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Time-domain induced polarization – an analysis of Cole–Cole parameter resolution and correlation using Markov Chain Monte Carlo inversion

Authors :
Anders Vest Christiansen
Esben Auken
Gianluca Fiandaca
Line Meldgaard Madsen
Source :
Madsen, L M, Fiandaca, G, Auken, E & Christiansen, A V 2017, ' Time-domain induced polarization-an analysis of Cole-Cole parameter resolution and correlation using Markov Chain Monte Carlo inversion ', Geophysical Journal International, vol. 211, no. 3, pp. 1341-1353 . https://doi.org/10.1093/gji/ggx355, Aarhus University
Publication Year :
2017
Publisher :
Oxford University Press (OUP), 2017.

Abstract

The application of time-domain induced polarization (TDIP) is increasing with advances in acquisition techniques, data processing and spectral inversion schemes. An inversion of TDIP data for the spectral Cole-Cole parameters is a non-linear problem, but by applying a 1-D Markov Chain Monte Carlo (MCMC) inversion algorithm, a full non-linear uncertainty analysis of the parameters and the parameter correlations can be accessed. This is essential to understand to what degree the spectral Cole-Cole parameters can be resolved from TDIP data. MCMC inversions of synthetic TDIP data, which show bell-shaped probability distributions with a single maximum, show that the Cole-Cole parameters can be resolved from TDIP data if an acquisition range above two decades in time is applied. Linear correlations between the Cole-Cole parameters are observed and by decreasing the acquisitions ranges, the correlations increase and become non-linear. It is further investigated how waveform and parameter values influence the resolution of the Cole-Cole parameters. A limiting factor is the value of the frequency exponent, C. As C decreases, the resolution of all the Cole-Cole parameters decreases and the results become increasingly non-linear. While the values of the time constant, tau, must be in the acquisition range to resolve the parameters well, the choice between a 50 per cent and a 100 per cent duty cycle for the current injection does not have an influence on the parameter resolution. The limits of resolution and linearity are also studied in a comparison between the MCMC and a linearized gradient-based inversion approach. The two methods are consistent for resolved models, but the linearized approach tends to underestimate the uncertainties for poorly resolved parameters due to the corresponding non-linear features. Finally, an MCMC inversion of 1-D field data verifies that spectral Cole-Cole parameters can also be resolved from TD field measurements.

Details

ISSN :
1365246X and 0956540X
Volume :
211
Database :
OpenAIRE
Journal :
Geophysical Journal International
Accession number :
edsair.doi.dedup.....f89c9fa917a5844167b1eb81050a8406
Full Text :
https://doi.org/10.1093/gji/ggx355