oil industry

Additively Manufactured Conformal Microwave Sensors for Applications in Oil Industry

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B3 L5 R5220

Modern industries are adapting smart ways of monitoring their processes to ensure smooth operations. Sensors capable of early detection of a problem are becoming the norm in industrial processes. This is key to the development of the “Internet of Things” (IoT), in which billions of interconnected devices will work together to make smart decisions. Sensors that can detect and communicate the process information are essential ingredients of any IoT-enabled network. Since billions of such sensor nodes will be required in the future, the low cost will be an important feature for these devices. Consistent with the above-mentioned trends, the oil industry is also adapting smart monitoring and actuation mechanisms for its day-to-day operations. This thesis is focused on developing low-cost sensors, which can increase oil production efficiency through real-time monitoring of oil wells and also help in the safe transport of oil products from the wells to the refineries.

Fahd Mohamed

Research Interests Solid works, 3D VIA Composer, KeyShot, ANSYS Simulation, Autocad, 3dmax Studio, Matlab, Mathcad, EES (Engineering Equation Solver), FORTRAN Professional Profile 2021 - present: Research Specialist, Kaust, Thuwal - Saudi Arabia 2012 - 2019: Research Assistant, Qatar University, Doha - Qatar Education Profile BSc in Mechanical Engineering, Alexandria University, Egypt granted 2011 Dissemination Viscous flow simulations through multi-lobe progressive cavity pumps. F.M. El-Abd, E.M. Wahba, I.G. Adam Pet. Sci. 17, 768-780 (2020) https://doi.org/10.1007/s12182-020-00458-6