Buch, Englisch, 79 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 149 g
Buch, Englisch, 79 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 149 g
Reihe: SpringerBriefs in Petroleum Geoscience & Engineering
ISBN: 978-3-030-57096-5
Verlag: Springer International Publishing
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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Weitere Infos & Material
Introduction.- Foundation of Bayesian Inversion and Sampling Methods.- Beyond the Random Walk: a Hybrid Monte Carlo Sampling.- Interpret Model Complexity: Trans-Dimensional Markov Chain Monet Carlo Method.- Accelerated Bayesian Inversion Using Parallel Tempering