Publisher
Springer Nature Singapore
Reference10 articles.
1. Elkatatny, S., Mahmoud, M., Zeeshan, T., Abdulraheem, A.: New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligent network. Neural Comput. Appl.Comput. Appl. 30, 2673–2683 (2018). https://doi.org/10.1007/s00521-017-2850-x
2. Eyvazov, J., Guliyeva, M., Guliyev, U., Samedov, Y.: Determination the optimum oil viscosity reduction range and steam injection rate for heavy oil field. In: “Khazarneftgazyatag – 2022” Scientific-Practical Conference, Baku, Azerbaijan, 6–7 December 2022, pp. 170–174 (2022)
3. Han, B.B., Cheng, W.L., Nian, Y.L.: Experimental study on effect of temperature field on recovery of reservoir using hot water flooding. Energy Procedia 142, 3759–3765 (2017)
4. Hassan, A.M., Hossain, M.E.: Coupling memory-based diffusivity model with energy balance equation to estimate temperature distributions during thermal EOR process. SPE-182767-MS Presented at the SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition held in Dammam, Saudi Arabia (2016)
5. Hossain, M.E., Abu-Khamsin, S.A., Al-Helali, A.: Use of the memory concept to investigate the temperature profile during thermal EOR process. Presented at the 2011 SPE Saudi Arabia Section Technical Symposium and Exhibition Held in Al-Khobar, Saudi Arabia, 15–18 May 2011. SPE – 149094-MS (2011)