| Performance Forecasting for Polymer Flooding in Heavy Oil Reservoirs E. Amirian, M. Dejam, Z. Chen Fuel 216, 83–100, 2018 | 158 | 2018 |
| Integrated cluster analysis and artificial neural network modeling for steam-assisted gravity drainage performance prediction in heterogeneous reservoirs E Amirian, JY Leung, S Zanon, P Dzurman Expert Systems with Applications 42 (2), 723-740, 2015 | 87 | 2015 |
| Data-driven modeling approach for recovery performance prediction in SAGD operations E Amirian, JY Leung, S Zanon, P Dzurman SPE Canada Heavy Oil Conference, SPE-165557-MS, 2013 | 49 | 2013 |
| Artificial neural network modeling and forecasting of oil reservoir performance E Amirian, E Fedutenko, C Yang, Z Chen, L Nghiem Applications of Data Management and Analysis: Case Studies in Social …, 2018 | 33 | 2018 |
| Evaluating the impact of mechanical properties of kerogen on hydraulic fracturing of organic rich formations S Khatibi, A Aghajanpour, M Ostadhassan, E Ghanbari, E Amirian, ... SPE Canada Unconventional Resources Conference?, D011S003R006, 2018 | 23 | 2018 |
| Cognitive Data-Driven Proxy Modeling for Performance Forecasting of Waterflooding Process E Amirian, Z Chen Global Journal of Technology and Optimization 8 (1), 2017 | 19 | 2017 |
| Eagle ford-introducing the big bad wolf S Malo, J McNamara, N Volkmer, E Amirian SPE/AAPG/SEG Unconventional Resources Technology Conference, D033S060R004, 2019 | 18 | 2019 |
| An integrated application of cluster analysis and artificial neural networks for SAGD recovery performance prediction in Heterogeneous Reservoirs E Amirian, JY Leung, SD Zanon, PJ Dzurman SPE Canada Heavy Oil Conference, D011S004R003, 2014 | 13 | 2014 |
| Applications of data management and analysis E Amirian, E Fedutenko, C Yang, Z Chen, L Nghiem Springer, 1, 2018 | 7 | 2018 |
| Practical application of data-driven modeling approach during waterflooding operations in heterogeneous reservoirs E Amirian, Z Chen SPE Western Regional Meeting, SPE-174031-MS, 2015 | 5 | 2015 |
| Sensitivity analysis to operational parameters of the offset well during fast-SAGD process in naturally fractured reservoir IR Kivi, HH Kiasari, E Amirian, A Rabbani, BS Sola Petroleum science and technology 31 (11), 1123-1134, 2013 | 3 | 2013 |
| IMGESA (Integrated Meteorological and Geohazard System Advisory) as Predictive Analytics Tool for Managing Geohazard Impacts to Pipeline MJB Rohani, AB A. Rahman, MSKB Abdullah, MNB Ali, IWE Putra, ... Abu Dhabi International Petroleum Exhibition and Conference, D021S038R004, 2022 | 2 | 2022 |
| Synergizing Hybrid Agile-Scrum and CRISP-DM Approaches in Data Science Project Management E Amirian, A Abdollahzadeh, N Sulaiman SPE Canadian Energy Technology Conference, D021S017R001, 2024 | 1 | 2024 |
| CLARITY: Harnessing Advanced Analytics for Intelligent Water Management E Amirian, S Madalan, A Abdollahzadeh, IF Ariff, MAC Pun, N Ramly EAGE Workshop on Data Science-From Fundamentals to Opportunities 2023 (1), 1-3, 2023 | | 2023 |
| Integrated Meteorological and Geohazard System Advisory (iMGESA) for Pipeline Integrity E Amirian, TX Moy, MNA Ahmad, A Abdollahzadeh, MJ Rohani, ... EAGE Workshop on Data Science-From Fundamentals to Opportunities 2023 (1), 1-3, 2023 | | 2023 |
| Data-Driven Analytics for Oil and Gas Reservoir Production Forecasting E Amirian | | 2018 |
| Data-Driven Proxy Modeling during SAGD Operations in Heterogeneous Reservoirs E Amirian | | 2014 |
| Priority-Setting in SAGD Data-Driven Proxy Modeling E Amirian, Z Chen | | |
Zhangxin ChenUniversity of Calgary在 ucalgary.ca 的电子邮件经过验证
Zhangxin ChenUniversity of Calgary在 ucalgary.ca 的电子邮件经过验证
Juliana Y. LeungProfessor, University of Alberta在 ualberta.ca 的电子邮件经过验证