Doaa Saleh Mahdi
lecturer
Doaa Saleh Mahdi is a Lecturer in Department of Petroleum Engineering, University of Technology-Iraq. Doaa holds MSc, and B.Sc. degrees in Petroleum Engineering from University of Baghdad. Her research interests are in drilling engineering, drilling mud, geomechanics, reservoir engineering, and reservoir simulation
Title
- lecturer
Education
2021 – Present University of Baghdad, PhD Student Major: Petroleum Engineering
2009 – 2012 University of Baghdad, M.Sc. Major: Petroleum Engineering
2004 – 2008 University of Baghdad, B.Sc. Major: Petroleum Engineering
Research Interests
My research interests are in Enhanced Oil recovery, Reservoir simulation, Drilling Engineering, Drilling fluid, CO2 injection in oil reservoirs, Oil Field development plans
Teaching
● Petroleum Production Technology
● Well logging
● Reservoir Engineering
● Reservoir simulation
● Integrated Field Development and Management
● Well Testing
Supervision: Final year research project supervision for many Petroleum Engineering students in department of Petroleum Technology
● Fluid flow lab
● Reservoir simulation Lab
● Reservoir Engineering Lab
● Crude oil processing Lab
Most recent publications
1.Doaa Saleh Mahdi. (2012). Miscible Flooding for Nahr Umr Reservoir/Halfaya Oil Field (Master of Science dissertation, University of Baghdad).
2.E. A. Al-Khdheeawi, and Doaa Saleh Mahdi. “Apparent viscosity prediction of water-based muds using empirical correlation and an artificial neural network.” Energies 12, no. 16 (2019): 3067.
3.E. A. Al-Khdheeawi, Doaa Saleh Mahdi, and Runhua Feng. “Lithology Determination from Drilling Data Using Artificial Neural Network.” In 53rd US Rock Mechanics/Geomechanics Symposium. American Rock Mechanics Association, 2019.
4.Al-Khdheeawi, Emad A., Doaa Saleh Mahdi, Muhammad Ali, Cut Aja Fauziah, and Ahmed Barifcani. “Impact of Caprock Type on Geochemical Reactivity and Mineral Trapping Efficiency of CO2.” In Offshore Technology Conference Asia. OnePetro, 2020.
5.Al-Khdheeawi, Emad A., Doaa Saleh Mahdi, Muhammad Ali, Stefan Iglauer, and Ahmed Barifcani. “Reservoir Scale Porosity-Permeability Evolution in Sandstone Due to CO2 Geological Storage.” Available at SSRN 3818887 (2021).
6.Doaa Saleh Mahdi. “Predicting Drilling Rate of Penetration Using Artificial Neural Networks.” In IOP Conference Series: Materials Science and Engineering, vol. 1067, no. 1, p. 012150. IOP Publishing, 2021.
7.Doaa Saleh Mahdi & E. A. Al-Khdheeawi, “A New model for Optimizing Drilling Variables and Penetration Rate.” accepted to published in the AIP Conference Proceeding journal which is indexed under the SCOPUS classification.