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Autor(en): 
  • Zhu Han
  • Jiefu Chen
  • Yueqin Huang
  • Qiuyang Shen
  • Xuqing Wu
  • Statistical Inversion of Electromagnetic Logging Data 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  August 2020  
    Genre:  Naturwissensch., Medizin, Technik 
     
    BayesianInference / DataInterpretation / DataScience / EarthModelImaging / ElectromagneticWellLogging / Geographische Informationssysteme (GIS) und Fernerkundung / Geowissenschaften / Markovchain
    ISBN:  9783030570965 
    EAN-Code: 
    9783030570965 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 6 mm 
    Gewicht:  149 gr 
    Seiten:  88 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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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