.ca

Featured Publications

Completion Design Optimization as a Function of Reservoir Quality in Tight Reservoirs: A Big Data Approach

Tamer Moussa, Hassan Dehghanpour

SPE Journal. 2025 February; 10.2118/223954-pa

A Key Performance Driver Type Curve: Correlating Well Productivity to Oil Wettability

Tamer Moussa, Amin Alinejad, Muhammad Zubair, Hassan Dehghanpour

Proceedings of the 2025 Unconventional Resources Technology Conference. 2025 January; 10.15530/urtec-2025-4259080

A Hybrid Analytical and Data-Driven Approach for Improved Prediction of Recovery Performance in Tight Oil Reservoirs

Tamer Moussa, Hassan Dehghanpour

SPE Journal. 2023 December; 10.2118/217443-pa

Estimating formation and fracturing water production using simple diagnostic plots

Zhanyuan Liu, Tamer Moussa, Hassan Dehghanpour

Geoenergy Science and Engineering. 2023 December; 10.1016/j.geoen.2023.212127

Parent Well Characterization by Comparative Analysis of Initial and Second Flowback

Chong Cao, Tamer Moussa, Hassan Dehghanpour

SPE Hydraulic Fracturing Technology Conference and Exhibition. 2023 January; 10.2118/212368-ms

Evaluating geothermal energy production from suspended oil and gas wells by using data mining

Tamer Moussa, Hassan Dehghanpour

Renewable Energy. 2022 August; 10.1016/j.renene.2022.06.090

A Self-Adaptive Artificial Neural Network Technique to Estimate Static Young's Modulus Based on Well Logs

Ahmed Abdulhamid Mahmoud, Salaheldin Elkatatny, Abdulwahab Ali, Tamer Moussa

SPE Conference at Oman Petroleum & Energy Show. 2022 March; 10.2118/200139-ms

Flowback Pattern-Recognition to Distinguish Between Formation and Fracturing Water Recovery

Zhanyuan Liu, Tamer Moussa, Hassan Dehghanpour

SPE Canadian Energy Technology Conference. 2022 March; 10.2118/208959-ms

Linking Flowback Recovery to Completion Efficiency: Niobrara-DJ Basin Case Study

Tamer Moussa, Jessica Barhaug, Darby Witt, Robert Hawkes, Hassan Dehghanpour

SPE Hydraulic Fracturing Technology Conference and Exhibition. 2022 January; 10.2118/209136-ms

Reservoir Quality Versus Completion Intensity: An Application of Supervised Fuzzy Clustering on Western Canadian Well Data

Tamer Moussa, Hassan Dehghanpour, Melanie Popp

SPE Hydraulic Fracturing Technology Conference and Exhibition. 2021 April; 10.2118/204194-ms

The use of flowback data for estimating dynamic fracture volume and its correlation with completion-design parameters: Eagle Ford cases

Tamer Moussa, Hassan Dehghanpour, Yingkun Fu, Obinna Ezulike

Journal of Petroleum Science and Engineering. 2020 December; 10.1016/j.petrol.2020.107584

Coupled Versus Stratified Flow of Water and Hydrocarbon During Flowback and Post-flowback Processes

Tamer Moussa, Yingkun Fu, Hassan Dehghanpour, Robert Hawkes

SPE Annual Technical Conference and Exhibition. 2020 October; 10.2118/201464-ms

An Integrated Field and Simulation Study to Understand the Role of Shut-in on a Montney Well Performance

Taregh Soleiman Asl, Tamer Moussa, Obinna Ezulike, Hassan Dehghanpour

SPE Canada Unconventional Resources Conference. 2020 September; 10.2118/199998-ms

Artificial Neural Networks Model for Prediction of the Rate of Penetration While Horizontally Drilling Carbonate Formations

2020 June;

Prediction of the Rate of Penetration while Drilling Horizontal Carbonate Reservoirs Using the Self-Adaptive Artificial Neural Networks Technique

Ahmad Al-AbdulJabbar, Salaheldin Elkatatny, Ahmed Abdulhamid Mahmoud, Tamer Moussa, Dhafer Al-Shehri, Mahmoud Abughaban, Abdullah Al-Yami

Sustainability. 2020 February; 10.3390/su12041376

Comparative Analysis Between Different Artificial Based Models for Predicting Static Poisson’s Ratio of Sandstone Formations

Ahmed Gowida, Salaheldin Elkatatny, Tamer Moussa

International Petroleum Technology Conference. 2020 January; 10.2523/iptc-20208-ms

A Hybrid Artificial Intelligence Model to Predict the Elastic Behavior of Sandstone Rocks

Ahmed Gowida, Tamer Moussa, Salaheldin Elkatatny, Abdulwahab Ali

Sustainability. 2019 September; 10.3390/su11195283

Estimation of Static Young’s Modulus for Sandstone Formation Using Artificial Neural Networks

Ahmed Abdulhamid Mahmoud, Salaheldin Elkatatny, Abdulwahab Ali, Tamer Moussa

Energies. 2019 June; 10.3390/en12112125

Performance and Economic Analysis of SAGD and VAPEX Recovery Processes

Tamer Moussa

Arabian Journal for Science and Engineering. 2019 June; 10.1007/s13369-018-3665-5

Feasibility Study of Heavy oil Recovery Using In-situ Steam Generated by Thermochemicals

Tamer Moussa, Shirish Patil, Mohamed Mahmoud

SPE Western Regional Meeting. 2019 April; 10.2118/195358-ms

Real-Time Determination of Rheological Properties of Spud Drilling Fluids Using a Hybrid Artificial Intelligence Technique

Khaled Abdelgawad, Salaheldin Elkatatny, Tamer Moussa, Mohamed Mahmoud, Shirish Patil

Journal of Energy Resources Technology. 2019 March; 10.1115/1.4042233

Well-Placement Optimization in Heavy Oil Reservoirs Using a Novel Method of In Situ Steam Generation

Tamer Moussa, Mohamed Mahmoud, Esmail M. A. Mokheimer, Mohamed A. Habib, Salaheldin Elkatatny

Journal of Energy Resources Technology. 2019 March; 10.1115/1.4041613

Dynamic Fracture Volume Estimation using Flowback Data Analysis and its Correlation to Completion-Design Parameters

Tamer Moussa, Hassan Dehghanpour, Yingkun Fu, Obinna Ezulike

SPE Hydraulic Fracturing Technology Conference and Exhibition. 2019 January; 10.2118/194322-ms

A Self-Adaptive Artificial Intelligence Technique to Predict Oil Pressure Volume Temperature Properties

Salaheldin Elkatatny, Tamer Moussa, Abdulazeez Abdulraheem, Mohamed Mahmoud

Energies. 2018 December; 10.3390/en11123490

Optimization of a Thermochemical Recovery Process Using Global Optimization Methods to Enhance Heavy Oil Recovery

Tamer Moussa, Mohamed Mahmoud, Shirish Patil, Salaheldin Elkatatny, Khaled Abdelgawad

SPE International Heavy Oil Conference and Exhibition. 2018 December; 10.2118/193791-ms

Self-adaptive differential evolution with a novel adaptation technique and its application to optimize ES-SAGD recovery process

Tamer M. Moussa, Abeeb A. Awotunde

Computers & Chemical Engineering. 2018 October; 10.1016/j.compchemeng.2018.07.018

Development of New Permeability Formulation From Well Log Data Using Artificial Intelligence Approaches

Tamer Moussa, Salaheldin Elkatatny, Mohamed Mahmoud, Abdulazeez Abdulraheem

Journal of Energy Resources Technology. 2018 July; 10.1115/1.4039270

A New Approach to Determine the Rheology Parameters for Water-Based Drilling Fluid Using Artificial Neural Network

Salaheldin Elkatatny, Tamer Mousa, Mohamed Mahmoud

SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition. 2018 April; 10.2118/192190-ms

Performance and Economic Analysis of a Novel Heavy Oil Recovery Process Using In-Situ Steam and Nitrogen Generated by Thermochemicals

Tamer Moussa, Shirish Patil, Mohamed Mahmoud

SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition. 2018 April; 10.2118/192432-ms

Real Time Determination of Rheological Properties of Spud Drilling Fluids Using a Hybrid Artificial Intelligence Technique

Khaled Abdelgawad, Salaheldin Elkatatny, Tamer Mousa, Mohamed Mahmoud, Shirish Patil

SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition. 2018 April; 10.2118/192257-ms

Well-Placement Optimization in a Novel Heavy Oil Recovery Process Using In-Situ Steam Generated by Thermochemicals

Tamer Moussa, Shirish Patil, Mohamed Mahmoud, Salaheldin Elkatatny

SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition. 2018 April; 10.2118/192378-ms

Performance Analysis of a Novel Heavy Oil Recovery Process Using In-Situ Steam Generated by Thermochemicals

T. M. Moussa, S. Patil, M. A. Mahmoud

SPE Western Regional Meeting. 2018 April; 10.2118/190074-ms

Automated Well Test Analysis Utilizing Self-Adaptive Differential Evolution Method

T. M. Moussa, R. M. Alloush, M. B. Issaka

Abu Dhabi International Petroleum Exhibition & Conference. 2017 November; 10.2118/188857-ms

Estimation of Geomechanical Failure Parameters from Well Logs Using Artificial Intelligence Techniques

R. M. Alloush, S. M. Elkatatny, M. A. Mahmoud, T. M. Moussa, A. Z. Ali, A. Abdulraheem

SPE Kuwait Oil & Gas Show and Conference. 2017 October; 10.2118/187625-ms

A Hybrid Artificial Intelligence Method to Predict Gas Solubility and Bubble Point Pressure

Tamer Moussa, Salaheldin Elkatatny, Abdulazeez Abdulraheem, Mohamed Mahmoud, Rami Alloush

SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition. 2017 April; 10.2118/188102-ms

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