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Author: P.J. Lee Publisher: Oxford University Press ISBN: 0199715807 Category : Mathematics Languages : en Pages : 257
Book 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.
Author: P.J. Lee Publisher: Oxford University Press ISBN: 0199715807 Category : Mathematics Languages : en Pages : 257
Book 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.
Author: Bernardo F. Grossling Publisher: ISBN: Category : Petroleum reserves Languages : en Pages : 28
Book Description
A critique of the probabilistic significance of certain concepts and methods used in petroleum-resource assessment. To that end, a probabilistic model is sketched.
Author: Gordon M. Kaufman Publisher: ISBN: Category : Languages : en Pages : 20
Book Description
Prior to his untimely death, my friend Dave Wood gave me wise counsel about how best to organize a paper describing uses of statistics in oil and gas exploration. A preliminary reconnaissance of the literature alerted me to the enormous range of topics that might be covered. Geology, geophysics with particular attention to seismology, geochemistry, petroleum engineering and petroleum economics--each of these disciplines plays an important role in petroleum exploration and each weaves statistical thinking into its fabric in a distinctive way. An exhaustive review would be book length. Dave and I agreed that a timely review paper of reasonable length would: (1) Illustrate the range of statistical thinking of oil and gas exploratists. (2) Concentrate on topics with statistical novelty, show how statistical thinking can lead to better decision making and let the reader now about important controversies that might be resolved by better use of statistical methods. (3) Focus on topics that are directly relevant to exploration decision making and resource estimation. In response to Dave's sensible suggestions, the Department of Interior's 1989 assessment of U.S. undiscovered oil and gas will be a tour map for a short trip through a large territory of statistical methods and applications. Were he here to review this review, I know that it would be better than it is.
Author: Srikanta Mishra Publisher: Elsevier ISBN: 0128032804 Category : Science Languages : en Pages : 252
Book Description
Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification. Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the book focuses on fundamentals and practical examples of such key topics as multivariate analysis, uncertainty quantification, data-driven modeling, and experimental design and response surface analysis. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques. The book will also be useful for professionals dealing with subsurface flow problems in hydrogeology, geologic carbon sequestration, and nuclear waste disposal. Authored by internationally renowned experts in developing and applying statistical methods for oil & gas and other subsurface problem domains Written by practitioners for practitioners Presents an easy to follow narrative which progresses from simple concepts to more challenging ones Includes online resources with software applications and practical examples for the most relevant and popular statistical methods, using data sets from the petroleum geosciences Addresses the theory and practice of statistical modeling and data analytics from the perspective of petroleum geoscience applications
Author: Wallace F. Lovejoy Publisher: Routledge ISBN: 1317515056 Category : Science Languages : en Pages : 186
Book Description
Methods of Estimating Reserves of Crude Oil, Natural Gas, and Natural Gas Liquids, first published in 1965, aims to throw new light on a field of knowledge vital to consideration of problems of public policy regarding future sources of energy. This book will be of interest to students of environmental studies.
Author: National Research Council Publisher: National Academies Press ISBN: 0309045339 Category : Science Languages : en Pages : 193
Book Description
When the U.S. Department of the Interior released its 1989 estimates of how much undiscovered oil and gas remain in the United States, a controversy ensued. Some members of the petroleum industry charged that the estimates were too low. This book evaluates the scientific credibility of the statistical and geological methods underlying the estimates.
Author: P.J. Lee
Author: P.J. Lee
Author: Harold N. Kvisle
Author: Bernardo F. Grossling
Author: Gordon M. Kaufman
Author: Srikanta Mishra
Author: Wallace F. Lovejoy
Author: 
Author: National Research Council
Author: 
Author: Massachusetts Institute of Technology. Energy Laboratory