Multi phase flow simulation in porous media

Teaching semester

Irregular

Objectives and Content

Objectives and content

The course gives the students a good insight to the entire workflow from the processing of flow results from laboratory measurements, through simulation for quality control of these, to the generation of inputs to full-field models for reservoir simulation of low-emission oil and gas production and CO2 storage. The course will provide a theoretical foundation to the black oil model and simulation tools for porous media. In addition, various flow scenarios, relative permeability and capillary pressure are taught with regard to wetting and standard correlations for depicting these functions. The course mainly focuses on independent work with simulation tools and written and oral presentation of results

Learning Outcomes

On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

On completing the course, the student should be able to:

• Understand the theory behind reservoir simulation, and simulation in general
• Understand differences in global and local solutions to simulated results and uncertainties associated with simulation
• Understand the black oil model
• Have knowledge of techniques for upscaling from core scale to full field scale
• Understand the entire process from obtaining laboratory data, to simulation and quality control, to upscaling for reservoir simulation for CO2 storage and recovery processes

Skills

On completing the course, the student should:

• Master simulation of different core scale flow scenarios
• Have the ability to do self-evaluation of quality control on simulated results
• Be able to set up a model for upscaling

General competence

The student should be able to:

• Understand the whole value chain from laboratory measurements to reservoir model
• Understand the need for quality assurance of laboratory measurements and how these results are further used to better understand full-field reservoir models

Required Previous Knowledge

None.

Recommended Previous Knowledge

PTEK211, PTEK214, PTEK212

Credit Reduction due to Course Overlap

PTEK215

Access to the Course

Access to the course requires admission to a program of study at The Faculty of Mathematics and Natural Sciences.

Teaching and learning methods

The teaching method is by lectures and laboratory exercises.

Lectures, 2 hours a week for 10 weeks.

Laboratory exercises, 4 hours for 6 weeks.

Compulsory Assignments and Attendance

Compulsory attendance at lectures and laboratory exercises.

Laboratory reports.

Compulsory assignments are valid for 2 subsequent semesters.

Forms of Assessment

The forms of assessment are:

• Laboratory reports, 30 % of total grade.
• Oral presentation of project work, 50% of total grade.
• Oral examination, 50% of total grade.

Examination Support Material

None

Grading Scale

The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.

Assessment Semester

Irregular

Reading List

The reading list will be available within June 1st for the autumn semester and December 1st for the spring semester.

Course Evaluation

The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department

Programme Committee

The Programme Committee is responsible for the content, structure and quality of the study programme and courses.

Course Coordinator

The course coordinator and administrative contact person can be found on Mitt UiB, or you may contact studierettleiar@ift.uib.no

Course Administrator

The Faculty for Mathematics and Natural Sciences, Department of physics and technology has the administrative responsibility for the course and program