Non-invasive geophysical imaging and facies analysis in mining tailings

Stratigraphy and facies analysis in a mining waste domain such as tailings storage facilities (TSFs) is still complex task due to sparsely distributed field data. Geophysical techniques the interpretation of geophysical data terms stratigraphy get relevance for integrating geophysics with other models investigating domains (e.g., hydrogeological-geochemical). In this paper, we introduce conventional application differential operators interpreting TSFs. The acquired area Pyhäsalmi mine, Finland, using seismic refraction (SR) electric resistivity imaging (ERI) techniques. SR inversion model constrained by geological approximated ground bedrock layers delineating P-wave velocities (Vp). layered served constraint electrical (ρ) ERI method. was used subsurface variables water saturation, salinity). For this, first-order derivative (gradient approach) second-order combined Gaussian filter (Laplacian were applied highlight transition zones. approach embeds scalar functions within space defined local structure. When data, gradient Laplacian captured extrema minimum threshold crossings respectively enhancing geoelectric zones contacts line observations. This paper demonstrated that image can be proposed segmentation facies, relevant conceptualization parameterization hydrogeological models.