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Automated Drilling and Modeling

This is the study programme for 2019/2020. It is subject to change.

Automated drilling and modeling course provides a detailed knowledge of mathematical drilling models, drilling data, drilling control systems and automated drilling methods.

Learning outcome

Students who successfully complete the course should achieve:
  • understand modeling procedures for related petroleum models
  • know about drilling data and data processing methods
  • know about control theories and observer design methods
  • know about automation tools and automated drilling process
  • be able to perform programming in Matlab and Simulink
  • 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 drilling systems in laboratory 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 static and dynamic drilling models (hydraulics, drillstring mechanics, ROP, heat transfer, etc.) and related drilling applications with simulations; strengthens programming skills in Matlab and Simulink; introduces drilling data transmission techniques and data quality improvement methods; introduces control techniques, automation tools and systems in automated drilling; demonstrates laboratory automated drilling systems and realtime drilling operations.
Adjustments to the plan may occur.

Required prerequisite knowledge


Recommended previous knowledge

Physics, mathematics, cybernetic engineering, mechanical engineering, drilling subjects and programming


Weight Duration Marks Aid
Written exam1/14 hoursA - FValid calculator.

Coursework requirements

Mandatory homework

Course teacher(s)

Course teacher
Jan Einar Gravdal
Course coordinator
Dan Sui

Method of work

Classroom teaching, individual assignments/ group work, exercises, presentations, homework, projects, visits to laboratory

Overlapping courses

Course Reduction (SP)
Advanced Drilling Technology and Engineering (PET525_1) 5

Open to

Computational Engineering, Master's Degree Programme
Petroleum Engineering - Master of Science Degree Programme

Course assessment

Standard UiS procedure


10 Selected publications. Compendium. Lecture notes
The compulsory reading list and any additional literature will be announced at the start of the course.

This is the study programme for 2019/2020. It is subject to change.

Sist oppdatert: 06.06.2020