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portada Computational Geo-Electromagnetics: Methods, Models, and Forecasts (Computational Geophysics)
Type
Physical Book
Publisher
Author
Year
2020
Language
English
Pages
462
Format
Paperback
ISBN13
9780128196311
Edition No.
1
Categories

Computational Geo-Electromagnetics: Methods, Models, and Forecasts (Computational Geophysics)

Viacheslav V. Spichak (Author) · Elsevier · Paperback

Computational Geo-Electromagnetics: Methods, Models, and Forecasts (Computational Geophysics) - Viacheslav V. Spichak

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Synopsis "Computational Geo-Electromagnetics: Methods, Models, and Forecasts (Computational Geophysics) "

Computational Geo-Electromagnetics: Methods, Models, and Forecasts, Volume Five in the Computational Geophysics series, is devoted to techniques for building of geoelectrical models from electromagnetic data, featuring Bayesian statistical analysis and neural network algorithms. These models are applied to studying the geoelectrical structure of famous volcanoes (i.e., Vesuvio, Kilauea, Elbrus, Komagatake, Hengill) and geothermal zones (i.e., Travale, Italy; Soultz-sous-Forets, Elsace). Methodological recommendations are given on electromagnetic sounding of faults as well as geothermal and hydrocarbon reservoirs. Techniques for forecasting of petrophysical properties from the electrical resistivity as proxy parameter are also considered. Computational Geo-Electromagnetics: Methods, Models, and Forecasts offers techniques and algorithms for building geoelectrical models under conditions of rare or irregularly distributed EM data and/or lack of prior geological and geophysical information. This volume also includes methodological guidelines on interpretation of electromagnetic sounding data depending on goals of the study. Finally, it details computational algorithms for using electrical resistivity for properties beyond boreholes.Provides algorithms for inversion of incomplete, rare or irregularly distributed EM dataFeatures methodological issues of building geoelectrical modelsOffers techniques for retrieving petrophysical properties from EM sounding data and well logs

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