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Geological modeling is an essential step in mineral resource assessment. Geologists typically use deterministic methods to create interpreted models, which ignore the uncertainty in the geological domain layout. This study explores a hierarchical approach for simulating a categorical variable (lithological domain) and a continuous variable (iron grade) in a deposit located in Cameroon, enhancing confidence and accounting for geological uncertainty in resource evaluation. To achieve this, lithological domains are simulated using a non-stationary variant of the plurigaussian model, followed by the simulation of iron grade while accounting for its spatial correlation within and across domains. Cross-validation is used to validate the model, and the simulated block models are processed to assess in-situ and recoverable resources and their uncertainties. [ABSTRACT FROM AUTHOR]

The present study attempts to combine direct current and induced polarization methods for 3D geological modelling and preliminary volume estimation of gold mineralization targets in the Simi locality, Adamawa, Cameroon. To begin, resistivity and chargeability data were collected along seven profiles oriented in N150E using the electrical tomography technique. A geological investigation was also carried out and allowed in addition to the geological formations to highlight the existence of gold mineralization in the study area. The interpretation of the inversion results was done by taking into consideration the geological field data and the existing resistivity charts. The 3D distribution of the interpreted sections allowed us to make a horizontal correlation between the different sections and to elaborate the 3D geological model of the study area by using the deterministic inverse distance method. The estimated model indicates a volume of 621,130.625 m3 of the possible gold complex. The gold complex was then divided into two mineralization domains based on chargeability ranges (mV/V): A first domain is associated with a major mineralization zone (39–60 mV/V) with a volume of 10,842 m3, and a second domain is associated with secondary mineralization zone (18–39 mV/V) with a volume of 610,288 m3. This model allows to compartmentalize the gold complex and can be used as a base model for the gold investigation in the study area. [ABSTRACT FROM AUTHOR]

Resistivity method using seventy-sixth (976) Schlumberger vertical electrical soundings along forty-one (41) profiles are conducted in the Batouri and Ngoura subdivisions, East region of Cameroon, to investigate the subsurface layering, mineral potential, and groundwater resource characteristics. Results of quantitative and qualitative interpretation of data using Koefoed computation method reveal two to five layers having geometrical and electrical characteristics of geological layer models: topsoil (0.5 m < e p < 3 m ; 600 < ρ < 3000 Ω. m), lateritic soils (3 < e p < 20 m ; 1000 < ρ < 4000 Ω. m); conductive layer (5 < e p < 110 m ; 100 < ρ < 1000 Ω. m); fractured/weathered granite (20 < e p < 60 m ; 1000 / 5000 < ρ < 3000 / 9000 Ω. m); clayey layer (5 < e p < 20 m ; 600 / 1500 < ρ < 2000 / 3500 (dry) Ω.m); and fresh granites (ρ > 4000 Ω. m). From the qualitative interpretation of VES curves, the subsurface layering is depicted by nine (09) types of sounding curves (G, H, A, QH, KH, HK, HA, HKH, and KHK) characterizing the vertical changes and the typology of sounding curves in the East Cameroon crystalline basements. The lithology of the subsurface is dominated (more than 80%) by geoelectrical and lithological 1D models derived by the H, QH, KH, HK, HA, HKH, and KHK curve types. These models are characterized by the presence of conductive layers and fractured/weathered granites derived from tectonic activities of the region. Also, the resistivity method (VES) applied in this study bring information about variation of the resistivity with depth, geological structures, fractures, and rupture zones in the underground until 120 m depth. These abovementioned information reveal proper hydrogeological and mining conditions for an efficient evaluation of the mineral potential and groundwater resources. [ABSTRACT FROM AUTHOR]