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Zachary Hamida, Ph.D.

Researcher | Engineer | Consultant

Research Interests:
Theory: control theory, machine learning, optimization
Applications: structural health monitoring; maintenance planning; oil field planning.

Activities
[2023-] Machine Learning Engineer
[2021-] Research Associate
[2013-] Graphic Design

Email | Scholar | LinkedIn | Github | CV

Homepage / Oil Field Development and Planning

Project description: This project examines introducing a problem-specific Genetic Algorithm (GA) for optimal well placement in oil fields. The outcome of this project is a framework that improves the convergence rate to the optimal solution, while maintianing a relativly less computational cost.

Funding: Schlumberger

Development Methods: Genetic Algorithm, Artificial Neural Network, Similarity Measures

Development Tools: MATLAB (Including: GUI design), Eclipse Reservoir Simulator


Resources


[2017]:

An efficient geometry-based optimization approach for well placement in oil fields
Z. Hamida, F. Azizi, G. Saad
Journal of Petroleum Science and Engineering 149, 383-392
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[2016]:

Hybrid Optimization Techniques for Oil Field Development.
Z. Hamida
M.Sc. Thesis, American University of Beirut, Lebanon.