Reservoir Modelling and simulation (GEO506)

Content

3D grid-building and different alternatives will be explored, including the important consideration relating to fault modelling and the principle of combined horizon/fault modelling. For geostatistical property modelling, various facies modelling techniques, including object and indicator simulation, will be considered, along with stochastic petrophysical modelling techniques, Sw calculations, and uncertainty analysis. An introduction to the benefits of the workflow manager will be given, including how this tool can be used for constructing multiple realisations/scenarios for the purpose on uncertainty analysis.

The differential equations for mass conservation in the context of subsurface multiphase flow are derived for Black Oil and compositional models. Important input parameters and functions are described, as well as grid parameters, boundary conditions and transport and storage mechanisms. We briefly outline the numerical solution procedure for the differential equations, including discretization by finite differences, linearization and the Newton-Raphson method. Continuous use of commercial simulator is considered to gain practical experience with solving reservoir technical problems. Practice and reports on simple cases is considered before working on the field case.

Learning outcome

Knowledge:

After completing the course, the student should know:

• Principles of geomodelling
• How to construct a geomodel
• The main components of a 3D grid
• Stochastic facies/property modelling techniques
• In-place volume calculations
• Handling uncertainties within 3D models
• Important considerations and limitations of geomodels
• Differential equations for mass conservation.
• Black Oil and compositional models.
• Assess fluids-in-place.
• Evaluate impact of uncertainty in key parameters.
• Key transport mechanisms for fluid transport and production.
• How to use a simulator for solving reservoir technical problems.
• Main steps of numerical solution of reservoir problems (discretization with finite differences, Newton-Raphson, IMPES and fully implicit, solving linear equations).

Skills:

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

• Construct a geomodel using typical field input data and calculate volumes.
• Prepare the model input ready for simulation.
• Handle uncertainties in geomodels.
• Perform sensitivity analyses and interpret simulation results.
• Describe specific porous medium flow problems consistently using mass balance equations, constraints, fluid and rock properties, boundary conditions and source terms.
• Implement and solve reservoir engineering problems with simulation software.
• Understand key features of a model and modify it for prediction, implementation of new engineering solutions or improved representation of the geology or field development.

General competence:

After completing the course, the student should be able to communicate:

• Techniques required for 3D grid building
• Different methods for facies and property modelling
• Modelling approaches in reservoir simulation.
• The role of mechanisms such as advective, gravity and capillary forces and fluid properties for fluid distribution and flow.
• Solutions for modelling specific porous media flow systems.

Required prerequisite knowledge

Exam

Coursework requirements

Course teacher(s)

Course teacher:

Course coordinator:

Study Program Director:

Study Adviser:

Head of Department:

Method of work

Lectures, group projects, simulation exercises, theoretical exercises

The course includes an introduction to an industrial software being taught at the beginning of the semester or the end of the foregoing semester. Participation of this is not mandatory but highly recommended to better be able to successfully complete the assessments.

Open for

Course assessment

Literature