Page 21 - Handbook PG 20182019

Faculty of Science Postgraduate Booklet, Session 2018/2019

model development and well planning. Identification of infill well and work over opportunities will
be introduced.

Assessment Methods:
Continuous Assessment 100%

Medium of Instruction:
English

Transferable Skills:
1. Skill in field development planning
2. Skill in forming a strategy to extract petroleum from a reservoir efficiently
3. Skill in generating static reservoir models using computer software (e.g. Petrel)

Humanity Skill:
CT5, TS3, EM2

References:
nd
1. Asquith, G., and Krygowski, D. 2004. Basic Well Log Analysis, 2 Edition AAPG Methods in
Exploration No. 16, 244 p.
2. Caers, J. 2005. Petroleum Geostatistics: Society of Petroleum Engineers, 88 p.
3. Eutsh, C. V. 2002. Geostatistical Reservoir Modelling, Oxford University Press, 384 p.
4. Doyen, P. M. 2007. Seismic Reservoir Characterization: An Earth Modelling Perspective:
EAGE Publications (European Association of Geoscientists and Engineers), 255 p.
5. Drake, L. R. 2001. The Practice of Reservoir Engineering, Revised Edition: Developments in
Petroleum Science 55: Elsevier Science, 572 p.
6. Morton-Thompson, D., and Woods, A. M. 1993. Development Geology Reference Manual:
AAPG Methods in Exploration No. 10, 548 p.
7. Slatt, R. M. 2014. Stratigraphic Reservoir Characterization for Petroleum Geologists,
Geophysicists and Engineers. Development in Petroleum Science Vol. 61. Elsevier.
8. Pyrcs, M. J., and Deutsch, C. V. 2014. Geostatistical Reservoir Modelling Second Edition.
Oxford University Press, 448 p.
9. Ringrose, P., and Bentley, M. 2014. Reservoir Model Design: A Practitioner’s Guide. Springer,
249 p.

SQD7011 Petroleum Geostatistics
(Pre-requisite SQD7003 & SQD7004)

This course presents the concepts and methodologies underlying the use of geostatistics in the oil
and gas industry, focussing on reservoir characterization. The course includes a review of basic
probability and statistics. The importance of data sampling, model resolution and scales is
emphasized. The use of the variogram and other techniques in quantifying spatial correlation using
two-point and multi-point geostatistics in constructing cell- and object-based 3D deterministic and
stochastic static reservoir models is discussed in lectures and applied in practical exercises. Case
studies are used to illustrate practical applications in hydrocarbon volume estimation, evaluation of
uncertainty, well path design, and field development planning. Computer software is used
throughout the course.

Assessment Methods:
Continuous Assessment 100%

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