Statistical Methods for Estimating Petroleum Resources
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Author Description
This book describes procedures for determining the total hydrocarbon (petroleum) resource or resource potential in a region. Statistical concepts and methods employed in petroleum resource assessment are the subject of the manuscript, extensively illustrated by numerous real case studies. Prof. Lee's computer-aided Petroleum Information Management and Resource Evaluation System (PETRIMES) methodology has been adopted by governments around the world and by major multinational oil companies to perform resource assessment and to predict future oil and gas production. Though this methodology is so widely used, there is no "user's guide" to it, and this book will be the definitive resource for PETRIMES users.
Menrva's Summary
THE THESIS
This book investigates the statistical procedures and methodologies required to accurately estimate the total hydrocarbon resource potential within a specific geological region. P.J. Lee, a recognized expert in mathematical geology, draws upon his extensive experience in resource assessment to present the Petroleum Information Management and Resource Evaluation System (PETRIMES). The text serves as a technical framework for applying these statistical models to real-world oil and gas exploration data.
THE SCOPE MAP
What You Will Find
- Statistical concepts and mathematical models for petroleum resource assessment
- Implementation guidelines for the PETRIMES methodology
- Extensive use of real-world case studies to illustrate predictive modeling
- Quantitative techniques for forecasting future oil and gas production
THE AUTHORITY PERSPECTIVE
Experts identify this work as the definitive technical manual for practitioners utilizing the PETRIMES system. Readers frequently note the high level of mathematical density and the practical utility of the included case studies for professional resource evaluation.
Page Count:
234
Publication Date:
2008-01-01
Publisher:
Oxford University Press
ISBN-10:
0199715807
ISBN-13:
9780199715800
Science
Earth Sciences
Statistics
Geology
Probability
Mathematics Statistics
Mathematics
