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Statistical Inversion of Electromagnetic Logging Data

Af: Xuqing Wu, Yueqin Huang, Qiuyang Shen, Jiefu Chen, Zhu Han Engelsk Paperback

Statistical Inversion of Electromagnetic Logging Data

Af: Xuqing Wu, Yueqin Huang, Qiuyang Shen, Jiefu Chen, Zhu Han Engelsk Paperback
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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.

 


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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.

 


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

Kategori Bayesiansk statistik

ISBN-13 9783030570965

Sprog Engelsk

Indbinding Paperback

Sider 79

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 28 aug 2020

Oplagsdato 28 aug 2020

Forlag Springer Nature Switzerland AG