Geological Engineering Commons^™

Detecting Electrical Submersible Pump (Esp) Failures And Estimating Run Life Using Artificial Neural Networks, Mostafa Ahmed Sobhy

Theses and Dissertations

Electric Submersible Pumps (ESPs) are one of the important artificial lift methods for sustaining production in mature and high-water-cut wells; but may suffer frequent failures due to mechanical, electrical, hydraulic, chemical, and operational failures. These failures can yield substantial deferred production and intervention costs. Plenty of ESP installations are fitted with downhole sensors. Yet, it is observed that the current industry practice underutilizes the wealth of available sensor and operational data and lacks standardized, explainable failure-type identification and classification.

In this thesis, a comprehensive Machine Learning (ML) and Deep Learning (DL) framework was introduced for ESPs that simultaneously estimates remaining …

Optimization Of Vibro-Seismic Parameters For Enhanced Oil Recovery Application, Tarek Abdel Aal

Theses and Dissertations

This thesis was conducted in the American University in Cairo by Tarek Ahmed Abdel Fattah Abdel Aal. The thesis is titled ‘Optimization of Vibroseismic Parameters for Enhanced Oil Recovery Application.’ The thesis discusses whether or not the combination of optimized physical vibration parameters with waterflooding would improve porosity, absolute permeability, relative permeability, and recovery when compared with just classical waterflooding. The optimized physical vibration parameters as well as methodology was used from a previous paper that was performed in conjunction with my thesis advisor on similar core samples. The experimentation was performed on five core samples with different porosities and …

Environmental Risk Assessment Model, Ahmed Hammam El-Sherbiny

Archived Theses and Dissertations

No abstract provided.