Abstract
We
attempt the design and development of an educational game based on the
Input-Process-Outcome model. This tool helps students and other professionals
to learn and appreciate the decision-making processes carried out by
geophysicists and petroleum engineers, concerned with the activity of well
placement, to maximize production from oil fields. It also stimulates learning
and application of technology to support decision making.
Chapter 1
INTRODUCTION
In
this work we apply software engineering to simulate well placement in oil
fields located in the Niger-Delta terrain of Nigeria, West Africa. Software
engineering is concerned with developing and maintaining software systems that
behave reliably and efficiently, are affordable to develop and maintain, and
satisfy all the requirements that customers have defined for them (1). Well
placement Technology is the combination of sub-surface reservoir development
technology, formation evaluation and pressure analysis to ascertain a favorable
position to drill oil wells in oil fields.
The
process of well placement begins with exploration of the oil field. Seismic
reflection analysis is carried out to determine the presence and location of
trap and fluids in the reservoir. If results are favorable, wells are drilled
in order to determine rock and fluid properties in the reservoir. If
potentially economic accumulations of hydrocarbon are found, more wells are
bored or more seismic is shot to carry out an appraisal of the field; this
results in the delineation of the reservoir. More detailed data is collected
from outcrop and reservoir’s stratigraphic studies. Well tests such as pressure
and flow rates tests are carried out. With all these data, a model is built.
The model is dynamically simulated to predict oil production. The simulation
results inform the decision on location to place well in the oil field. (See
Chapter Three).
Department: Computer Science (M.Sc Thesis)
Format: MS Word
Chapters: 1 - 5, Preliminary Pages, Abstract, References, Appendix.
No. of Pages: 54
Price: 20,000 NGN
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