Provided that the frequency of the GPR antenna is properly selected, detecting rock fractures is generally an achievable task because most of the investigated rocks are resistive. On the other hand, fractures can be generally envisaged as thin-beds embedded in a homogenous rock formation, thus yielding a complex reflection pattern caused by the reverberation of the GPR signal back and forth within the bed. As a result, dedicated approaches must be developed in order to extract quantitative information about fracture properties, i.e. thickness and permittivity of filling material, encoded in the thin-bed response. This work presents a comparison of two approaches for fracture characterization that we recently tested on synthetic, lab as well as field datasets. Although both approaches rely on amplitude and phase information in the frequency domain, their strategies significantly differ. The first one is based on common-offset data and involves deterministic deconvolution, while the second one processes common-midpoint reflections according to an amplitude-and-phase-variation-with-offset inversion. We test the performance of both approaches on a lab specimen scanned with high frequency antennas. Our aim is to identify shortcomings and advantages of the tested approaches, and to evaluate their outcomes according to the needs of possible field applications, in terms of acquisition time and accuracy.

Fracture characterization with GPR: A comparative study / Arosio, Diego; Deparis, J.; Zanzi, L.; Garambois, S.. - (2016), pp. 1-6. (Intervento presentato al convegno 16th International Conference on Ground Penetrating Radar (GPR) tenutosi a Hong Kong nel 13-16 June 2016) [10.1109/ICGPR.2016.7572679].

Fracture characterization with GPR: A comparative study

AROSIO, Diego;
2016

Abstract

Provided that the frequency of the GPR antenna is properly selected, detecting rock fractures is generally an achievable task because most of the investigated rocks are resistive. On the other hand, fractures can be generally envisaged as thin-beds embedded in a homogenous rock formation, thus yielding a complex reflection pattern caused by the reverberation of the GPR signal back and forth within the bed. As a result, dedicated approaches must be developed in order to extract quantitative information about fracture properties, i.e. thickness and permittivity of filling material, encoded in the thin-bed response. This work presents a comparison of two approaches for fracture characterization that we recently tested on synthetic, lab as well as field datasets. Although both approaches rely on amplitude and phase information in the frequency domain, their strategies significantly differ. The first one is based on common-offset data and involves deterministic deconvolution, while the second one processes common-midpoint reflections according to an amplitude-and-phase-variation-with-offset inversion. We test the performance of both approaches on a lab specimen scanned with high frequency antennas. Our aim is to identify shortcomings and advantages of the tested approaches, and to evaluate their outcomes according to the needs of possible field applications, in terms of acquisition time and accuracy.
2016
16th International Conference on Ground Penetrating Radar (GPR)
Hong Kong
13-16 June 2016
1
6
Arosio, Diego; Deparis, J.; Zanzi, L.; Garambois, S.
Fracture characterization with GPR: A comparative study / Arosio, Diego; Deparis, J.; Zanzi, L.; Garambois, S.. - (2016), pp. 1-6. (Intervento presentato al convegno 16th International Conference on Ground Penetrating Radar (GPR) tenutosi a Hong Kong nel 13-16 June 2016) [10.1109/ICGPR.2016.7572679].
File in questo prodotto:
File Dimensione Formato  
Arosio_etAl_GPR2016_Downloaded.pdf

Accesso riservato

Descrizione: Articolo principale
Tipologia: Versione pubblicata dall'editore
Dimensione 714.75 kB
Formato Adobe PDF
714.75 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1110972
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 11
  • ???jsp.display-item.citation.isi??? 6
social impact