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Exploration Geophysics Exploration Geophysics Society
Journal of the Australian Society of Exploration Geophysicists
RESEARCH ARTICLE

Sensitivity cross-sections in airborne electromagnetic methods using discrete conductors

Richard S. Smith 1 3 Roman Wasylechko 2
+ Author Affiliations
- Author Affiliations

1 Department of Earth Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario, Canada, P3E 2C6.

2 Abitibi Geophysics Inc., 5482 West River Drive, Ottawa, Ontario, Canada, K4M 1G8.

3 Corresponding author. Email: RSSmith@laurentian.ca

Exploration Geophysics 43(2) 95-103 https://doi.org/10.1071/EG11048
Submitted: 9 November 2011  Accepted: 6 March 2012   Published: 13 April 2012

Abstract

A versatile discrete conductor model is used to generate the maximum signal-to-noise ratio along an airborne electromagnetic (AEM) profile. By varying the position of the conductor below and to the side of the airborne traverse, a sensitivity cross-section can be generated that shows the volume of material that influences the AEM response. This type of section accounts for both the coupling of the transmitter with the model and the coupling of the induced current flow with the receiver. Some previous definitions of ‘volumes of influence’ sometimes called ‘footprints’ do not take into account the coupling of the primary field to the target and the secondary field to the receiver. The versatile discrete conductor model can also account for target strike (variable orientation of the current flow) by considering only specific components or orientations of the primary field at the conductor. For a vertical dipole transmitter, the vertical or z-component receiver is generally better for detecting targets at greater depth and the lateral detection range is maximum for the transverse or y component. The in-line or x component is best for sensing conductors where the currents are constrained to flow in a vertical plane perpendicular to the flight direction of the AEM system. The sensitivity cross-sections can also be used for survey design: for example, in order to ensure effective exploration down to 200 m the HeliGEOTEM system must fly with a flight line spacing of 210 m, whereas the more powerful MEGATEM system can achieve equivalent depth penetration with a 300 m line spacing. The discrete conductor model could also be used to estimate the ‘volume of influence’ in ‘moving footprint’ 3D inversion schemes.

Key words: depth, footprint, line spacing, volume, width.


References

Beamish, D., 2003, Airborne EM footprints: Geophysical Prospecting, 51, 49–60
Airborne EM footprints:Crossref | GoogleScholarGoogle Scholar |

Beamish, D., 2004, Airborne EM skin depths: Geophysical Prospecting, 52, 439–449
Airborne EM skin depths:Crossref | GoogleScholarGoogle Scholar |

Cox, L. H., Wilson, G. A., and Zhdanov, M. S., 2010, 3D inversion of airborne electromagnetic data using a moving footprint: Exploration Geophysics, 41, 250–259
3D inversion of airborne electromagnetic data using a moving footprint:Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhsFyjt7jN&md5=9c4234d3af68e60d20e77115f3525152CAS |

Kovacs, A., Holladay, J. S., and Bergeron, C. J., 1995, The footprint/altitude ratio for helicopter electromagnetic sounding of sea-ice thickness: comparison of theoretical and field estimates: Geophysics, 60, 374–380
The footprint/altitude ratio for helicopter electromagnetic sounding of sea-ice thickness: comparison of theoretical and field estimates:Crossref | GoogleScholarGoogle Scholar |

Liu, G., and Becker, A., 1990, Two-dimensional mapping of sea-ice keels with airborne electromagnetic: Geophysics, 55, 239–248
Two-dimensional mapping of sea-ice keels with airborne electromagnetic:Crossref | GoogleScholarGoogle Scholar |

Reid, J. E., and Macnae, J. C., 1999, Doubling the effective skin depth with a local source: Geophysics, 64, 732–738
Doubling the effective skin depth with a local source:Crossref | GoogleScholarGoogle Scholar |

Reid, J. E., and Vrbancich, J., 2004, A comparison of the inductive-limit footprints of airborne electromagnetic configurations: Geophysics, 69, 1229–1239
A comparison of the inductive-limit footprints of airborne electromagnetic configurations:Crossref | GoogleScholarGoogle Scholar |

Reid, J. E., Pfaffling, A., and Vrbancich, J., 2006, Airborne electromagnetic footprints in 1D earths: Geophysics, 71, G63–G72
Airborne electromagnetic footprints in 1D earths:Crossref | GoogleScholarGoogle Scholar |

Smith, R. S., and Annan, A. P., 2000, Using an induction coil sensor to indirectly measure the B-field response in the bandwidth of the transient electromagnetic method: Geophysics, 65, 1489–1494
Using an induction coil sensor to indirectly measure the B-field response in the bandwidth of the transient electromagnetic method:Crossref | GoogleScholarGoogle Scholar |

Smith, R. D., Fountain, D., and Allard, M., 2003, The MEGATEM fixed-wing transient EM system applied to mineral exploration: a discovery case history: First Break, 21, 73–77

Smith, R. S., and Lee, T. J., 2001, The impulse-response moments of a sphere in a uniform field, a versatile and efficient electromagnetic model: Exploration Geophysics, 32, 113–118
The impulse-response moments of a sphere in a uniform field, a versatile and efficient electromagnetic model:Crossref | GoogleScholarGoogle Scholar |

Smith, R. S., Hodges, G., and Lemieux, J., 2009, Case histories illustrating the characteristics of the HeliGEOTEM system: Exploration Geophysics, 40, 246–256
Case histories illustrating the characteristics of the HeliGEOTEM system:Crossref | GoogleScholarGoogle Scholar |

Tølbøll, R. J., and Christensen, N. B., 2007, Sensitivity functions of frequency-domain magnetic dipole-dipole systems: Geophysics, 72, F45–F56
Sensitivity functions of frequency-domain magnetic dipole-dipole systems:Crossref | GoogleScholarGoogle Scholar |

Wolfgram, P., Sattel, D., and Christensen, N. B., 2003, Approximate 2D inversion of AEM data: Exploration Geophysics, 34, 29–33
Approximate 2D inversion of AEM data:Crossref | GoogleScholarGoogle Scholar |