Computational Geo-electromagnetics: Methods, Models, and Forecasts: Volume 5 – Ebook Instant Download/Delivery ISBN(s): 9780128196311,0128196319
Product details:
- ISBN-10 : 0128196319
- ISBN-13 : 978-0128196311
- Author(s):
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.
Table contents:
Part 1. Methodology of EM data interpretation
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
Part 2. Models of geological medium
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 a 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
Part 3. Forecasting petrophysical properties of rocks
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
Appendix A. Empirical formulas relating electrical conductivity, seismic velocities, and porosity
Index
People also search:
computational geophysics
computational electromagnetics
computational geology
computational electromagnetics course
geomagnetically induced current
best computational geometry book