Statistical Methods for Estimating Petroleum Resources

Statistical Methods for Estimating Petroleum Resources

by P.J. Lee
     
 

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

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Overview

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.

Product Details

ISBN-13:
9780195331905
Publisher:
Oxford University Press, USA
Publication date:
05/07/2008
Series:
International Association for Mathematical Geosciences: Studies in Mathematical Geosciences Series, #8
Pages:
256
Product dimensions:
9.30(w) x 6.10(h) x 0.90(d)

Table of Contents

1. Introduction
2. Evaluation Models
3. Estimating Mature Plays
4. More About Discovery Process Models
5. Evaluating Conceptual Plays
6. Estimation Update and Feedback Procedures
7. Other Assessment Methods- An Overview
8. Concluding Remarks
Appendix A. Estimation of Superpopulation Parameters from a Successively Sampled Finite Population
Appendix B. Nonparametric Procedure for Estimating Distributions
Appendix C. The Largest Procedure for Estiamating Distributions
Appendix D. Pool Size Conditional to Pool Ranks
References

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