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Electromagnetic Geothermometry /
Electromagnetic Geothermometry explores, presents and explains the new technique of temperature estimation within the Earth's interior; the Electromagnetic technique will identify zones of geothermal anomalies and thus provides locations for deep drilling. This book includes many case studies f...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam, Netherlands :
Elsevier,
[2015]
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Title Page; Copyright Page; Contents; Preface; Part I
- Methodology; Chapter 1
- Electromagnetic Sounding of Geothermal Areas; 1.1
- Introduction; 1.2
- Conceptual models of geothermal areas; 1.3
- Factors affecting electrical resistivity of rocks; 1.3.1
- Temperature; 1.3.2
- Rock Porosity and Permeability; 1.3.3
- Alteration Mineralogy; 1.4
- Imaging of geothermal areas; 1.4.1
- MT Sounding; 1.4.2
- Other EM Methods; 1.4.3
- 3-D Resistivity Models of Geothermal Zones; 1.5
- EM footprints of thermotectonics, faulting, and fracturing; 1.6
- Monitoring of the target macroparameters
- 1.7
- Using of geological and other geophysical data1.8
- Constraining locations for drilling boreholes; 1.9
- Conclusions; References; Chapter 2
- Techniques Used for Estimating the Temperature of the Earth's Interior; 2.1
- Temperature models based on the boreholes' logs and the heat flow data; 2.2
- Temperature estimations using indirect geothermometers; 2.2.1
- Mineral Geothermometers; 2.2.2
- Hydrochemical Geothermometers; 2.2.3
- Gas Geothermometers; 2.2.4
- Isotopic Geothermometers; 2.2.5
- Geothermometers Based on the Seismicity Bounds
- 2.3
- Interplay between the electromagnetic sounding data, rock physics, and prior geological information2.4
- Technique for the deep temperature model building using the global magnetovariational sounding data and guess about t...; 2.4.1
- Analysis of the Mantle Temperature Models; 2.4.2
- An Updated Formula for Deep Electrical Conductivity; 2.4.3
- The Temperature Model of the Mantle; 2.5
- Conclusions; References; Chapter 3
- Neural Network Approach to the Temperature Estimation; 3.1
- Introduction; 3.2
- ANN with a teacher (backpropagation technique); 3.3
- Testing of the ANN
- 3.3.1
- Analytical Temperature Model of the Geothermal Reservoir3.3.2
- Effect of the Data Volume; 3.3.3
- Effect of the "Geographic" Factor; 3.4
- An example of the neural network based temperature forecast in the geothermal area; 3.4.1
- Data; 3.4.2
- Effect of the Temperature Logs' Number; 3.4.3
- Effect of the Temperature Logs' Type; 3.5
- Conclusions; References; Chapter 4
- Indirect Electromagnetic Geothermometer; 4.1
- General scheme of the electromagnetic geothermometer; 4.2
- EM Temperature Interpolation in the interwell space; 4.2.1
- Effect of the Data Volume
- 4.2.2
- Effect of the Neuronet Training Strategy4.2.3
- Effect of the Geology and Hydrological Conditions; 4.3
- EM temperature extrapolation in depth; 4.3.1
- Sedimentary Cover; 4.3.1.1
- Data and Thermometer Calibration; 4.3.1.2
- Temperature Extrapolation; 4.3.2
- Geothermal Area; 4.3.2.1
- Data and Thermometer Calibration; 4.3.2.2
- Temperature Extrapolation; 4.3.3
- Robustness Evaluation; 4.4
- Conclusions; References; Part II
- Case Studies; Chapter 5
- Estimation of the Deep Temperature Distribution in the Chu Depression (Northern Tien Shan)
- 5.1
- Geological setting and the regime of the underground waters