Doubling the spectrum of time-domain induced polarization by harmonic de-noising, drift correction, spike removal, tapered gating, and data uncertainty estimation

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift


The extraction of spectral information in the inversion process of time-domain (TD) induced polarization (IP) data is changing the use of the TDIP method. Data interpretation is evolving from a qualitative description of the subsurface, able only to discriminate the presence of contrasts in chargeability parameters, towards a quantitative analysis of the investigated media, which allows for detailed soil- and rock-type characterization. Two major limitations restrict the extraction of the spectral information of TDIP data in the field: i) the difficulty of acquiring reliable early-time measurements, in the millisecond range and ii) the self-potential drift in the measured potentials distorting the shape of the late time IP responses, in the second range. Recent developments in TDIP acquisition equipment have given access to full waveform recordings of measured potentials and transmitted current, opening a breakthrough for data processing. For measuring at early times, we developed a new method for removing the significant noise from powerlines contained in the data through a model-based approach, localizing the fundamental frequency of the powerline signal in the full-waveform IP recordings. By this, we cancel both the fundamental signal and its harmonics. Furthermore, a novel and efficient processing scheme for identifying and removing spikes TDIP data is developed. The noise cancellation and the de-spiking allow the use of earlier and narrower gates, down to a few milliseconds after the current turn-off. Furthermore, tapered windows are used in the final gating of IP data, allowing the use of wider and overlapping gates for higher noise suppression without signal distortion. For measuring at late times, we have developed an algorithm for removal of the self-potential drift. Usually constant or linear drift-removal algorithms are used, but these algorithms fail in removing the background potentials due to the polarization of the electrodes previously used for current injection. We developed a drift-removal scheme that model the polarization effect and efficiently allows for preserving the shape of the IP responses at late times. Uncertainty estimates are essential in the inversion of IP data. Therefore, in the final step of the data processing, we estimate the data standard deviation based on the data variability within the IP gates and the misfit of the background drift removal Overall, the removal of harmonic noise, spikes, self-potential drift, tapered windowing and the uncertainty estimation allows for doubling the usable range of TDIP data to almost four decades in time (corresponding to four responses in frequency), and will significantly advance the science and the applicability of the IP method.


Enheter & grupper
Externa organisationer
  • Aarhus University

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Geofysik


Sidor (från-till)774-784
Antal sidor11
TidskriftGeophysical Journal International
Utgåva nummer2
Tidigt onlinedatum2016 aug 20
StatusPublished - 2016 nov
Peer review utfördJa


Ingen tillgänglig data

Relaterad forskningsoutput

Per-Ivar Olsson, 2018 nov 5, Department of Biomedical Engineering, Lund university. 167 s.

Forskningsoutput: AvhandlingDoktorsavhandling (sammanläggning)

Matteo Rossi, Per Ivar Olsson, Sara Johanson, Fiandaca, G., Bergdahl, D. P. & Torleif Dahlin, 2017 dec 1, I : Near Surface Geophysics. 15, 6, s. 657-667 11 s.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Per-Ivar Olsson, Peter Jonsson, Sara Johansson & Leif Johansson, 2017 sep 3, Near Surface Geoscience 2017 - 23rd European Meeting of Environmental and Engineering Geophysics. European Association of Geoscientists and Engineers

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Visa alla (5)

Related projects

Torleif Dahlin, Per-Ivar Olsson, Sara Johansson, Matteo Rossi, Charlotte Sparrenbom, Håkan Rosqvist, Esben Auken, Gianluca Fiandaca, Mats Svensson, David Hagerberg, Per Hedblom & Mehrdad Bastani


Projekt: Forskning

Visa alla (1)