Abstract

A combination of magnetotelluric (MT) measurements on the surface and in boreholes (without metal casing) can be expected to enhance resolution and reduce the ambiguity in models of electrical resistivity derived from MT surface measurements alone. In order to quantify potential improvement in inversion models and to aid design of electromagnetic (EM) borehole sensors, we considered two synthetic 2D models containing ore bodies down to 3000 m depth (the first with two dipping conductors in resistive crystalline host rock and the second with three mineralisation zones in a sedimentary succession exhibiting only moderate resistivity contrasts). We computed 2D inversion models from the forward responses based on combinations of surface impedance measurements and borehole measurements such as (1) skin-effect transfer functions relating horizontal magnetic fields at depth to those on the surface, (2) vertical magnetic transfer functions relating vertical magnetic fields at depth to horizontal magnetic fields on the surface and (3) vertical electric transfer functions relating vertical electric fields at depth to horizontal magnetic fields on the surface. Whereas skin-effect transfer functions are sensitive to the resistivity of the background medium and 2D anomalies, the vertical magnetic and electric field transfer functions have the disadvantage that they are comparatively insensitive to the resistivity of the layered background medium. This insensitivity introduces convergence problems in the inversion of data from structures with strong 2D resistivity contrasts. Hence, we adjusted the inversion approach to a three-step procedure, where (1) an initial inversion model is computed from surface impedance measurements, (2) this inversion model from surface impedances is used as the initial model for a joint inversion of surface impedances and skin-effect transfer functions and (3) the joint inversion model derived from the surface impedances and skin-effect transfer functions is used as the initial model for the inversion of the surface impedances, skin-effect transfer functions and vertical magnetic and electric transfer functions. For both synthetic examples, the inversion models resulting from surface and borehole measurements have higher similarity to the true models than models computed exclusively from surface measurements. However, the most prominent improvements were obtained for the first example, in which a deep small-sized ore body is more easily distinguished from a shallow main ore body penetrated by a borehole and the extent of the shadow zone (a conductive artefact) underneath the main conductor is strongly reduced. Formal model error and resolution analysis demonstrated that predominantly the skin-effect transfer functions improve model resolution at depth below the sensors and at distance of sim 300–1000 m laterally off a borehole, whereas the vertical electric and magnetic transfer functions improve resolution along the borehole and in its immediate vicinity. Furthermore, we studied the signal levels at depth and provided specifications of borehole magnetic and electric field sensors to be developed in a future project. Our results suggest that three-component SQUID and fluxgate magnetometers should be developed to facilitate borehole MT measurements at signal frequencies above and below 1 Hz, respectively.

Highlights

  • 1.1 MT Methods in Exploring Deep Ore DepositsIn magnetotelluric methods (Vozoff 1991; Berdichevsky and Dmitriev 2008; Chave and Jones 2012), naturally occurring electric and magnetic fields are used to sense the electrical conductivity structure of the Earth

  • In contrast to AMT borehole measurements, which presently are limited to the axial field components, the vertical gradient magnetometry (VGM) or skin-effect transfer functions presented by Jones (1983), Spitzer (1993) and Schmucker et al (2009) rely upon horizontal magnetic fields measured in boreholes at MT frequencies of less than 1 Hz using 3C fluxgate magnetometers

  • We have presented the first comprehensive 2D inversion studies of synthetic AMT and broadband magnetotelluric (BBMT) measurements on the surface and in boreholes based on two conceptual models of ore deposits

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Summary

MT Methods in Exploring Deep Ore Deposits

In magnetotelluric methods (Vozoff 1991; Berdichevsky and Dmitriev 2008; Chave and Jones 2012), naturally occurring electric and magnetic fields are used to sense the electrical conductivity structure of the Earth. In West and Ward’s (1988) synthetic 3D AMT forward modelling studies and in Sasaki et al.’s (1992) synthetic 2D AMT inverse modelling studies, these axial components were normalised by horizontal magnetic fields simulated at the Earth’s surface In vertical boreholes, such data have no sensitivity to the resistivity distribution of planar layered models (Ward and Hohmann 1987). In contrast to AMT borehole measurements, which presently are limited to the axial field components, the vertical gradient magnetometry (VGM) or skin-effect transfer functions presented by Jones (1983), Spitzer (1993) and Schmucker et al (2009) rely upon horizontal magnetic fields measured in boreholes at MT frequencies of less than 1 Hz using 3C fluxgate magnetometers (cf section). This marine VGM method was used with success and was later augmented with measurements of marine MT impedance tensors as measurements of marine electric fields became possible (Constable 2013)

Other Borehole Electromagnetic Methods
Borehole Sensors and Conditions
Outline
Theory
Nd kWd ðd
Model Analysis
Synthetic Example 1
Inversion of Surface AMT Data
Inversion of Surface and Borehole Zz0x AMT Data
Model Resolution and Error Analysis
Synthetic Example 2
Forward Responses and Signal Levels
Inversion of Surface AMT and BBMT Data
Inversion of Surface and Borehole AMT and BBMT Data
Findings
Discussion and Conclusions
Full Text
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