Title :
3D electromagnetic modeling using staggered finite differences
Author :
Newman, Gregory A. ; Alumbaugh, David L.
Author_Institution :
Sandia Nat. Labs., Albuquerque, NM, USA
Abstract :
The method of finite differences has been employed to solve a variety of 3D electromagnetic (EM) forward problems arising in geophysical applications. Specific sources considered include dipolar and magnetotelluric (MT) field excitation in the frequency domain. In the forward problem, the EM fields are simulated using a vector Helmholtz equation for the electric field, which are approximated using finite differences on a staggered grid. To obtain the fields, a complex-symmetric matrix system of equations is assembled and iteratively solved using the quasi-minimum method (QMR). Perfectly matched layer (PML) absorbing boundary conditions are included in the solution and are necessary to accurately simulate fields in propagation regime (frequencies >10 MHz). For frequencies approaching the static limit (<10 kHz), the solution also includes a static-divergence correction, which is necessary to accurately simulate MT source fields and can be used to accelerate convergence for the dipolar source problem
Keywords :
difference equations; electromagnetic induction; finite element analysis; geophysical prospecting; geophysical techniques; terrestrial electricity; 3D forward problem; EM induction; EM method; complex-symmetric matrix system of equations; dipolar method; dipolar source problem; electromagnetic modelling; geolelectric method; geophysical measurement technique; iterative solution; magnetotelluric method; perfectly matched layer absorbing boundary conditions; prospecting method; quasi-minimum method; staggered finite difference; static-divergence correction; terrestrial electricity; three dimensional model; vector Helmholtz equation; Boundary conditions; Electromagnetic modeling; Equations; Finite difference methods; Frequency; Geology; Magnetic domains; Perfectly matched layers; Permeability; Radar scattering;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.615301