Computational Reservoir and Well Modeling (PET510)
This course gives an introduction to how mathematical models and computational methods can be used to describe flow processes taking place in reservoirs and wells. The student will get an introduction to how such models can be solved by analytical and numerical techniques. Models in general are very much used in the petroleum industry.
Course description for study year 2024-2025. Please note that changes may occur.
Facts
Course code
PET510
Version
1
Credits (ECTS)
10
Semester tution start
Autumn
Number of semesters
1
Exam semester
Autumn
Language of instruction
English
Time table
Content
Basic numerical methods, Conservation laws, closure laws,solution techniques, practical applications
Learning outcome
- Have knowledge about standard numerical techniques that can be used to study petroleum related models
- Be able to formulate central (partial and ordinary) differential equations relevant for porous media and well flow, transient as well as stationary models. Know related closure laws and correlations that are involved in such models.
- Be able to formulate discretizations of such mathematical models and assess properties like stability and accuracy.
- Be trained in implementing (in matlab) such numerical methods
- Know specific applications of the models that are presented.
- Have a general understanding about the role played by mathematical models and computational methods as a tool in petroleum related operations.
Required prerequisite knowledge
None
Recommended prerequisites
Good knowledge in calculus and basic physical laws for fluid mechanics
Exam
| Form of assessment | Weight | Duration | Marks | Aid |
|---|---|---|---|---|
| Written exam | 1/1 | 4 Hours | Letter grades | Valid calculator |
Written exam with pen and paper.
Coursework requirements
Compulsory assignments, Compulsory assignments
The 2 mandatory assignments must be approved 3 weeks before the exam.
Course teacher(s)
Course coordinator:
Steinar EvjeCourse teacher:
Kjell Kåre FjeldeHead of Department:
Øystein ArildMethod of work
Class room instruction, programming exercises, calculation exercises
Open for
Admission to Single Courses at the Faculty of Science and Technology
Computational Engineering - Master of Science Degree Programme
Industrial Economics - Master of Science Degree Programme
Industrial Economics - Master of Science Degree Programme, Five Year
Petroleum Engineering - Master of Science Degree Programme
Petroleum Engineering - Master of Science Degree Programme, Five Years
Exchange programme at Faculty of Science and Technology
Course assessment
There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital subject evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.