Statistical methods for estimating petroleum resources /

Saved in:
Bibliographic Details
Author / Creator:Lee, P. J. (Pei-Jen), 1934-1999.
Imprint:Oxford ; New York : Oxford University Press, 2008.
Description:1 online resource (xxi, 234 pages) : illustrations.
Language:English
Series:Studies in mathematical geology ; 8
Studies in mathematical geology ; 8.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11172047
Hidden Bibliographic Details
ISBN:9780199715800
0199715807
9780195331905
0195331907
Notes:Includes bibliographical references (pages 213-220) and index.
Print version record.
Summary:"Statistical Methods for Estimating Petroleum Resources 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 this book, extensively illustrated by numerous real case studies. All important assessment procedures are discussed and compared, and their mathematics are fully developed in the appendices."--Jacket.
Other form:Print version: Lee, P.J. (Pei-Jen), 1934-1999. Statistical methods for estimating petroleum resources. Oxford ; New York : Oxford University Press, 2008 9780195331905 0195331907
Description
Summary: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.
Physical Description:1 online resource (xxi, 234 pages) : illustrations.
Bibliography:Includes bibliographical references (pages 213-220) and index.
ISBN:9780199715800
0199715807
9780195331905
0195331907