Calculating Time-Domain Controlled Source Electromagnetic Signals with MARE2DEM

Author(s):  
A. Haroon ◽  
S. Hölz ◽  
B. Weymer ◽  
B. Tezkan ◽  
M. Jegen
Geophysics ◽  
2021 ◽  
pp. 1-43
Author(s):  
Qingtao Sun ◽  
Runren Zhang ◽  
Yunyun Hu

To facilitate the modeling of time-domain controlled-source electromagnetic survey, we propose an efficient finite-element method with weighted Laguerre polynomials, which shows a much lower computational complexity than conventional time integration methods. The proposed method allows sampling the field at arbitrary time steps and also its accuracy is determined by the number of polynomials, instead of the time sampling interval. Analysis is given regarding the optimization of the polynomial number to be used and the criterion of selecting the time scale factor. Two numerical examples in marine and land survey environments are included to demonstrate the superiority of the proposed method over the existing backward Euler time integration method. The proposed method is expected to facilitate the modeling of transient electromagnetic surveys in the geophysical regime.


Geophysics ◽  
1992 ◽  
Vol 57 (3) ◽  
pp. 466-469 ◽  
Author(s):  
Kim Bak Olsen ◽  
Gerald W. Hohmann

A typical time‐domain electromagnetic (TDEM) survey is carried out by recording the transient response of the target area due to currents induced by the abrupt turnoff of the current in a large ungrounded loop at the surface. The depth of exploration is controlled by the strength of the transient signal at late times, when the natural fields become comparable in amplitude to the controlled‐source response (Spies, 1989). Nichols et al. (1988) claim that it should be possible to reduce the natural magnetic fields in controlled source electromagnetic data by 40–60 dB because the fields are coherent over large distances, thus reducing the needed transmitter power and averaging time dramatically. This study tests a method using adaptive filtering of remotely measured magnetic fields to improve the signal‐to‐noise ratio for the late‐time response.


2012 ◽  
Vol 241-244 ◽  
pp. 214-217
Author(s):  
Zhi Min Tong ◽  
Li Hong Rong ◽  
Cao Jun Huang

To measure the grain moisture content with time-domain transmission technology (TDT), electromagnetic wave propagation characteristics was studied to find the relationship of electromagnetic wave propagation and the dielectric parameters of grain. Basic structure of measurement sensor was designed to be coaxial transmission line based on TDT theories. The main parameters of the sensor were calculated. The measurement circuit was designed based on processing theories of high frequency electromagnetic signals. Grain samples with different moisture contents were measured by both TDT system and the standard drying method. The results show that TDT system with Quadratic curve measurement model is of desired measurement accuracy.


2020 ◽  
Vol 68 (9) ◽  
pp. 2825-2844
Author(s):  
Amir Haroon ◽  
Andrei Swidinsky ◽  
Sebastian Hölz ◽  
Marion Jegen ◽  
Bülent Tezkan

2015 ◽  
Vol 63 (6) ◽  
pp. 1334-1354 ◽  
Author(s):  
Davood Moghadas ◽  
Martin Engels ◽  
Katrin Schwalenberg

Geophysics ◽  
2013 ◽  
Vol 78 (4) ◽  
pp. E161-E171 ◽  
Author(s):  
M. Zaslavsky ◽  
V. Druskin ◽  
A. Abubakar ◽  
T. Habashy ◽  
V. Simoncini

Transient data controlled-source electromagnetic measurements are usually interpreted via extracting few frequencies and solving the corresponding inverse frequency-domain problem. Coarse frequency sampling may result in loss of information and affect the quality of interpretation; however, refined sampling increases computational cost. Fitting data directly in the time domain has similar drawbacks, i.e., its large computational cost, in particular, when the Gauss-Newton (GN) algorithm is used for the misfit minimization. That cost is mainly comprised of the multiple solutions of the forward problem and linear algebraic operations using the Jacobian matrix for calculating the GN step. For large-scale 2.5D and 3D problems with multiple sources and receivers, the corresponding cost grows enormously for inversion algorithms using conventional finite-difference time-domain (FDTD) algorithms. A fast 3D forward solver based on the rational Krylov subspace (RKS) reduction algorithm using an optimal subspace selection was proposed earlier to partially mitigate this problem. We applied the same approach to reduce the size of the time-domain Jacobian matrix. The reduced-order model (ROM) is obtained by projecting a discretized large-scale Maxwell system onto an RKS with optimized poles. The RKS expansion replaces the time discretization for forward and inverse problems; however, for the same or better accuracy, its subspace dimension is much smaller than the number of time steps of the conventional FDTD. The crucial new development of this work is the space-time data compression of the ROM forward operator and decomposition of the ROM’s time-domain Jacobian matrix via chain rule, as a product of time- and space-dependent terms, thus effectively decoupling the discretizations in the time and parameter spaces. The developed technique can be equivalently applied to finely sampled frequency-domain data. We tested our approach using synthetic 2.5D examples of hydrocarbon reservoirs in the marine environment.


2021 ◽  
Author(s):  
Danusa Souza ◽  
Victor Souza ◽  
Marcos Silva

<div>Modeling of the Vertical-Vertical Controled Source Electromagtic Method (VVCSEM) on COMSOL Multiphysics. The VVCSEM method is, strictly speaking, an MCSEM (Marine Controlled Source ElectroMagnetic) that uses a vertical electric dipole as source, vertically oriented receivers, and time domain acquisition mode. Its main application is reservoir monitoring, reducing ambiguities encountered by conventional seismic and minimizing exploration risks in fields with complex geology. The present study shows the results of three-dimensional (3D) VVCSEM modeling built in COMSOL Multiphysics, aiming to analyze the electromagnetic field responses in different models and configurations. The VVCSEM proved to be efficient in detecting the proposed resistive anomalies, as expected and described in the literature.</div>


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