possess knowledge of the content of a drilling program .
be aware of challenges related to drilling in harsh environments.
know the fundamental knowledge of drilling and drilling models.
have knowledge about automated, integrated, and intelligent drilling.
have knowledge about computational methods which are important in these planning and follow up processes.
be able to apply different computational methods for given engineering tasks and project assignments.
be able to transfer the methodology basis to other areas of engineering applications.
work on small research projects and find good relevant points with PhD projects
Drilling data. Drilling models. Low margin field prospects including HPHT and Deepwater challenges. Managed Pressure Drilling. Computational methods for well engineering. Automated drilling processes and control engineering. Drilling risks and drilling problems detection. New drilling technologies. Content may vary from year to year.
Required prerequisite knowledge
Form of assessment
Oral exam and report
Pass - Fail
Head of Department:
Method of work
Lectures, group work, colloqium and student presentations
Students admitted to a PhD program at the Department of Petroleum Engineering