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Statistical Inversion of Electromagnetic Logging Data

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This book presents a comprehensive introduction to well logging and the inverse problem. It explores challenges such as conventional data processing methods’ inability to handle local minima issues, and presents the explanations in an easy-to-follow way.

The book describes statistical data interpretation by introducing the fundamentals behind the approach, as well as a range of sampling methods. In each chapter, a specific method is comprehensively introduced, together with representative examples.

The book begins with basic information on well logging and logging while drilling, as well as a definition of the inverse problem. It then moves on to discuss the fundamentals of statistical inverse methods, Bayesian inference, and a new sampling method that can be used to supplement it, the hybrid Monte Carlo method. The book then addresses a specific problem in the inversion of downhole logging data, and the interpretation of earth model complexity, before concluding with a meta-technique called the tempering method, which serves as a supplement to statistical sampling methods.
Given its scope, the book offers a valuable reference guide for drilling engineers, well logging tool physicists, and geoscientists, as well as students in the areas of petroleum engineering and electrical engineering.

Availability
Inventory Code Barcode Call Number Location Status
2108000133EB0005384662.8 She sCentral Library (OPAC)Available
Detail Information
Series Title
SpringerBriefs in Petroleum Geoscience & Engineering
Call Number
662.8 She s
Publisher
Switzerland : Springer Cham.,
Collation
vii, 79p.:ill
Language
English
ISBN/ISSN
978-3-030-57097-2
Classification
662.8
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Fuels
Specific Detail Info
-
Statement of Responsibility
Other version/related

No other version available

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