Course

Computational Reservoir and Well Modeling (PET510)

This course gives an introduction to how mathematical models can be used to describe flow processes taking place in reservoirs and wells. The student will get an introductionn to how such models can be solved by analytical and numerical techniques. Models in general are very much used in the petroleum industrt.


Dette er emnebeskrivelsen for studieåret 2013-2014. Merk at det kan komme endringer.

See course description and exam/assesment information for this semester (2024-2025)

Semesters

Fakta

Emnekode

PET510

Vekting (stp)

10

Semester undervisningsstart

Autumn

Undervisningsspråk

English

Antall semestre

1

Vurderingssemester

Autumn

Content

Basic numerics,material balances, closure laws,solution techniques, statistical methods

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 invloved 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 concrete applications of the models that are presented.

• Be able to apply MonteCarlo simulations for time/cost prediction of operations.

• Have a general understanding about the role played by mathematical models as a tool in petroleum related operations.

Forkunnskapskrav

need to meet the requirement for admission to the master programme in Petroleum Engineering

Anbefalte forkunnskaper

Exam

Form of assessment Weight Duration Marks Aid Exam system Withdrawal deadline Exam date
Written exam 1/1 4 Hours Letter grades Valid calculator 01.11.2013 20.11.2013


Vilkår for å gå opp til eksamen/vurdering

Compulsory assignments, Compulsory assignments

Fagperson(er)

Head of Department:

Øystein Arild

Course teacher:

Kjell Kåre Fjelde

Course coordinator:

Steinar Evje

Method of work

Class room instruction, programming exercises, calculation exercises

Åpent 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

Emneevaluering

Standard UiS procedure

Litteratur

Material published on It's Learning, compedium, extracts from books

Some of the material is based on the book

¿Introduction to partial differential equations¿, A. Tveito and R. Winther,

Texts in applied Mathematics, Springer, 2005.

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