Detection of seepage paths in small earth dams using the self-potential method (SP)

Abstract

The application of geoelectric methods, such as induced polarization (IP), the electrical resistivity and the self-potential (SP), presents an important indirect study methodology in several areas of geology, such as mining, geotechnics and environmental geology. The present study deals with the results of the application of the selfpotential method (SP) in small earth dams in the cities of Cordeirópolis and Ipeúna, both in the state of São Paulo. Studies of the Engineering of Dams intensified at the end of century XX, due to alarming number of dam disruptions. In Brazil, small dams are still the majority, around 90% of the total. This article presents results of surveys of the self-potential in two small dams, analyzing the flow of fluids, heat or ions inside the dams, as well as possible areas of percolation or water saturation. Three lines of 78 meters each were made with a spacing of 2 meters between the electrodes in the Cordeirópolis dam, and three lines of 122 meters each, spaced 2 meters between the electrodes in the Ipeúna dam. In both collections, the potential technique (or fixed base) was used. The collected data was worked on 2D maps of self-potential, which allowed to identify the zones with greater and smaller values of potential difference, preferential flow of the subsurface fluids in the areas, and possible problems in the structure of the dam (seepage paths), which could affect the physical integrity of the structure.

2D Source Inversion of Self-potential Data Based on Particle Swarm Optimization and Gradient Method

“…The self-potential (SP) method has a very broad application prospect in mineral exploration [1,2], organic pollutants tracking [3,4], and leakage detection [5,6], with the advantages of high efficiency and low cost [7]. At present, the accurate inversion of the SP sources are mostly carried out by traditional gradient method, which achieves iterative solution through strict gradient calculation [8,9].…”

Inversion of self‐potential source based on particle swarm optimization

“…Self‐potential (SP) method has been widely applied in hydrogeological survey (Fernández‐Martínez, García‐Gonzalo, Fernández‐Alvarez, et al., 2010; Fernández‐Martínez, García‐Gonzalo, Naudet, 2010; Jardani et al., 2006; Oliveti & Cardarelli, 2019; Voytek et al., 2019), metal and non‐metal mineral exploration (Heritiana et al., 2019; Kawada & Kasaya, 2017) and pollutant diffusion monitoring (Abbas et al., 2017; Cui et al., 2017; Giampaolo et al., 2014) because it has the advantages of simple in principles, high in production efficiency, simple in equipment, free in secondary pollution and low in costs. However, the SP data will not be able to reflect the profile depth information without additional constraints, resulting in the SP method in engineering applications often stop at qualitative interpretations (Guireli‐Netto et al., 2020; Kawada & Kasaya, 2018; Shao et al., 2017). In some interpretation techniques, constraint information has been applied to improve the inversion accuracy.…”