Course

Computational Reservoir and Well Modeling (PET510)

Facts

Course code PET510

Credits (ECTS) 10

Semester tuition start Autumn

Language of instruction English

Number of semesters 1

Exam semester Autumn

Time table View course schedule

Literature The syllabus can be found in Leganto

Introduction

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.

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

Written exam

Weight 1/1

Duration 4 Hours

Marks Letter grades

Aid Valid calculator

Exam system Paper Based

Written exam with pen and paper.

Coursework requirements

Compulsory assignments, Compulsory assignments
The 2 mandatory assignments must be approved 3 weeks before the exam.

Method of work

Class room instruction, programming exercises, calculation exercises

Open for

Admission to Single Courses at Master Level at the Faculty of Science and Technology
Computational Engineering - Master Industrial Economics - Master Industrial Economics - Master Petroleum Engineering - Master
Exchange programme at The 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.

Contact

Head of Department:
Øystein Arild
Study Program Director:
Runar Bøe
Course teacher:
Kjell Kåre Fjelde
Course coordinator:
Steinar Evje

Offered by

Faculty of Science and Technology

Department of Energy and Petroleum Engineering

The course description is retrieved from FS (Felles studentsystem). Version 1