Nontechnical Guide to Petroleum Geology, Exploration

these packages will be given in the class and it will be made available to you for practicing and carrying out
your homework assignments.
Exams and Quizzes
There will be eight short (15 minutes) quizzes and three exams during the semester. The exams will be
designed to require 45 minutes of effort, but we’ll use 60 minutes to minimize the effects of time pressure.
The exams will all be closed book. Student will be provided with a formula sheet for each exam.
Evaluation Method
The final grade in the course is calculated as a weighted average of the required assignments and
examinations during the course with the following weights:
HOMEWORK: 20%
QUIZZES: 15%
EXAM 1: 15%
EXAM 2: 15%
FINAL EXAM: 20%
FINAL PROJECT: 15%
PETE-322 Shared Folder
We will make announcements via email and upload various information, datasets, and handouts to the
shared PETE-322 class folder on the PE network. Please make sure you have access to this folder.
Reference Texts
You may find the following texts as useful references for this course.
1. Jensen J.L., Lake L.W., Corbett P.W.M, and Goggin D.J., (2000): Statistics for Petroleum Engineers and
Goescientists, 2 nd edition, Elsevier Science.
2. Goovaerts P., (1997): Geostatistics for Natural Resources Evaluation. Oxford University Press.
3. Deutsch C.V., Journel A.G., (1998): GSLIB: Geostatistical Software Library and User's Guide. Oxford
University Press, New York.
Contributions to Professional Component:
Math and Science None
Petroleum
Provides students with an understanding of the stochastic nature of
Engineering
reservoir properties and the uncertainty in performance forecasting.
Students learn about statistical approaches to quantify variability in
geologic media, spatial relationship amongst data and uncertainty in
estimates and demonstrate the ability to build simple geologic models
by integrating diverse data types.
General Education The students learn about the interdisciplinary nature of Petroleum
Engineering and need for interaction with geoscientists.
Course Learning Outcomes and Relationship to Program Outcomes:
Course Learning Outcome: At the end of the course, students will Program Outcomes
be able to…
Students will combine statistical methods and geological information to 1, 2, 15, 17
analyze and explore subsurface data.
Students will produce and interpret estimation errors for their
1, 2, 5, 21
calculations of reservoir properties.
Students will use geostatistical methods to model reservoir properties. 4, 5, 17
2