Two-dimensional, regularised inversion of VLF data

Very low frequency electromagnetic (EM) methods using VLF transmitters have found many applications in subsurface geophysical investigations. Surface measurements involving both the vertical component of the magnetic field (VLF-EM or VLF-Z) and of the apparent resistivity (VLF-R) are increasingly common. Although extensive VLF data sets have been successfully used for mapping purposes, modelling and interpretation techniques which asess the third (i.e. depth) dimension appear limited. Given a profile of VLF-R measurements the main purpose of the present study is to demonstrate an automatic method for the construction of a resistivity cross-section. The technique used is one of a new generation of regularised inversion methods. These techniques attempt to overcome the problem of equivalence/non-uniqueness in EM sounding data by constructing the resistivity distribution with the minimum amount of structure that fits the data. VLF data represent a special case of plane-wave EM sounding in that they conform, in practice, to a single-frequency technique. This fact imposes a limitation in the amount of vertical resolution that we can expect using such data. In the case of two-dimensional modelling and inversion, resolution through the cross-section is a resultant attribute from both vertical and lateral resistivity gradients within the subsurface. In order to provide insight into the practical application of regularised inversion techniques to VLF data, both synthetic and field examples are considered. Both sets of examples are primarily concerned with VLF data applied to near-surface fault mapping where the main aim is to assess the location, dip and depth extent of conductive subsurface features.

[1]  J. T. Smith,et al.  Rapid inversion of two‐ and three‐dimensional magnetotelluric data , 1991 .

[2]  I. Müller,et al.  VLF GROUND SURVEYS, A POWERFUL TOOL FOR THE STUDY OF SHALLOW TWO‐DIMENSIONAL STRUCTURES* , 1983 .

[3]  D. Jackson Interpretation of Inaccurate, Insufficient and Inconsistent Data , 1972 .

[4]  S. Constable,et al.  Occam's inversion to generate smooth, two-dimensional models from magnetotelluric data , 1990 .

[5]  Philip E. Wannamaker,et al.  A stable finite element solution for two-dimensional magnetotelluric modelling , 1987 .

[6]  R. Parker,et al.  Occam's inversion; a practical algorithm for generating smooth models from electromagnetic sounding data , 1987 .

[7]  P. Jackson,et al.  DETECTION OF AN AIR‐FILLED DRAINAGE GALLERY BY THE VLF RESISTIVITY METHOD1 , 1991 .

[8]  C. M. Swift,et al.  The application of audio-frequency magnetotellurics (AMT) to mineral exploration , 1973 .

[9]  A. Tabbagh,et al.  VLF resistivity mapping and verticalization of the electric field , 1991 .

[10]  Kathryn A. Whaler,et al.  Numerical methods for establishing solutions to the inverse problem of electromagnetic induction , 1981 .

[11]  J. T. Smith,et al.  Magnetotelluric inversion for minimum structure , 1988 .

[12]  J. D. Mcneill Use of Electromagnetic Methods for Groundwater Studies , 1990 .

[13]  Peter Jackson,et al.  Methods for the recognition of geological weakness zones and other surface discontinuities caused by undergroundmining in Carboniferous terrain , 1995 .