Caracterização de Seções em 2d de GPR (Ground Penetrating Radar) para a identificação de manchas de óleo.

Abstract

Ground Penetrating Radar (GPR) is a nondestructive technique for high-resolution subsurface imaging, applicable in urban and sensitive environments. Its geological applications include shallow subsurface mapping, rock structures, buried channels, and the water table. This study evaluated the application of the open-source software RGPR, developed in the R programming language, for processing radargrams to identify potential hydrocarbon contamination. Real data obtained from a decommissioned thermoelectric power plant located in Manaus (AM), Brazil, were analyzed with the objective of identifying reflection patterns related to the presence of oil stains. The analyses revealed signal variations indicating alterations in soil material and possible contaminated areas, although definitive confirmation was limited by noise, soil physical properties, and computational tool constraints. The results indicate that GPR, combined with open-source software, is viable for exploratory studies of oil contamination, provided it is complemented by indirect techniques and laboratory analyses to ensure greater interpretative reliability.