Computational Geo-Electromagnetics: Methods, Models, and Forecasts

Viacheslav V. Spichak

Informasi Umum

Kode

20.21.2146

Klasifikasi

910.285 - Geographic information systems

Jenis

Buku - Elektronik (E-Book)

Subjek

Geographical Information Systems, Electromagnetic Theory, Computational Intelligence,

No. Rak

Dilihat

138 kali

Informasi Lainnya

Abstraksi

The book has three parts. In Part I (Methodology of EM data interpretation) two alternative approaches to EM data inversion are considered: the Bayesian statistical inversion and neural networkebased algorithms. The former one provides flexible tools for taking into account prior information and expert estimates during EM data inversion and quantifying its results in terms of posterior parameters’ uncertainties. The latter one is especially useful in the case of constructing 3-D models (in particular, in terms of macroparameters) from sparse, irregularly distributed or a single-profile electromagnetic data. Finally, a review of the methods used for joint analysis and inversion of EM and other geophysical data is presented.

In Part II (Models of geological medium) the approaches considered in the Part I are applied to study methodological issues of EM modeling volcanoes (by examples of Vesuvio, Kilauea, Elbrus, Komagatake, Hengill), geothermal and hydrocarbon reservoirs. Conceptual models of the Icelandic type crust, a lens in the upper crust and copper-porphyry ore formation are suggested based on joint analysis of EM and other geophysical data.

In Part III (Forecasting petrophysical properties of rocks) the techniques for estimating temperature, seismic velocities, and porosity from the electrical resistivity as proxy parameter are considered. This part is supplemented by Appendix, which includes useful empirical relations between electrical resistivity, seismic velocities and porosity.