Friedemann Samrock: Catalogue data in Spring Semester 2021

Name Dr. Friedemann Samrock
Geothermische Energie u. Geofluide
ETH Zürich, NO F 61
Sonneggstrasse 5
8092 Zürich
Telephone+41 44 633 89 03
DepartmentEarth Sciences

651-4109-00LGeothermal Energy3 credits4GM. O. Saar, P. Bayer, E. Rossi, F. Samrock
AbstractThe course will introduce students to the general principles of Geothermics and is suitable for students who have a basic knowledge of Geoscience or Environmental Science (equivalent of a Bachelor degree).
ObjectiveTo provide students with a broad understanding of the systems used to exploit geothermal energy in diverse settings.
ContentThe course will begin with an overview of heat generation and the thermal structure of the Earth. The basic theory describing the flow of heat in the shallow crust will be covered, as will be the methods used to measure it. Petrophysical parameters of relevance to Geothermics, such as thermal conductivity, heat capacity and radiogenic heat productivity, are described together with the laboratory and borehole measurement techniques used to estimate their values. The focus will then shift towards the exploitation of geothermal heat at various depths and temperatures, ranging from electricity and heat production in various types of deep geothermal systems (including high and medium temperature hydrothermal systems, and Engineered Geothermal Systems at depths of 5 km or more), to ground-source heat pumps installed in boreholes at depths of a few tens to hundreds of meters for heating domestic houses.
The subjects covered are as follows:
Week 1: Introduction. Earth's thermal structure. Conductive heat flow
Week 2: Heat flow measurement. Advective heat flow. Petrophysical parameters and their measurement.
Week 3: Temperature measurement. Hydrothermal reservoirs & well productivity
Week 4: Hydrological characterisation of reservoirs. Drilling. Optimized systems
Week 5: Petrothermal or Engineered Geothermal Systems
Week 6: Low-enthalpy systems 1
Week 7: Low-enthalpy systems 2.
Lecture notesThe script for each class will be available for download from the Ilias website no later than 1 day before the class.
651-5104-00LDeep Electromagnetic Sounding of the Earth and Planetary Interiors
The attendance of Mathematical Methods (651-4130-00L, Autumn Semester) is advisable.
3 credits2GA. Kuvshinov, A. Grayver, F. Samrock
AbstractThe course guides students in learning about phenomenon of the electromagnetic induction in the Earth and other terrestrial planets. The course focuses on studying fundamentals of electromagnetism as well as on analysis and interpretation of long-period time-varying EM fields observed on the ground and in space, which are used to image electrical conductivity in the Earth and planetary interiors.
ObjectiveThe objectives of this course are:
(i) Development of the geophysical and mathematical tools needed to understand electromagnetic induction through the analysis of the Maxwell's equations.
(ii) Introduction to the physical nature of magnetospheric, ionospheric and ocean induced electromagnetic signals.
(iii) Basics of the data interpretation and applications in the fields of deep mantle physics, geothermal exploration and space weather hazards.
ContentTentative content of the lectures:
(i) Introduction to electromagnetic induction: governing equations, summary of the main EM sounding methods
(ii) Electrical conductivity of rocks and minerals: conduction mechanisms, anisotropy
(iii) Basics of geomagnetic deep sounding (GDS) method: solution of Maxwell’s equations in spherical geometry, GDS transfer functions
(iv) Basics of magnetotelluric (MT) method: solution of Maxwell’s equations in Cartesian geometry, MT transfer functions
(v) Motional induction: tidal magnetic signals, satellite observations
(vi) Data acquisition and processing
(vii) Numerical solution of Maxwell's equations in models with 3-D conductivity distribution
(viii) Geomagnetic depth sounding of terrestrial planets
(ix) Other applications: geothermal exploration, mantle conductivity studies, space weather modeling