Statistical Methods for Estimating Petroleum Resources
by
P.J. Lee
Book Details
Format
Hardback or Cased Book
ISBN-10
0195331907
ISBN-13
9780195331905
Publisher
Oxford University Press Inc
Imprint
Oxford University Press Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 1st, 2008
Print length
258 Pages
Weight
550 grams
Dimensions
15.50 x 23.60 x 2.30 cms
Product Classification:
EconomicsProbability & statisticsEconomic geology
AI Summary
Ksh 24,050.00
Manufactured on Demand
0 in stock
Delivery Location
Delivery fee: Select location
Secure
Quality
Fast
This book describes procedures for determining the total hydrocarbon (petroleum) resource or resource potential in a region.
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.
Get Statistical Methods for Estimating Petroleum Resources by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Oxford University Press Inc and it has pages.
Discover books you might love based on this title.
More in This Genre
Observing Interaction
Ksh 7,750.00
Probability, Statistics, And Decision Making In The Atmospheric Sciences
Ksh 27,900.00
Doughnut Economics for Regenerative Business Design
Ksh 7,900.00
Emergency and Backup Power Sources
Ksh 9,650.00
Foreign Investment in Rapidly Growing Countries
Ksh 16,200.00
Statistical Process Control
Ksh 9,350.00