Detecting metal objects in magnetic environments using a broadband electromagnetic method

Geophysics ◽  
2003 ◽  
Vol 68 (6) ◽  
pp. 1877-1887 ◽  
Author(s):  
Haoping Huang ◽  
I. J. Won

We analyze the use of the broadband electromagnetic (EM) method in detecting metallic objects, such as unexploded ordnance (UXO), buried in magnetic environments. Magnetic rocks close to the sensor often contribute a larger in‐phase response than does the target at depth, making target detection and identification difficult. On the other hand, magnetic rocks contribute little quadrature response, which gives rise to the concept of using quadrature response and apparent conductivity to detect metallic objects in highly magnetic environments. To test this concept, we employed numeric models, physical experiments, and field studies. A layered half‐space simulated conductive overburden and magnetic basement. Sphere models are used for isolated magnetic rocks and metal targets. The responses of the layered earth, magnetic rocks, and metal objects were added to obtain the approximate total response. We then inverted the EM data into apparent magnetic permeability and conductivity. The EM response at the lowest frequency was used initially to estimate apparent magnetic permeability, which let us calculate the apparent conductivity using the EM data at all frequencies. The simulations and field examples show that broadband EM sensors can detect small metal targets in magnetic environments, mainly by the quadrature component of the responses and the apparent conductivity.

Geophysics ◽  
2000 ◽  
Vol 65 (2) ◽  
pp. 502-511 ◽  
Author(s):  
Haoping Huang ◽  
Douglas C. Fraser

The apparent resistivity technique using half‐space models has been employed in helicopter‐borne resistivity mapping for twenty years. These resistivity algorithms yield the apparent resistivity from the measured in‐phase and quadrature response arising from the flow of electrical conduction currents for a given frequency. However, these algorithms, which assume free‐space magnetic permeability, do not yield a reliable value for the apparent resistivity in highly magnetic areas. This is because magnetic polarization also occurs, which modifies the electromagnetic (EM) response, causing the computed resistivity to be erroneously high. Conversely, the susceptibility of a magnetic half‐space can be computed from the measured EM response, assuming an absence of conduction currents. However, the presence of conduction currents will cause the computed susceptibility to be erroneously low. New methods for computing the apparent resistivity and apparent magnetic permeability have been developed for the magnetic conductive half‐space. The in‐phase and quadrature responses at the lowest frequency are first used to estimate the apparent magnetic permeability. The lowest frequency should be used to calculate the permeability because this minimizes the contribution to the measured signal from conduction currents. Knowing the apparent magnetic permeability then allows the apparent resistivity to be computed for all frequencies. The resistivity can be computed using different methods. Because the EM response of magnetic permeability is much greater for the in‐phase component than for the quadrature component, it may be better in highly magnetic environments to derive the resistivity using the quadrature component at two frequencies (the quad‐quad algorithm) rather than using the in‐phase and quadrature response at a single frequency (the in‐phase‐quad algorithm). However, the in‐phase‐quad algorithm has the advantage of dynamic range, and it gives credible resistivity results when the apparent permeability has been obtained correctly.


Geophysics ◽  
2009 ◽  
Vol 74 (1) ◽  
pp. B1-B8 ◽  
Author(s):  
Erika Gasperikova ◽  
J. Torquil Smith ◽  
H. Frank Morrison ◽  
Alex Becker ◽  
Karl Kappler

Electromagnetic induction data parameterized in time-dependent object intrinsic polarizabilities can discriminate unexploded ordnance (UXO) from false targets (scrap metal). Data from a cart-mounted system designed to discriminate UXO of [Formula: see text] in diameter are used. Discriminating UXO from irregular scrap metal is based on the principal dipole polarizabilities of a target. Nearly intact UXO displays a single major polarizability coincident with the long axis of the object and two equal, smaller transverse polarizabilities, whereas metal scraps have distinct polarizability signatures that rarely mimic those of elongated symmetric bodies. Based on a training data set of known targets, objects were identified by estimating the probability that an object is a single UXO. Our test survey took place on a military base where [Formula: see text] mortar shells and scrap metal were present. We detected and correctly discriminated all [Formula: see text] mortars, and in that process we added 7% and 17%, respectively, of dry holes (digging scrap) to the total number of excavations in two different survey modes. We also demonstrated a mode of operation that might be more cost effective than current practice.


Geophysics ◽  
2004 ◽  
Vol 69 (6) ◽  
pp. 1387-1393 ◽  
Author(s):  
Haoping Huang ◽  
I. J. Won

Apparent conductivity computed from in‐phase and quadrature components has been used successfully to detect buried metallic objects such as unexploded ordnance (UXO). The conductivity computation uses magnetic susceptibility calculated from the lowest‐frequency in‐phase data obtained at a specific sensor height. Over magnetic soils, however, the in‐phase component may fluctuate with varying sensor heights. Uncertainties in sensor height, common with handheld or cart‐mounted sensors in rough terrain, can produce errors in the computed magnetic susceptibility, which, in turn, causes errors in apparent conductivity. To overcome these limitations, we have developed an algorithm to compute the quad–quad apparent conductivity from the quadrature components at two frequencies. Our results show that the quad–quad technique has several advantages for detecting metal targets in magnetic terrains: it is (1) insensitive to the magnetic polarization currents; (2) it is immune to sensor motion over magnetic soil; and (3) it is biased to metal objects and can detect small and/or deep metal targets. The first two properties suppress the noise caused by magnetic terrain and sensor motion and thus yield a quiet background. The last property emphasizes metal objects as sought anomalies over geologic variations.


Geophysics ◽  
1986 ◽  
Vol 51 (10) ◽  
pp. 1978-1991 ◽  
Author(s):  
J. X. Zhao ◽  
L. Rijo ◽  
S. H. Ward

Using a finite‐element algorithm which allows for subsurface current and potential electrodes in dc resistivity, we have analyzed the detection of a thin, 2-D, conductive inhomogeneity in the presence of several sources of geologic noise. The pole‐pole array with the current electrode fixed in one borehole and the potential electrode movable in adjacent boreholes is the main array of concern. The sources of noise are surface topography, buried topography, random geologic noise, quasi‐random geologic noise (nontarget inhomogeneities), layering, and a vertical contact. For several positions of a downhole source electrode, normalized apparent resistivities have been computed. These resistivities have been contoured in section view as appropriate to cross‐borehole investigations. For the models studied here, surface topography, buried topography, random and quasi‐random geologic noise do not obscure the anomaly due to the thin conductive inhomogeneity. In a vertically or horizontally layered earth, the anomaly due to the inhomogeneity is almost totally obscured. Normalization of the apparent resistivity by the variable apparent resistivity of a layered half‐space can help alleviate the problem. However, it may not be possible to apply such normalization in field studies. Other arrays such as the cross‐borehole dipole‐dipole array, with the dipoles moved simultaneously, may then be required.


2021 ◽  
pp. M58-2021-3
Author(s):  
Michael Church

AbstractAn experiment is a program of observations specially constructed to provide a critical test of theory or generalization about nature. It is designed to acquire firm evidence for or against the effect in question. Accordingly, it must be arranged to control all sources of variability contributing to the phenomena under examination save those it is intended to study. In the natural environment this is difficult to achieve. Consequently, classical geomorphology had no established tradition of experimentation. However, in the latter third of the 20th century, geomorphologists began to explore experimentation as a means to resolve questions that arise in the study of geomorphological processes. In the period 1976-84 an IGU commission on field experiments in geomorphology formally established an interest in the approach. Although few field studies before the turn of the century achieved experimental status, valuable experience was gained in laboratory experiments, scaled and unscaled, leading to present wide acceptance of experimentation as a means to approach questions about geomorphological processes.


Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1859
Author(s):  
Vyacheslav A. Trofimov ◽  
Nan-Nan Wang ◽  
Jing-Hui Qiu ◽  
Svetlana A. Varentsova

The appearance of the spurious absorption frequencies caused by the frequency conversion process at the broadband THz pulse propagation in a medium is theoretically and experimentally discussed. The spurious absorption frequencies appear due to both the frequency doubling and generation of waves with sum or difference frequency. Such generation might occur because of the nonlinear response of a medium or its non-instantaneous response. This phenomenon is confirmed by the results of a few physical experiments provided with the THz CW signals and broadband THz pulses that are transmitted through the ordinary or dangerous substances. A high correlation between the time-dependent spectral intensities for the basic frequency and generated frequencies is demonstrated while using the computer simulation results. This feature of the frequency conversion might be used for the detection and identification of a substance.


Geophysics ◽  
2003 ◽  
Vol 68 (6) ◽  
pp. 1870-1876 ◽  
Author(s):  
Hoaping Huang ◽  
I. J. Won

We present automated anomaly‐picking methods for detecting unexploded ordnance (UXO) from broadband electromagnetic (EM) data. Using data consisting of in‐phase and quadrature responses at multiple (typically 10) frequencies, a detector function attempts to detect all metal objects but to suppress false alarms caused by geology, variations in sensor height, and sensor motions in the earth's magnetic field. Promising detector functions considered here are (1) the sum of all quadrature responses, Qsum, (2) the sum of all differences among the in‐phase or quadrature components, Ispread or Qspread, (3) the sum of the Ispread and Qspreads, Tspread, (4) the weighted total apparent conductivity (TAC) from all frequencies, and (5) the apparent magnetic susceptibility (AMS) derived from the lowest frequency of a survey. These detector functions favor metallic objects and are relatively insensitive to geologic variations and motion‐induced noise, which are common with a handheld or cart‐mounted sensor in rough terrain. We discuss the properties of these detector functions, apply them to field data from two sites, and compare the results with limited ground truths. Based on the theoretic study and test on the real data, the total apparent conductivity is the best detector function for picking and classifying anomalies, which shows more distinct anomalies and quieter background than other detector functions.


Author(s):  
C.D. Humphrey ◽  
T.L. Cromeans ◽  
E.H. Cook ◽  
D.W. Bradley

There is a variety of methods available for the rapid detection and identification of viruses by electron microscopy as described in several reviews. The predominant techniques are classified as direct electron microscopy (DEM), immune electron microscopy (IEM), liquid phase immune electron microscopy (LPIEM) and solid phase immune electron microscopy (SPIEM). Each technique has inherent strengths and weaknesses. However, in recent years, the most progress for identifying viruses has been realized by the utilization of SPIEM.


2002 ◽  
Vol 17 (S2) ◽  
pp. S36
Author(s):  
Oleg O. Bilukha ◽  
M. Brennan ◽  
B. Woodruff
Keyword(s):  

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