Statistical Methods for Estimating Petroleum Resources by P.J. Lee

Statistical Methods for Estimating Petroleum Resources

byP.J. LeeEditorJo Anne DeGraffenreid

Hardcover | April 9, 2008

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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 thismethodology is so widely used, there is no "user's guide" to it, and this book will be the definitive resource for PETRIMES users.

About The Author

P.J. Lee recieved his doctoral degree from McMaster University in Canada, after which he worked for Home Oil Company and then joined the Geological Survey of Canada in Calgary in 1979. In 1996, he became Professor and Chairman of the Department of Earth Sciences, National Cheng Kung University of Taiwan. After returning to Canada as P...
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Title:Statistical Methods for Estimating Petroleum ResourcesFormat:HardcoverDimensions:192 pages, 9 × 6 × 2 inPublished:April 9, 2008Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0195331907

ISBN - 13:9780195331905

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Table of Contents

1. Introduction2. Evaluation Models3. Estimating Mature Plays4. More About Discovery Process Models5. Evaluating Conceptual Plays6. Estimation Update and Feedback Procedures7. Other Assessment Methods- An Overview8. Concluding RemarksAppendix A. Estimation of Superpopulation Parameters from a Successively Sampled Finite PopulationAppendix B. Nonparametric Procedure for Estimating DistributionsAppendix C. The Largest Procedure for Estiamating DistributionsAppendix D. Pool Size Conditional to Pool RanksReferences