The Yaouré gold district is located in the central-western part of Ivory Coast. The lithostratigraphy of this district is characterized from bottom to top as follows: (a) a series of metamorphic rocks, consisting of biotite gneiss and granodiorite gneiss; (b) a series of metasedimentary rocks, composed of medium to fine-grained sandstones and graphitic schists with elongated linear quartz-feldspar crystals and a north-south oriented schistosity.; (c) a series of volcanic rocks, consisting of pillow basalt flows associated with late-stage intrusive rocks (granodiorite, diorite, gabbro, tonalite, microgranodiorite, microdiorite, microgabbro), marking the end of magmatism; (d) a series of volcanoclastic rocks, composed of polygenic conglomerates. The petrographic study of the geological formations in the Yaouré gold district has allowed us to identify three main groups of rocks: (i) magmatic rocks (plutonic, subvolcanic, and volcanic); (ii) metamorphic rocks; (iii) volcano-sedimentary rocks (volcanoclastic and metasedimentary). Most of the lithologies in our study area are affected by greenschist metamorphism, characterized by minerals such as chlorite, sericite, epidote, as well as hydrothermal activity with carbonate fillings (calcite), quartz, potassium feldspar, sulfides, and varying amounts of gold.

In this paper, we propose a new representation of characteristics based on texture and color analysis for rock recognition. The proposed method combines the discriminating colour and texture characteristics of a rock image from a composite LBP descriptor to make automatic, fast and efficient rock identification. Indeed, the colorimetric texture descriptor ALBPCSF (Adjacent Local Binary Pattern based on Color Space Fusion) derives from the concatenation of the LBP texture characteristics and the color characteristics with the fusion of the two (02) colorimetric spaces RGB and HSV. In our methodology we first applied ALBPCSF on images of two (02) different families of rocks that are magmatic rocks and metamorphic rocks to produce colorimetric texture images then the K-SVD (K-Singular Value Decomposition) dictionary algorithm with a choice of suitable parameters is applied to said texture images produced to calculate a signature of the rocks from our image base. For dictionary learning the K-SVD method uses Orthogonal Matching Pursuit (OMP) as a sparse coefficient coding algorithm. The experimental results of the proposed approach on our image database show that the results of the proposed color LBP are relatively better than those with a grayscale or scalar LBP on the one hand and better than those of the direct K-SVD on the initial images on the other hand. The proposed strategy contributes significantly to improving the performance of automatic rock identification systems.

The analysis of two radar images permits the mapping of following petrographic units: the porphyritic granodiorite of Yamoussoukro, the biotite and hornblende rich granodiorite of Toumodi, the plutono-volcano-sedimentary complex of Fetekro-Divo, the biotite-hornblende metagranite, the biotite granitic orthogneiss. It also allows the mapping of four (4) major fractures. These are: NE to NNE-SSW (ZFET and ZFTaY) fractures, NE-SW (ZFTa and ZFOT) fractures, EW (ZFO and ZFT) fractures and finally NW-SE (ZFTaHO and ZFTY) fractures. On the ground, we have distinguished three petrographic facies: syenogranites, monzonitic granites and microgranites. Six main directions of fractures were identified: sinistral N020

The petrographic study of rocks and some few outcrops revealed the great diversity of volcano-plutonic formations. Indeed, magmatism of the Yaour

The Yaoure gold deposit (Central Ivory Coast, West Africa) is composed of several types of ores: quartz vein, sulphide facies (45-50 m in depth), oxidized facies (35-45 m in depth) and, on the surface, a clayey zone. Therefore some physical features like permeability are essential in the heap leaching method. Taken separately, the ore associated with the clay show some recovery problems, when the humidity level is more than 12 to 15%. For this cause, the Department of science and mining resources of INP-HB has study the blending method thus to face that problem. It's consisting of mixing the clayey ore with different other types of ore proportionally to obtain a heterogeneous ore and increase its permeability thus. A leaching test has been achieved on six samples (blended clayey and lateritic ores) to determine the maximum recovery and the optimum consumption in reagents (NaCN and CaO). The tests results permit to obtain the best figure with 96.63% of reconstituted quantity recovery with reagents consumption of 1.41 kg/t in NaCN and 0.45 kg/t in CaO. In addition, some in column leaching tests must be done often to simulate the leaching in heap with the aim of determining some technical, physical and economic parameters to improve the process and therefore to increase the recovery.

Control of different network fractures is an important tool in the Mining Research in the Birimian of West Africa. The objective of this work is to highlight the fractures and major formations of central-east of Ivory Coast, using Landsat 7 ETM+ images. We have extracted lineaments and the hydrographical network from an analogic analysis supplemented by numerical analysis using directional filters. Next, we determined the limits of lithological using textures and colors. A sketch map of lithostructural was thus obtained.
Several directions of major fractures were mapped. These directions are: sinistral submeridional N00