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Last modified: 27 Feb 2018 19:50

Course Overview

Reservoir simulation is an indoispensible tool for today's reservoir engineers.  Using this approach engineers can develop better designs and processes for exploitation of subsurface resources.  This course will provide students with basic knowledge of the technologies used in the oil and gas industry for modelling complex flows in reservoirs.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Old Aberdeen Sustained Study No
  • Dr Mehrdad Manzari

Qualification Prerequisites


What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme (Studied)

What other courses must be taken with this course?


What courses cannot be taken with this course?


Are there a limited number of places available?


Course Description

This course aims to :

  1. Introduce fundamentals of computational methods for Geoscience students
  2. Build a sound understanding of mathematical models, how they are connected with physical models, and how they behave differently
  3. Give a brief review of governing equations for fluid flow and rock mechanics
  4. Show students how partial differential equations governing a physical phenomenon are solved
  5. Discuss important aspects of a numerical simulation including stability, convergence, accuracy, and computational cost
  6. Give an overview on how to benchmark numerical solutions, how to validate models, and how to verify algorithms and computer programs
  7. Provide students with an opportunity to devise their own models and solve them numerically

Degree Programmes for which this Course is Prescribed

  • MSc Reservoir Engineering

Contact Teaching Time

Sorry, we don't have that information available.

Teaching Breakdown


Formulation, modelling and report on a fluid flow problem (30%); Formulation, modelling and report on a rock mechanics problem (30%); Solve a problem in fluid flow and rock mechanics in a finite time (30%).

Resit: 100% by resubmission of any failed elements.

Formative Assessment

Developing computational formulations and algorithms.


Oral feedback throughout the taught part of the course.  One major formative exercise with written feedback.

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