
Computational Geo-Electromagnetics
Methods, Models, and Forecasts
Description
Key Features
- Provides algorithms for inversion of incomplete, rare or irregularly distributed EM data
- Features methodological issues of building geoelectrical models
- Offers techniques for retrieving petrophysical properties from EM sounding data and well logs
Readership
Researchers working in electromagnetic sounding of the Earth, applied geophysics and computational electrodynamics
Table of Contents
1. 3-D EM forward modeling techniques
2. Three dimensional Bayesian statistical inversion
3. Methodology of the neural network estimation of the model macro-parameters
4. Building of 3-D geoelectrical models at the lack of magnetotelluric data
5. Methods for joint inversion and analysis of EM and other geophysical data
6. Electromagnetic study of geothermal areas
7. 3-D magnetotelluric sounding of volcanic interiors: methodological aspects
8. A conceptual model of the Earth’s crust of Icelandic type
9. Conceptual model of the lens in the upper crust (Northern Tien Shan case study)
10. Conceptual model of the copper – porphyry ore formation (Sorskoe copper-molybdenum ore deposit case study)
11. Electromagnetic sounding of hydrocarbon reservoirs
12. Temperature forecasting from electromagnetic data
13. Recovering seismic velocities and electrical resistivity from the EM sounding data and seismic tomography
14. Porosity forecast from EM sounding data and resistivity logs
Product details
- No. of pages: 462
- Language: English
- Copyright: © Elsevier 2020
- Published: February 1, 2020
- Imprint: Elsevier
- Paperback ISBN: 9780128196311
- eBook ISBN: 9780128208205
About the Author
Viacheslav Spichak
Affiliations and Expertise
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