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 methodologies required to accurately estimate hydrocarbon resource potential within a specific geographic region. Author P.J. Lee, a recognized expert in mathematical geology, synthesizes decades of research to provide a comprehensive framework for resource assessment. The text serves as both a theoretical foundation and a practical manual for the Petroleum Information Management and Resource Evaluation System (PETRIMES), utilizing extensive case studies to demonstrate how these models predict future oil and gas production.
THE SCOPE MAP
What You Will Find
- Statistical probability models for hydrocarbon accumulation estimation
- Implementation protocols for the PETRIMES software methodology
- Quantitative analysis of regional resource potential
- Real-world case studies from international government and corporate applications
THE AUTHORITY PERSPECTIVE
Experts identify this work as the primary technical reference for practitioners utilizing the PETRIMES system. Readers frequently note the high level of mathematical density, making it a specialized text intended for geologists and resource analysts rather than general audiences.
Page Count:
234
Publication Date:
2008-05-07
Publisher:
Oxford University Press
ISBN-10:
0195331907
ISBN-13:
9780195331905
Science
Geology
Mathematics
Statistics
