Skip to main content

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 2021-2022

Course code




Credits (ECTS)


Semester tution start


Number of semesters


Exam semester


Language of instruction


Learning outcome
Students who successfully complete the course should achieve:
  • understand modeling procedures for related petroleum models
  • know about  data and data processing methods
  • 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 improve data quality
  • 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 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

The course provides detailed knowledge of developing static and dynamic  models and related simulation software; strengthens programming skills; introduces  data transmission techniques and data quality improvement methods; introduces control techniques, automation tools and automated systems;  demonstrates laboratory for automated systems and realtime automation operations.

Adjustments to the plan may occur.

Required prerequisite knowledge
Recommended prerequisites
Physics, mathematics, cybernetic engineering, mechanical engineering, drilling subjects and basic programming in e.g. Matlab or Python
Form of assessment Weight Duration Marks Aid
Written exam 1/1 4 Hours A - F Valid calculator

Coursework requirements
Mandatory homework
Course teacher(s)
Course teacher: Jan Einar Gravdal
Course coordinator: Dan Sui
Head of Department: Øystein Arild
Method of work
Classroom teaching, individual assignments/ group work, exercises, presentations, homework, projects, visits to laboratory
Open for
Admission to Single Courses at the Faculty of Science and Technology Computational Engineering, Master's Degree Programme Petroleum Engineering - Master of Science Degree Programme Exchange programme at Faculty of Science and Technology
Course assessment
Standard UiS procedure
Overlapping courses
Course Reduction (SP)
Advanced Drilling Technology and Engineering (PET525) 5
The syllabus can be found in Leganto