2019/20 Undergraduate Module Catalogue

SOEE2560 Reservoir Simulation 1

10 creditsClass Size: 50

Module manager: Dr Piroska Lorinczi
Email: p.lorinczi@see.leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2019/20

Pre-requisites

SOEE2490

Formation Evaluation

Module replaces

Part of SOEE3550

This module is not approved as a discovery module

Objectives

At the end of the module, students should:
- understand the fundamental concepts behind 1D and multi-dimensional reservoir modelling on a range of scales and be able to assess what approach to modelling is appropriate across a range of reservoir production problems.
- be able to understand the mathematic model involved in reservoir simulation.
- be able to integrate different types of data (static, dynamic) and carry out the simulation of several reservoirs.
- be able to design work strings to simulate recovery under a variety of well location and production/injection strategies.

Learning outcomes
On completion of the module, the students should:
- understand the flow equations for reservoirs, being able to discretise these flow equations, selecting the appropriate boundary and initial conditions;
- be familiar with the finite differences method, with explicit and implicit formulations;
- be familiar with industry-standard techniques and software packages used in reservoir production simulation modelling;
- have gained a critical awareness of the key parameters and uncertainties associated with particular models and modelling strategies;
- be confident at using industry standard production simulation software to model a range of problems.

Syllabus

- Overview of reservoir simulation- general workflows. Introduction to the Finite Differences.
- Introduction to Eclipse. Reservoir Simulation using Eclipse.
- Gridding in Reservoir Simulation - Discretisation of flow equations. Multiphase flow through a reservoir.
- Well modelling. Design of well locations; production and injection design strategies; predicting well performance.
- CO2 storage. Modelling CO2 injection.

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	6	1.00	6.00
Practical	6	3.00	18.00
Private study hours			76.00
Total Contact hours			24.00
Total hours (100hr per 10 credits)			100.00

Private study

Students will have the opportunity to use the simulation software used in this module (available in the SEE computer cluster) as part of their private study and independent learning.

Opportunities for Formative Feedback

Monitoring (and formative feedback) provided via returned computer-based practicals/simulation exercises.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Computer Exercise	2 assessed computer based exercise practicals	30.00
Total percentage (Assessment Coursework)		30.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Exams

Exam type	Exam duration	% of formal assessment
Standard exam (closed essays, MCQs etc)	1 hr 00 mins	70.00
Total percentage (Assessment Exams)		70.00

The resit for this module is normally held in August. In case of module failure, students will attend a resit exam similar to the original exam, covering all of the module learning outcomes. For second attempts, the resit mark will represent 100% of the final module mark. For first attempts, the final module mark will be calculated using the resit mark (70%) and the marks for the assessed courseworks obtained during semester 2 (30%).

Reading list

The reading list is available from the Library website

Last updated: 26/04/2017

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