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Computational Geo-Electromagnetics, Volume 5 - Methods, Models, and Forecasts (Paperback) Loot Price: R3,061
Discovery Miles 30 610
Computational Geo-Electromagnetics, Volume 5 - Methods, Models, and Forecasts (Paperback): Viacheslav V. Spichak

Computational Geo-Electromagnetics, Volume 5 - Methods, Models, and Forecasts (Paperback)

Viacheslav V. Spichak

Series: Computational Geophysics

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Loot Price R3,061 Discovery Miles 30 610 | Repayment Terms: R287 pm x 12*

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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.

General

Imprint: Elsevier Science Publishing Co Inc
Country of origin: United States
Series: Computational Geophysics
Release date: February 2020
First published: 2020
Authors: Viacheslav V. Spichak
Dimensions: 235 x 191mm (L x W)
Format: Paperback
Pages: 462
ISBN-13: 978-0-12-819631-1
Categories: Books > Science & Mathematics > Physics > Applied physics & special topics > Geophysics
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LSN: 0-12-819631-9
Barcode: 9780128196311

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