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