Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum GeosciencesïÅưprovides 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" refer...

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Bibliographic Details

Main Authors:	Mishra, Srikanta 1958- (Author), Datta-Gupta, Akhil 1960- (Author)
Format:	Electronic eBook
Language:	English
Published:	Cambridge, MA Elsevier [2018]
Edition:	First edition
Subjects:	TECHNOLOGY & ENGINEERING / Mining Petroleum / Geology / Data processing Petroleum / Geology / Statistical methods Petroleum > Geology > Statistical methods Petroleum > Geology > Data processing
Online Access:	FAW01 Volltext
Summary:	Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum GeosciencesïÅưprovides 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
Item Description:	Includes bibliographical references and index
Physical Description:	1 online resource
ISBN:	9780128032800 0128032804