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Print 7263 Archive
Publication news
28 April, 2025A Joint Article by Professors of the Mathematics Department Published in “Iranian Journal of Science”
28 April, 2025An Article by a Professor of the Mathematics Department Published in “Filomat” Journal
18 March, 2025Mathematics Department Professor's Article Published in "Ural Mathematical Journal"
12 March, 2025Joint Article by Mathematics Department Professors Published in "Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes" Journal
20 February, 2025Mathematics Department Professor's Article Published in "Filomat" Journal
08 January, 2025Mathematics Department Professors' Joint Article Published in "Applicable Analysis and Discrete Mathematics" Journal
05 December, 2024Joint Article by Mathematics Department Professors Published in "Sahand Communications in Mathematical Analysis"
20 November, 2024Book by Head of Political Science and Philosophy Department Published in Persian in Iran
11 November, 2024Joint Article by Mathematics Department Professors Published in "Afrika Matematika" Journal
31 October, 2024Article by Head of Political Science and Philosophy Department Assoc. Prof. Orkhan Valiyev in the “Imgelem” Journal

Article by Khazar University scholar published in International Scientific Journal

Article entitled “Estimation of underground interwell connectivity: A data-driven technology” authored by Dr. Ehsan Jafari, Faculty member at Khazar University Department of Petroleum Engineering, was published in “Journal of the Taiwan Institute of Chemical Engineers”, an international journal from Elsevier collection. 

The researchers developed a novel data-driven approach that contributes to estimating the underground interwell connections through analyzing and processing the injection and production data of a petroleum reservoir. This novel data-driven technology is named Detection of Events (DoE) and combines with the Capacitance Resistance Model (CRM) to quantify the connections between injectors and producers. The proposed approach has been applied to both synthetic and field cases. The results of the method show a good agreement between CRM and DoE for the field case (75%), and present a good insight into the better understanding of the underground connections.

The article can be read at this link: 

https://doi.org/10.1016/j.jtice.2020.11.008

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