E-Book, Englisch, 590 Seiten, eBook
Reihe: Springer Geophysics
Roy Natural Electromagnetic Fields in Pure and Applied Geophysics
1. Auflage 2020
ISBN: 978-3-030-38097-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 590 Seiten, eBook
Reihe: Springer Geophysics
ISBN: 978-3-030-38097-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This research monograph presents all the branches of geophysics based on natural electromagnetic fields and their associated subjects. Meant for postgraduate and research level courses, it includes research guidance and collection of magnetotelluric data in some parts of Eastern India and their qualitative and quantitative interpretation. Specific topics highlighted include (i) Electrotellurics, (ii) Magnetotellurics, (iii) Geomagnetic Depth Sounding and Magnetometer Array Studies, (iv) Audio Frequency Magnetotellurics and Magnetic Methods, (v) Marine Magnetotelluric and Marine Controlled Source Electromagnetic Methods, (vi) Electrical Conductivity of Rocks and Minerals and (vii) Mathematical Modelling and Some Topics on Inversion needed for Interpretation of Geoelectrical Data.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Chapter 1. General Introduction1.1 Introduction1.2 Preliminaries on Electromagnetic Waves and Their Application in Geophysical Investigation1.3 Geomagnetic Field1.3.1 Magnetic Field of Internal Origin1.3.1.1 Dipole Field of Internal Origin1.3.1.2 Nondipole Field of Internal Origin1.3.1.3 Inclination and Declination of the Magnetic Field1.3.2 Nondipole Time Varying Magnetic Field of External Origin1.4 Solar Radiation1.5 Solar Energy1.6 Sun Spot Cycle1.7 Solar Quiet Day (Sa) Variations1.8 L. Variations1.9 Equatorial Electrojet (EEJ) and Polar Electrojet (PEJ)1.10 Solar Flare Effects (SFE)1.11 Magnetic Storms and Substorms1.12 D, Dst, Ds Variations1.13 Bay Type Variations1.14 Interaction Between the Sun and the Earth1.15 Magnetosphere1.16 Cosmic Rays1.17 Van Allen Radiation Belt1.18 Ionosphere1.19 Ring Current1.20 Magnetotail1.21 Geomagnetic Field Variations1.22 Classifications and Causes of the Different Pulsations and Micropulsations1.22.1 Classification by Jacobs and Sinno (1960)1.22.2 Classification by Madam Troitskaya (1962)1.22.3 Classification by Benioff (1960)1.22.4 Classification by Tepley and Wentworth (1962)1.22.5 Classification by Vladimirov and Kleimenova (1962)1.23 High Frequency Natural Electromagnetic Signals, Sferics1.24 Earth's Natural Electromagnetic Fields as a Subject1.24.1 Electrotelluric Method (T)1.24.2 Magnetotelluric Methods (MT)1.24.3 Geomagnetic Depth Sounding (GDS)1.24.4 Magnetometer Array Studies (MA)1.24.5 Magnetovariational Sounding (MVS)1.24.6 Audiofrequency Magnetotelluric Method (AMT)
1.24.7 Sea Floor Magnetotelluric Method (SFMT)1.24.8 Marine Magnetotellurics (MMT)1.24.9 Audiofrequency Magnetic Method (AFMAG)1.25 Controlled Sources1.25.1 Controlled Source Audiofrequency Magnetotellurics (CSAMT)1.25.2 Controlled Source Marine Electromagnetics (CSEM)1.25.3 Long Offset Electromagnetic Transient (LOTEM)1.25.4 Radio Magnetotellurics (RMT)1.26 Coverage of This Book1.27 References
Chapter 2. Electrical Conduction Through Rocks2.1 Introduction2.2 Electrical Conductivity2.2.1 Expression of Electrical Conductivity for an Homogeneous and Isotropic Medium due to a Point Source of Current2.2.2 Specific Resistivity or Conductivity2.2.3 Ohm's Law2.3 Electrical Permittivity and Displacement Current2.3.1 Dielectric Constant2.3.2 Electric Displacement and Displacement Vector D2.3.3 Tensor Electrical Permittivity 2.4 Magnetic Induction and Magnetic Permeability2.4.1 Magnetic Induction2.4.2 Magnetic Permeability2.5 Principal Methods of Electrical Conduction2.5.1 Electronic Conduction (Conduction Through Metals)2.5.2 Conduction of Current Through Semiconductors2.5.3 Conduction of Current Through Solid Electrolytes2.5.4 Conduction of Current Through Electrical Displacement2.5.5 Electrolytic or Ionic Conduction2.6 Factors Which Control the Electrical Conductivity of the Earth2.6.1 Porosity of Rocks2.6.2 Conductivity of Pore Fluids2.6.3 Size and Shape of Pore Spaces2.6.4 Conductivity of Mineral Inclusions2.6.5 Size and Shape of Mineral Grains2.6.6 Temperature2.6.7 Frequency of Excitation Current2.6.8 Ductility and Degree of Partial Melt in Rocks2.6.9 Electrical Conductivity of Different Types of Rocks2.6.10 Chemical Activity and Oxygen Fugacity2.6.11 Dependence of Electrical Conductivity on Pressure2.6.12 Dependence of Electrical Conductivity on Volatiles2.6.13 Major Geological Zones of Weaknesses2.7 Piejoelectric Effect2.8 Hall Effect2.9 Maxwells Geoelectrical Conductivity Model2.9.1 Soft Rock2.9.2 Hard Rock2.9.3 Ellipsoidal Grains2.9.4 Alternating Current Conduction2.10 Resisitivities of Metallic Rocks and Minerals2.11 Semiconducting Minerals2.12 Order of Electrical Conductivity of Some Common Metallic Ores2.13 Some Common Geological Good and Bad Conductors2.14 References
Chapter 3. Signal Processing3.1 Introduction3.2 Selection of Block Size3.3 Manual Editing of Time Series3.4 Moving Average Algorithm3.5 Trend Elimination3.6 Fourier Series3.7 Complex Fourier Series3.8 Fourier Series for Discrete Time Period Signal3.9 Integral Transforms3.10 Fourier Transforms3.11 Sinc Function3.12 Two Dimensional Fourier Transform3.13 Aperiodic Function and Fourier Integral3.14 Discrete Fourier Transform3.15 Fast Fourier Transform3.16 Dirac Delta Function3.17 Shanons Sampling Theorem3.18 Linear Filter3.19 Pulse Response of a Linear Filter3.20 Convolution3.21 Z. Transform3.22 Filters and Windows3.23 Cross Correlation and Autocorrelation3.23.1 Cross Correlation3.23.2 Autocorrelation3.23.3 Properties of Auto and Cross Correlation3.24 Autopower and Cross Power Spectrum3.24.1 Energy Density Spectrum of a Periodic Signal3.24.2 Power Density Spectrum of a Periodic Signal3.24.3 Auto Power Spectra3.24.4 Cross Power Spectra3.25 Noise3.26 Robust Processing3.26.1 Introduction3.26.2 Outliers3.26.3 Breakdown Point3.26.4 Median3.26.5 Norm3.26.6 Nongaussian Distribution3.26.7 Seigel's Repeated Median Estimator3.26.8 M-Estimator3.26.9 Field Results3.27 References
Chapter 4. Electrotellurics4.1 Introduction4.2 Basics of Electrotellurics4.3 Comparison of Electrotelluric and Magnetotelluric Frequencies4.4 Nature of Telluric Field4.5 Electrotelluric Method4.6 Potential Measuring Probes4.6.1 Electrode Potential4.6.2 Non Polarisable Electrodes4.7 Field Recording4.8 Relative Ellipse4.8.1 Interconnection Between Base and Mobile Station Vectors4.8.2 Time Domain Analysis4.8.3 Electrotelluric Data Analysis4.9 Triangle Method4.10 Polygon Method4.11 Discussion4.12 Amplitude Ratio Method4.13 Album of Theoretical Electrotelluric Profile Curves4.13.1 Telluric Field over a Vertical Fault4.13.2 Telluric Field over a Basement Asymmetric Anticlinal Structure4.13.3 Telluric Field over Horst Type of Structure4.13.4 Telluric Field over a Graben Type of Structure4.13.5 Telluric Field and its Gradient over a Step Fault4.14 Analytical Continuation of Telluric Field Data4.15 Absolute Ellipse Method4.15.1 Absolute Ellipses4.15.2 Field Plotting of Absolute Ellipse4.15.3 Model Tank Experiment for Generation of Absolute Ellipse4.15.4 Model Tank Generated Absolute Ellipse and the Variation of the Ellipse Parameter due to Simulated Geological Inhomogeneities4.15.5 Absolute Ellipse Generation Equations in a Model Tank4.15.6 Absolute Ellipses over a Conducting Sphere4.15.7 Absolute Ellipses over a Conducting Plate4.16 Interpretation of Electrotelluric Data and Application4.17 Concluding Remarks4.18 References
Chapter-5. Magnetotellurics
5.1 General Introduction
5.2 Plane wave propagation
5.2.1 Advancing Electromagnetic Waves
5.2.2 Plane wave incidence on the surface of the earth
5.3 Skin depth
5.4 Magnetotellurics for 1D layered Earth:A few points of Principle.
5.4.1 Magnetotelluric Four layered Apparent Resistivity and Phase Curves5.4.2 Magnetotellurics is a low resolution tool
5.4.3 For a certain class of 1D models MT fails to resolve the significant subsurface resistivity contrasts even approximately when the resistivity contrast is more than ten times
5.4.4 Magnetotelluric Signal can see a target which is at depth beyond its skin depth
5.4.5 Granite Window is a must for deep magnetotelluric survey because two kilometer thick conducting sediments on top can reduce the sensitivity of the magnetotelluric signals upto three hundred kilometers from the surface and deep inside the upper mantle
5.4.6 Magnetotellurics is a suitable geophysical tool for detecting sediments sandwiched between the flood basalt and crystalline basement5.5 Magnetotelluric Field Work and Field Data
5.5.1 Field Data Acquition
5.5.2 Signal Strength Versus Frequency or Period
5.5.3 Number of Degrees of Freedom versus period
5.5.4 Coherencies
5.5.5 Different Components of the Impedance Tensor Versus Period
5.5.6 Processed Fourier Spectra
5.5.7 Processed Apparent Resistivity and phase Field Data with error bar
5.6 Concept of Optimum Mathematical Rotation in Magnetotellurics
5.6.1 Optimum Rotation Angle and Related Impedance Tensor5.7 Concept of E and H Polarisation(TE and TM Mode)
5.8 MT Impedances
5.9 Estimation of the MT Tensor Components
5.9.1 Estimation of the MT Tensors Using Coherencies
5.9.2 Estimation of MT Impedance Using Single Station Data
5.9.3 Remote Reference Magnetotellurics
5.10 Magnetotelluic Tensor Decomposition
5.10.1 Egger’s Eigen State Decomposition
5.10.2 Bahr’s Tensor Decomposition
5.10.3 Groom Bailey Decomposition5.10.4 Groom Bailey’s Twist and Shear
5.10.5 Jones Decomposition
5.11 Tipper Parameters
5.12 Rotation Invariant Parameters in magnetotellurics
5.12.1 Field Apparent Resistivity Curves using Rotation Invariant Parameters
5.13 Magnetotelluric Phases
5.13.1 Magnetotelluric Phase Tensor5.14 Anisotropy
5.14.1 Anisotropy in Direct Current Domain
5.14.2 Anisotropy in Magnetotelluric Domain
5.14.3 Phase Splitting in Magnetotellurics
5.14.4 Magnetotelluric Phase above 90
5.15 Noise
5.15.1 General Defination
5.15.2 Geophysical Noise
5.15.3 Induced Polarisation
5.15.4 Electromagnetics
5.15.5 Atmospheric/Oceanic and Meteorological Noise.5.15.6 Seismic Noise
5.15.7 Geological Noise
5.15.8 Coherent Noise
5.15.9 Incoherent Noise
5.15.10 Correlated and Uncorrelated Noise
5.15.11 White and Nonwhite Noise5.15.12 Man Made Noise
5.15.13 Natural Noise
5.15.14 Sensor Noise
5.16 Galvanic and Inductive Distortion
5.17 Magnetotelluric Current Channeling
5.18 Magnetotelluric Strike5.19 Dimensionality Indicator
5.19.1 One Dimensional Structure
5.19.2 Two Dimensional Structure
5.19.3 Three Dimensional Structure
5.19.4 Dimensionality Indicator From Phase5.19.5 Dimensionality Indicator From Eigen State Formulation
5.19.6 Swift Skew as a Dimensionality Indicator
5.19.7 Complex Domain Plot of the impedance Tensor as a
Dimensionality Indicator
5.19.8 Impedance Ellipse as a Dimensionality Indicator5.20 Complex Domain Plot of the Impedance Tensor
and Rotation Invariant Tensor
5.21 Static Shift
5.21.1 Curve Shifting
5.21.2 Statistical Averaging5.21.4 Use of Auxilliary Tools
5.21.5 Use of Constraing Parameters
5.21.6 Use of Well Log Data
5.21.7 Higher Current Dipole Length
5.21.8 Static Shift Free Magnetotelluric Parameters
5.22 Magnetotelluric Designs
5.23 Location of the MT study area in eastern part of Indian
Subcontinents where a few magnetotelluric observations
are taken for qualitative to semiquantitat Interpretation
5.24 Qualitative Signatures a very important sector of MagnetotelluricsData interpretation
5.24.1 Qualitative signature of a Rift Valley or Major Continental
Fracture
5.24.2 Phase determinant Pseudosection can depict the subsurfacewith greater clarity
5.24.3 Qualitative Magnetotelluric Signatures of faults
5.24.4 Qualitative Magnetotelluric signature of Sukinda Thrust
5.24.5 Pseudo 3D pseudosections of rotation invariant phases across the
Sukinda thrust.5.24.6 Some of the Rotation Invariant Parameters
are heavy weight parameters
5.24.7 Different MT parameter PseudoSections from the
field data across Sukinda Thrust5.24.8 Qualitative signature in Bahr’s Telluric Vectors across Sukinda Thrust
5.24.9 Induction Arrows show the Major Fracture zone
in the Archaean Proterozoic collision Zone
5.24.10 Rotation Invariant Parameters are less affected by
Static Shift5.24.11 Profiles and Pseudosections from Mathematical Models
5.25 Semiquantitative to Quantitative Signatures of the MT data
5.25.1 One Dimensional Inversion of Magnetotelluric Data
5.25.2 Two Dimensional Inversion and 2D Model5.25.3 2D and Pseudo3D model of the Mahanadi Graben
5.26 Application of MT in Earth Sciences
5.26.1 Major breakes in Crust and Upper Mantle
5.26.2 MT for measuring Asthenosphere temperature as well as for mapping
High heat flow areas5.26.3 MT for Oil Exploration
5.26.4 MT for mapping convergent and divergent plate margins
5.26.5 MT for earthquake Prediction
5.26.6 MT can measure Permafrost Thickness
5.26.7 MT for ground water exploration5.27 Appraisal
5.29 References
Chapter-6
Auxilliary Tools in Magnetotellurics
6.1 Introduction6.2 Audiofrequency Magnetotellurics(AMT)
6.2.1 Source Characteristics
6.2.2 Nature of the AMT signal
6.2.3 Field Procedure6.2.4 Qualitative Interpretation
6.2.4.1 Pseudosection Plots
6.2.4.2 Pseudosections of Theoretical Models
6.2.4.3 Field examples of pseudosections
6.2.4.4 Average Resistivity Plot6.2.4.5 Quantitative Interpretation
6.2.5 Appplication
6.3 Controlled Source Audifrequency Magnetotellurics(CSAMT)
6.3.1 Introduction
6,3,2 Skin depth and Effective Penetration Depth6.3.3 Pseudosections of CSAMT Data
6.3.4 CSAMT sources
6.3.4.1 Electromagnetic Field Due to a Vertical Oscillating Electric Dipole
6.3,4.2 Oscillating Vertical Magnetic Dipole On the Surface of The Earth6.3.4.3 Electromagnetic Field Due to a Long Cable On the Surface of an homogenous Earth.
6.3.4.4 Scalor CSAMTSource
6.3.4.5 CSAMT Pseudosection
6.3.4 Field Survey6.3.5 Interpretation
6.4 Long Offset Electromagnetic Transients (LOTEM)
6.4.1 Introduction
6.4.2 LOTEM Data Acquisition6.4.3 LOTEM Theory
6.4.4 Data Processing
6.4.4 Interpretation of LOTEM Data
6.4.5 Application
6.5 Radiomagnetotellurics(RMT)
6.6 ReferencesChapter-7
Geomagnetic Depth Sounding(GDS)
7.1 Introduction
7.2 Separation of External and Internal Field
7.3 Data Analysis7.4 Separation of normal and anomalous Field
7.5 Spherical Harmonics
7.5.1 Solution of Laplace Equation in Spherical Polar Coordinates
7.5.1 When Potential is a function of all the three coordinates7.5,2 Associated Legendre’s Polynomial
7.6 Magnetometer Array Studies
7.6.1 Recording of Geomagnetic Data
7.6.2 Examples of Magnetometer Arrays
7.6.3 Examples from India7.6.4 Magnetogram
7.6.5 Processing of Geomagnetic data
7.6.5.1 Fourier Transform Maps
7.6.5.2 Amplitude Spectra
7.6.6 Transfer Function analysis7.6.7 Single site Transfer Function
7.6.8 Hypothetical Event analysis
7.7. Induction Arrows
7.8. Parkinsons Arrors7.9. Wiese Arrow
7.10 Schmukher’s Concept of Transfer Function and Induction Arrow
7.11. Z/A Pseudosections
7.12 Difference Induction Arrows
7.13 Complex Demodulation7.13.1 Definition and Significance of Complex Demodulation
7.13.2 Relationship to Power Spectra
7.13.3 Computational Procedures
7.14 Geomagnetic Depth Sounding7.14,1 Approach-A
7.14.2 Approach B
7.14.3 Approach C
7.15 Audiofrequency Magnetic Method(AFMAG)
7.10. Concluding Remarks7.11 References
Chapter-8
Marine Electromagnetics
8.1 Introduction
8.2 Marine Magnetotellurics
8.2.1 Sea Floor Magnetotellurics (SFMT) for Solid Earth
8.2,2 Marine Magnetotellurics(MMT) for Oil Exploration8.3 Marine Controlled source Electromagnetics(CSEM) for Oil Exploration
8.4 Magneometric Resistivity Method(MMR)
8.4.1 MMR Theory for Layered Earth
8.5 Moses
8.5 Self Potentisls
8.6 References
Chapter-9Mathematical modeling
9.1 Introduction
9.2 Two and Three Dimensional Problems
9.2.1 Introduction
9.3 Finite Element Method9.3.1 Concept of Virtual Work and Energy Minimisation Method
In Magnetotelluric Domain(Coggon’s Model)
9.3.2 Formulation Steps
9.3.3 Minimisation of the Integral9.4 Energy Minimisation Method in Direct Current Domain
9.4.1 Derivation of Functional from Power Consideration
9.4.2 Equivalence beteween Poisson’s equation and minimisation of Power
9.4.3 Finite Element Formulation9.4.4 Minimisation of power
9.5 Galerkin.s Method in Finite Element
Magnetotelluric Domain
9.5.1 Introduction9.5.2 Finite Element Formulation for Helmholtz Wave Equations
9.5.3. Element Equation
9.5.4 TM Mode Magnetotellurics
9.5.5 TE Mode Magnetotellurics9.5.6. Global Matrix Formulation
9.6 Isoparametric Elements in Finite Elements
9.6.1 Introduction
9.6.2 Triangular Elements(Three Noded)
9.6.3 Quadrilateral Elements(Four Noded)9.6.4 Eight Noded Elements
9.6.5 Shape Function using Natural Coordinate
9.7 Finite Difference Method Three Dimensional Problem Magnetotellurics Mackie,Madden and Wannamaker’s Model
9.7.1 Introduction
9.7.2 Finite Difference Formulation
9.7.3 Boundary Conditions
9.7.4 Two Dimensional Case
9.7.5 Transverse Magnetic (TM) Mode9.7.6 Transverse Electric (TE) Mode
9.7.7 The Equations in Matrix Form
9.7.8 Preconditioning of matrix
9.7.9 Solution of the matrix
9.8 Integral Equation Method9.8.1 Introduction
9.8.2 Formulation of an electromagnetic boundary value problem
9.8.3 Three Dimensional Electromagnetic Boundary Value Problem (Ting and Hohmann’s Model)
9.9 Thin sheet Modelling9.9.1 Introduction
9.9.2 Ranganayaki and Madden’s Model(1980)
9.9.3 Remarks
9.10 Hybrids
9.10.1 Introduction
9;10.2 Different Combinations
9.10.3 Hybrid Formulation (Lee,Pridmore and Morrisons Model)
9.11 ReferencesChapter 10. Inversion of Geophysical Data
10.1 Introduction
10.2 Convergence of an Inverse Problem
10.3 Nonuniqueness and Compact Zone
10.4 Well Posed and Ill posed problems10.5 Overdetertermined and Underdetermined Problems
10.6 Linear Dependence and Independence of vectors
10.7 Inner Product space
10.8 Hilnert Space10.9 Tikhnov’s Regularisation Philosophy
10.9.1 Theoretical Concept in Abstract Spaces
10.9.2 Definition of the regularizing operator
10.10 Basis Function10.11 Subspace
10.12 Krylov Subspace
10. 13 Method of Steepest Decent
10. 14 Conjugate Gradient Method10.14.1 Introduction
10.14.2 Important Steps in Conjugate Gradient Method
10.14.3 Conjugate Gradient Method as a direct approach
10.14.4 Conjugate Gradient Method as an iterative approach
10.14.5 Computation of alpha and beta.10.15 Lagrange Multiplier
10.16 Stochastic Inversion
10.16.1 Introduction
10.16.2 Conjunction of the state of information
10.16.3 Maximum Likelyhood Point10.16.4 Field Example of one Stochastic Inversion Approach
10.17 Frechet Derivative
10.17.1 Parker’s Definition
10.17.2 Zhdanov’s Definition10.18 Bachus Gilbert Inversion
10.18.1 Introduction
10.18.2 Bachus- Gilbrert Formulation
10.18.3 Bachus Gilbert Frechet Kernel.
10.18.4 Field Example10.19 Occam Inversion
10.19.1 Occam Inversion Formulation
10.20 Two Dimensional Occam Inversion
10.20.1 Introduction
10.20.2 2D Occam Inversion Formulation10. 21 Joint Inversion
10.21.1 Introduction
10.21.2 Joint Inversion of Seismic Refraction and Magnetotelluric data
10.21.3 Joint Inversion of Resistivity and Induced Polarisation Sounding Data
10.26 ReferencesSubject Index




