Geologia USP. Série Científica (Dec 2012)

Ground penetrating radar digital imaging of a collapsed paleocaves

  • Francisco Pinheiro Lima-Filho,
  • David Lopes de Castro,
  • Thales Eduardo Silva de Jesus,
  • João Andrade dos Reis Júnior

DOI
https://doi.org/10.5327/Z1519-874X2012000300005
Journal volume & issue
Vol. 12, no. 3
pp. 71 – 84

Abstract

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In this paper we present the methodological procedures for digital imaging of collapsed paleocaves in carbonate tufas using ground penetrating radar (GPR). These carbonate deposits occur in the Quixer region, Cear State (NE Brazil), on the western border of the Potiguar Basin. Collapsed paleocaves are exposed along a state road, which were selected to this study. We chose a portion of the called Quixer outcrop for making a photomosaic and caring out a GPR test section to compare and parameterize the karst geometries on the geophysics line. The results were satisfactory and led to the adoption of criteria for the interpretation of others GPR sections acquired in the region of the Quixer outcrop. Two grids of GPR lines were acquired; the first one was wider and more spaced and guided the location of the second grid, denser and located in the southern part of the outcrop. The radargrams of the second grid reveal satisfactorily the collapsed paleocaves geometries. For each grid has been developed a digital solid model of the Quixer outcrop. The first model allows the recognition of the general distribution and location of collapsed paleocaves in tufa deposits, while the second more detailed digital model provides not only the 3D individualization of the major paleocaves, but also the estimation of their respective volumes. The digital solid models are presented here as a new frontier in the study of analog outcrops to reservoirs (for groundwater and hydrocarbon), in which the volumetric parameterization and characterization of geological bodies become essential for composing the databases, which together with petrophysical properties information, are used in more realistic computer simulations for sedimentary reservoirs.

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