Higher Degree by Research Candidate
Australian School of Petroleum & Energy Resources
Faculty of Engineering, Computer and Mathematical Sciences
Year Citation 2016 Ghassemzadeh, S., & Charkhi, A. H. (2016). Optimization of integrated production system using advanced proxy based models: A new approach. Journal of Natural Gas Science and Engineering, 35, 89-96.
DOI Scopus10 WoS8
2015 Ghassemzadeh, S., & Pourafshary, P. (2015). Development of an intelligent economic model to optimize the initiation time of gas lift operation. Journal of Petroleum Exploration and Production Technology, 5(3), 315-320.
2014 Ghassemzadeh, S., Schaffie, M., Sarrafi, A., & Ranjbar, M. (2014). Predicting dew point pressure: Using a hybrid intelligent network. Petroleum Science and Technology, 32(24), 2969-2975.
DOI Scopus3 WoS2
2013 Ghassemzadeh, S., Shafflie, M., Sarrafi, A., & Ranjbar, M. (2013). The importance of normalization in predicting dew point pressure by ANFIS. Petroleum Science and Technology, 31(10), 1040-1047.
DOI Scopus5 WoS5
Year Citation 2020 Ghassemzadeh, S., Perdomo, M. G., Abbasnejad, E., & Haghighi, M. (2020). Modelling hydraulically fractured tight gas reservoirs with an artificial intelligence (AI)-based simulator, deep net simulator (DNS). In 1st EAGE Digitalization Conference and Exhibition. European Association of Geoscientists & Engineers.
2019 Ghassemzadeh, S., Gonzalez Perdomo, M., & Haghigh, M. (2019). Application of deep learning in reservoir simulation. In 4th EAGE Conference on Petroleum Geostatistics. European Association of Geoscientists & Engineers.
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