Graduates of the Oil and Gas Engineering Department are expected to demonstrate the following by the time of graduation:
Engineering Knowledge
Apply mathematics, science, and engineering principles to solve complex petroleum engineering problems.
Problem Analysis
Identify, formulate, and analyze drilling, production, and reservoir challenges using critical thinking.
Design and Development
Design systems, equipment, and processes that meet oil and gas industry standards and sustainability requirements.
Investigation and Research
Conduct experiments and analyze data to support decision-making and operational improvements.
Modern Tool Usage
Utilize industry-standard software and engineering tools for modeling, simulation, and analysis.
Professional and Ethical Responsibility
Understand professional, ethical, legal, and social responsibilities in engineering practice.
Sustainability and Environmental Awareness
Integrate environmental considerations into engineering solutions, supporting cleaner energy and resource optimization.
Effective Communication
Communicate technical and non-technical information clearly through reports, presentations, and discussions.
Teamwork and Leadership
Collaborate effectively in multidisciplinary teams and demonstrate leadership when required.
Project Management and Economics
Apply engineering management and economic principles in project planning, scheduling, and execution.
Lifelong Learning
Recognize the importance of continuous learning to adapt to new technologies and industry trends.
Through coursework, labs, internships, and field projects, students acquire the following core skills:
Technical Skills
Drilling design and well planning
Cementing, fracturing, and stimulation operations
Reservoir simulation and material balance
Production optimization and artificial lift selection
Use of software such as Petrel, ECLIPSE, Pipesim, Prosper, and MATLAB
Analytical Skills
Data interpretation from well logs and core analysis
Risk assessment and uncertainty evaluation
Performance monitoring and troubleshooting
Practical Skills
Hands-on experience with lab equipment, rigs, and simulation tools
Fieldwork exposure and reporting
Equipment maintenance and safety inspections
Soft Skills
Communication and presentation
Time management and multitasking
Critical thinking and adaptability
Team collaboration and leadership
Digital & Industry 4.0 Skills
AI and machine learning basics for upstream data analysis
Familiarity with digital twins, smart sensors, and real-time monitoring systems
