Time-Domain Electromagnetic Data Interpretation using Moving-Loop Configurations for Sheet-Like Base Metal Ore Deposits in Resistive Hosts

2005 ◽  
Vol 36 (4) ◽  
pp. 374-380 ◽  
Author(s):  
Circé Malo-Lalande ◽  
Michel C. Chouteau ◽  
Denis Marcotte ◽  
Marc Boivin
Keyword(s):  
Base Metal ◽  
Time Domain ◽  
Data Interpretation ◽  
Ore Deposits ◽  
Electromagnetic Data ◽  
Time Domain Electromagnetic

scholarly journals Noise reduction of time domain electromagnetic data: Application of a combined wavelet denoising method

Radio Science ◽  
2016 ◽  
Vol 51 (6) ◽  
pp. 680-689 ◽  
Author(s):  
Yanju Ji ◽  
Dongsheng Li ◽  
Guiyang Yuan ◽  
Jun Lin ◽  
Shangyu Du ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Time Domain ◽  
Wavelet Denoising ◽  
Denoising Method ◽  
Electromagnetic Data ◽  
Data Application ◽  
Time Domain Electromagnetic

Noise removal for airborne time domain electromagnetic data based on minimum noise fraction

2018 ◽  
Vol 49 (2) ◽  
pp. 127-133
Author(s):  
Yue Li ◽  
Yang Meng ◽  
Yiming Lu ◽  
Lingqun Wang ◽  
Bin Xie ◽  
...  
Keyword(s):  
Time Domain ◽  
Noise Removal ◽  
Electromagnetic Data ◽  
Minimum Noise Fraction ◽  
Time Domain Electromagnetic ◽  
Noise Fraction ◽  
Minimum Noise

Three dimensional inversion of multisource time domain electromagnetic data

Geophysics ◽  
2013 ◽  
Vol 78 (1) ◽  
pp. E47-E57 ◽  
Author(s):  
Douglas W. Oldenburg ◽  
Eldad Haber ◽  
Roman Shekhtman
Keyword(s):  
Time Domain ◽  
Maxwell’S Equations ◽  
High Performance ◽  
Maxwell's Equations ◽  
Sulfide Deposit ◽  
3D Inversion ◽  
Data Set ◽  
Electromagnetic Data ◽  
Backward Euler ◽  
Time Domain Electromagnetic

We present a 3D inversion methodology for multisource time-domain electromagnetic data. The forward model consists of Maxwell’s equations in time where the permeability is fixed but electrical conductivity can be highly discontinuous. The goal of the inversion is to recover the conductivity-given measurements of the electric and/or magnetic fields. The availability of matrix-factorization software and high-performance computing has allowed us to solve the 3D time domain EM problem using direct solvers. This is particularly advantageous when data from many transmitters and over many decades are available. We first formulate Maxwell’s equations in terms of the magnetic field, [Formula: see text]. The problem is then discretized using a finite volume technique in space and backward Euler in time. The forward operator is symmetric positive definite and a Cholesky decomposition can be performed with the work distributed over an array of processors. The forward modeling is quickly carried out using the factored operator. Time savings are considerable and they make 3D inversion of large ground or airborne data sets feasible. This is illustrated by using synthetic examples and by inverting a multisource UTEM field data set acquired at San Nicolás, which is a massive sulfide deposit in Mexico.

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