3D Airborne EM Forward Modeling Based on Time-Domain Spectral Element Method

نویسندگان

چکیده

Airborne electromagnetic (AEM) method uses aircraft as a carrier to tow EM instruments for geophysical survey. Because of its huge amount data, the traditional AEM data inversions take one-dimensional (1D) models. However, underground earth is very complicated, based on 1D models can frequently deliver wrong results, so that modeling and inversion three-dimensional (3D) are more practical. In order obtain precise electrical structures, it important have highly effective efficient 3D forward algorithm basis inversions. this paper, we use time-domain spectral element (SETD) Gauss-Lobatto-Chebyshev (GLC) polynomials develop responses. The combines flexibility finite-element in model discretization high accuracy method. Starting from Maxwell's equations time-domain, derive vector Helmholtz equation secondary electric field. We high-order GLC interpolation functions perform expansion field Galerkin weighted residual backward Euler scheme do space- time-discretization controlling equations. After integrating all elements into large linear system, solve by multifrontal massively parallel solver (MUMPS) direct calculate magnetic responses Faraday's law. By comparing with semi-analytical solutions layered model, validate our SETD analyze influence mesh size modeling. numerical experiments typical show applying achieve either refining or increasing functions.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Time-Domain Finite Element Modeling of 3D Integrated Optical Devices

Introduction As integrated optical devices become more sophisticated, so does the experimentation and analysis required to design them. By augmenting conventional experiments with rigorous computer modeling we can lower costs, shorten schedules, and provide faster, more accurate predictions. Discrete modeling codes using finite differences or finite elements are the most general, albeit expensi...

متن کامل

Antenna Modeling Using 3D Hybrid Finite Element - Finite Difference Time Domain Method

3D Hybrid Finite Element Finite Difference Time Domain (FE/FDTD) Method is developed and applied to the numerical modeling of antennas. The antenna geometry is modeled using tetrahedral finite element mesh. Pyramidal elements are introduced in the transition from unstructured tetrahedral elements to structured hexahedral elements. The finite element formulation incorporates the excitation of an...

متن کامل

A Hybrid Spectral-Element / Finite-Element Time-Domain Method for Multiscale Electromagnetic Simulations

Electrical and Computer Engineering) A Hybrid Spectral-Element / Finite-Element Time-Domain Method for Multiscale Electromagnetic Simulations by Jiefu Chen Department of Electrical and Computer Engineering Duke University

متن کامل

Advances in electromagnetic modeling based on integral equation methods and their application to 3D inversion of time-domain airborne data

Thirty-five years ago, Gerald W. Hohmann, late Professor of Geophysics at The University of Utah, published a seminal paper on 3D electromagnetic (EM) modeling using the integral equation (IE) method. This achievement subsequently inspired a considerable body of research in 3D EM modeling and inversion. Over the decades, the IE method evolved from the academic intrigue of EM fields scattering f...

متن کامل

Notes on modeling earthquake dynamics with the spectral element method

We provide a detailed presentation and discussion of a numerical modeling technique for earthquake dynamics based on the spectral element method. The problem of dynamic frictional contact along slip interfaces in elastic domains is formulated in a hybrid variational form, with Lagrange multipliers associated to the fault tractions. The problem is discretized in space by a spectral element metho...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Remote Sensing

سال: 2021

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs13040601