Three-dimensional electromagnetics : proceedings of the second international symposium / edited by Michael S. Zhdanov and Philip E. Wannamaker.

Format:

Book

Conference/Event

Contributor:

Zhdanov, Michael S.

Wannamaker, P. E. (Philip E.)

Conference Name:

International Symposium on Three-Dimensional Electromagnetics (2nd : 1999 : Salt Lake City, Utah)

Series:

Methods in geochemistry and geophysics ; 35.

Methods in geochemistry and geophysics, 0076-6895 ; 35

Language:

English

Subjects (All):

Magnetic prospecting--Congresses.

Magnetic prospecting.

Physical Description:

1 online resource (305 p.)

Edition:

1st ed.

Place of Publication:

Amsterdam ; New York : Elsevier, 2002.

Language Note:

English

Summary:

""3-D modeling and inversion is a reality, and not an illusion."" This is the clear conclusion of the Second International Symposium on Three-Dimensional Electromagnetics held at the University of Utah in 1999. Containing papers submitted by 36 authors, this volume, by the sheer number of works, their diversity, and the truly international character of the efforts attests to the vigor with which the problems of the field are pursued today. The papers in this book are grouped in three parts: 3-D EM modeling; 3-D EM inversion; and 3-D EM in practice. They cover a wide range of to

Contents:

Front Cover; Three-Dimensional Electromagaetics; Copyright Page; CONTENTS; Preface; Part I: 3-D EM Modeling; CHAPTER 1. AN INTEGRAL EQUATION SOLUTION TO THE GEOPHYSICAL ELECTROMAGNETIC FORWARD-MODELLING PROBLEM; 1. Introduction; 2. The Integral Equation; 3. Numerical Solution - Galerkin Approach; 4. Edge Element Basis Vectors; 5. The Green's Functions - Part I; 6. Evaluation of the Integrals; 7. The Green's Functions - Part II; 8. Examples; 9. Computational Efficiency; 10. Conclusions; References; CHAPTER 2. COMPRESSION IN 3-D INTEGRAL EQUATION MODELING; 1. Introduction

2. Forward Modeling with 3-D Integral Equations3. Compression Matrix; 4. Compression in Three Dimensions; 5. Compression as Preconditioner to the Integral Equation; 6. The ILU Preconditioned Conjugate Gradient Method; 7. Modeling Examples; 8. Conclusions; References; CHAPTER 3. MODELLING ELECTROMAGNETIC FIELDS IN A 3D SPHERICAL EARTH USING A FAST INTEGRAL EQUATION APPROACH; 1. Introduction; 2. Governing Equations; 3. Solution Verification; 4. Concluding Remarks; Appendix A. Dyadic Green's functions of radially symmetric section; References

CHAPTER 4. MODELLING INDUCTION LOG RESPONSES IN 3D GEOMETRIES USING A FAST INTEGRAL EQUATION APPROACH1. Introduction; 2. Theory; 3. Computational Load; 4. Numerical Examples; 5. Concluding Remarks; References; CHAPTER 5. NONLINEAR APPROXIMATIONS FOR ELECTROMAGNETIC SCATTERING FROM ELECTRICAL AND MAGNETIC INHOMOGENEITIES; 1. Introduction; 2. Integral Equation Formulation; 3. Born Approximation; 4. Localized Approximation; 5. Quasi-Linear Approximation; 6. Quasi-Analytical Approximation; 7. Numerical Results and Validation; 8. Conclusions; Appendix A. Quasi-Analytical One-Dimensional Solution

ReferencesCHAPTER 6. THREE-DIMENSIONAL MODELING CONSIDERING THE TOPOGRAPHY FOR THE CASE OF THE TIME-DOMAIN ELECTROMAGNETIC METHOD; 1. Introduction; 2. Theory; 3. Numerical Checks; 4. Numerical Examples; 5. Conclusions; Appendix A. Correspondence of the Differential Coefficients between the Physical Domain and the Computational Domain; Appendix B. Derivation of the Finite-Difference Equations; References; CHAPTER 7. REDUCED-ORDER MODELING OF TRANSIENT DIFFUSIVE ELECTROMAGNETIC FIELDS; 1. Introduction; 2. Basic Equations; 3. Reduced-Order Models for the Diffusive Electromagnetic Field

4. Numerical Results5. Conclusions; Appendix A. The Lanczos Algorithm for Skew Symmetric Matrices; References; Part II: 3-D EM Inversion; CHAPTER 8. THREE-DIMENSIONAL MAGNETOTELLURIC MODELING AND INVERSION: APPLICATION TO SUB-SALT IMAGING; 1. Introduction; 2. The 3D MT Forward Problem; 3. The 3D MT Inverse Problem; 4. Marine MT Resolution Study; 5. Conclusions; Appendix A; References; CHAPTER 9. 2-D INVERSION OF FREQUENCY-DOMAIN EM DATA CAUSED BY A 3-D SOURCE; 1. Introduction; 2. Inversion Theory; 3. Synthetic Data Example; 4. Conclusions

Appendix A. Expectation of Objective Function in Constrained Linearized Least- Squares Method

Notes:

Includes bibliographical references and indexes.

ISBN:

1-281-02732-4

9786611027322

0-08-054299-9

OCLC:

181827507