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Statistical Inversion of Electromagnetic Logging Data
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kr 99
Statistical Inversion of Electromagnetic Logging Data

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.

 


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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.

 


Produktdetaljer
Sprog: Engelsk
Sider: 79
ISBN-13: 9783030570965
Indbinding: Paperback
Udgave:
ISBN-10: 3030570967
Udg. Dato: 28 aug 2020
Længde: 0mm
Bredde: 235mm
Højde: 155mm
Oplagsdato: 28 aug 2020
Forfatter(e) Zhu Han, Xuqing Wu, Yueqin Huang, Jiefu Chen, Qiuyang Shen


Kategori Bayesiansk statistik


Sprog Engelsk


Indbinding Paperback


Sider 79


Udgave


Længde 0mm


Bredde 235mm


Højde 155mm


Oplagsdato 28 aug 2020

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