
Geomechanical quantitative analysis of fractures applied in the crystalline aquifers in São Lourenço do Sul, Rio Grande do Sul coastal plain
2024; Elsevier BV; Volume: 135; Linguagem: Inglês
10.1016/j.jsames.2024.104781
ISSN1873-0647
AutoresMauren E. Gaspar, Christie Helouise Engelmann de Oliveira,
Tópico(s)earthquake and tectonic studies
ResumoThe hard rock aquifer systems of Crystalline Aquifer System II (CBASII) and Crystalline Aquifer System III (CBASIII) in Rio Grande do Sul (RS) State, Brazil, were characterized qualitatively and quantitatively through remote sensing, gis-analysis, aeromagnetometry and structural geology analysis. The methods were applied to understand the relationship between the structures and the well capacities in both aquifer systems. Analysis of 139 structures provided a basis for a conceptual model for municipality of São Lourenço do Sul, in Rio Grande do Sul Coastal Plain, scaling systematic and a connection to preexisting structures. Python programming language script are used for statistical analysis can be download to reproduce statistical analysis of this paper with structural data bank. São Lourenço do Sul, is underlain by Pelotas Batholith, a geological complex affected by deformational events related to the Dom Feliciano orogeny. The models provided NW-SE extensions fractures with higher densities in depth for CBASII and CBASIII. Nevertheless, only CBASII is productive due to interconnectivity with preexisting structures WNW-ESE and generated by D1 and D2 deformational events of the Pelotas Batholith. CBASIII decreases its permeability as it was affected by the youngest brittle D3 event an extensional/strike-slip tectonic regime. The regional structures mapping with remote sensing and aeromagnetic ENE-WSE are mostly present in CBASIII. Structures mapping in remote are the same but vary in density. The relationship between oriented magnetic gradients and productive wells suggests fault zones with low hydraulic conductivity in areas with higher anomalies values. Fault damage zones are identified around these anomalies and characterized as the best areas for drilling.
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