Modeling and Control for Automation Processes (PET575)
Automated drilling and modeling course provides a detailed knowledge of mathematical drilling models, drilling data, drilling control systems and automated drilling methods.
Course description for study year 2024-2025
Course code
PET575
Version
1
Credits (ECTS)
10
Semester tution start
Spring
Number of semesters
1
Exam semester
Spring
Language of instruction
English
Content
NB! This is an elective course and may be cancelled if fewer than 10 students are enrolled by January 20th.
The course offers comprehensive instruction on the development of both static and dynamic physics-based models. It enhances skills in programming and introduces digital tools for machine learning applications, data analytics techniques, and data management methods. Additionally, it covers control techniques, including various controller designs, automation tools, and industrial control systems. The course also includes practical demonstrations of laboratory systems and digital twin technology for automated systems and real-time automation operations.
Adjustments to the plan may occur.
Learning outcome
Students who successfully complete the course should achieve:
- understand modeling procedures
- know about data analytics and machine learning techniques
- know about control theories and observer design methods
- know about automation tools and automated process
- be able to perform basic programming in Matlab or Python
- be able to process and analyze data
- be able to implement control strategies for automated systems
- be able to perform realtime operations through simulators
- have a general understanding about high-level automated and digital drilling techniques which also can be relevant to other areas
- have insight into how automated laboratorial systems and software tools can be used for increased understanding and research
- general programming competence which can be useful in different disciplines
Required prerequisite knowledge
Recommended prerequisites
Exam
Form of assessment | Weight | Duration | Marks | Aid |
---|---|---|---|---|
Written schoolexam | 1/1 | 4 Hours | Letter grades | Standard calculator |
Coursework requirements
Course teacher(s)
Course teacher:
Jan Einar GravdalCourse coordinator:
Dan SuiHead of Department:
Øystein ArildMethod of work
Overlapping courses
Course | Reduction (SP) |
---|---|
Advanced Drilling Technology and Engineering (PET525_1) | 5 |