Abstract

The signal level and shape of induced polarization responses are significantly affected by the current pulse duration and waveform. If not accounted for, this data dependency on the current will propagate trough the inversion to results rendering unquantifiable subsurface models. While this problem has been addressed in full-response induced polarization modelling, questions remain as to how to accurately retrieve quantitative induced polarization inversion models from the types of apparent integral chargeability data often used in data interpretation. Although several methodologies have been proposed for handling and inverting apparent resistivity and integral chargeability, these cannot compensate for the data dependency on the current waveform and pulse duration. This paper presents a novel inversion method for such data. The method considers current waveform and receiver transfer functions for retrieving quantitative IP models unbiased by transmitter waveform. The method uses the constant phase angle model, expressed in terms of the medium resistivity and phase. Specifically, four field data sets for the same profile but with different 100 per cent duty cycle pulse durations (4, 2, 1 and 0.5 s) serve as examples of data sets giving models dependant on current waveform when inverted with standard approaches. The novel inversion method presented here gives quantifiable models independent on the current waveform and pulse duration. These results resemble models retrieved with existing, full-response induced polarization inversions. The results still contain some degree of uncertainty in relation to underlying assumptions and parametrizations. Managing this source of uncertainty is considered in terms of full-response induced polarization inversions with constant phase angle and maximum phase angle inversions. (Less)

Highlights

  • Previous studies have pointed out various consequences of varying current pulse duration in time domain induced polarization (IP) measurements

  • Different IP inversion models are retrieved for different current waveforms and the retrieved IP models do not represent material properties of the subsurface

  • To retrieve subsurface IP material properties quantitatively, we developed the integral CPA (iCPA) inversion scheme, which models apparent integral chargeability data based on the constant phase angle (CPA) parametrization of the complex resistivity, expressed in terms of the medium resistivity and phase

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Summary

INTRODUCTION

Previous studies have pointed out various consequences of varying current pulse duration in time domain induced polarization (IP) measurements. Quantitative inversions of full-response IP data (with multiple gates per IP response) based on Cole–Cole parametrization have been previously retrieved using the fourth methodology listed above (Fiandaca et al 2012, 2013), but such highly parametrized models (four model parameters) are not suitable for single IP datum. This is the case for apparent integral chargeability data. This paper presents a novel methodology for inverting apparent resistivity and apparent integral chargeability IP data based on integral CPA (iCPA) modelling This latter inversion approach reduces the effect of current waveform and pulse duration on inversion models. This remaining parametrization uncertainty is further discussed based on full IP response CPA and maximum phase angle (MPA, Fiandaca et al 2018) modelling for the same data sets

Induced polarization field data
Standard inversion of integral chargeability data
Inversion of full response IP data
Novel inversion of integral chargeability data
Inversion model iCPA
CONCLUSION
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