Explore the Earth's
Hidden Resources
Geophysics, Hydrogeology & Geostatistics — powered by open-source Python and community-driven science from Cameroon.
Hydrogeology Studies
Investigation of subsurface water resources, watershed delineation, drainage network analysis, and geological mapping to support sustainable groundwater exploration in the Adamawa region of Cameroon.
Hydrogeology
Watershed Delineation (Bassins Versants)
Delineation of drainage basins within the Djerem watershed using SRTM DEM data. Highlights sub-basin boundaries, river network hierarchy (orders 1–6), and flow directions to characterise hydrological behaviour across the study area.
Geology
Geological Map of the Djerem Region
Geological mapping identifying lithological units, rock formations, and structural features — forming the geological framework for assessing aquifer potential and groundwater recharge zones.
Drainage Analysis
Drainage Density Map
Spatial analysis of drainage density (0–0.78 km/km²) from SRTM data. Higher densities indicate lower infiltration capacity and greater surface runoff, informing recharge zone identification.
Structural Geology
Fracturing & Lineament Map
Extraction and analysis of structural lineaments from satellite imagery to identify fault zones and fracture networks — critical targets for borehole siting in hard-rock aquifer systems.
Study Area
Localisation of the Danfili Study Zone
Geographic location map situating the Danfili area within its regional administrative and topographic context in northern Cameroon. This map anchors all hydrogeological and geophysical investigations conducted in the area.
Geophysics Studies
Electrical Resistivity Tomography (ERT) surveys at Danfili to characterise subsurface geology, identify aquifer structures, and optimise borehole placement for sustainable groundwater development.
ERT — 2 Profiles
Electrical Resistivity Tomography — Inverted Profiles
Six 2D ERT profiles acquired across the Danfili area using Wenner-Schlumberger arrays. Inversion errors range from 2.3% to 5.9%, confirming good data quality. Resistivity models (10–3000+ Ω·m) reveal subsurface architecture: conductive zones (green–blue, <250 Ω·m) indicate weathered/saturated materials with groundwater potential; resistive bodies (orange–red, >1000 Ω·m) indicate fresh basement rock.
ERT — 1 Profiles
Electrical Resistivity Tomography — Inverted Profiles
Two 2D ERT profiles acquired with Wenner-Schlumberger arrays. Resistivity contrasts clearly delineate weathered horizons and fractured basement zones, with dashed markers indicating recommended borehole positions at conductor–resistor contacts.
Survey Layout
ERT Profile Layout — Danfili Village
Satellite view showing ERT profiles (pink lines), existing boreholes and wells (pw1–pw4, PHM1–PHM6, Forage Scanwater), and lineament traces. Layout designed to cross key structural features and evaluate aquifer continuity.
3D Modeling
3D Subsurface Resistivity Model
3D rendering of the subsurface resistivity distribution synthesised from multiple ERT profiles, providing a volumetric view of the aquifer architecture and fracture zones across the Danfili survey area.
Field Geophysicist
Gassawi Ismael
BYGRAPH & CAERR BTP
Field geophysicist responsible for ERT data acquisition, electrode layout, and on-site quality control throughout the Danfili survey campaign.
Processing Geophysicist
Gaya Sylvestre
RHEC-SARL · SEVES NGO
Processing geophysicist responsible for data inversion, quality control, and interpretation of resistivity models from all ERT profiles.
About Us
A passionate group of mining engineers, geophysicists, and data scientists dedicated to revolutionising the mining industry through innovative data analysis and open-source technologies.
Our Mission
To empower mining professionals with cutting-edge data analysis skills, bridging the gap between traditional mining practices and modern computational methods through education, research, and collaboration.
Our Vision
To become Africa's leading hub for mining data science innovation, fostering a community where open-source tools and collaborative research drive sustainable mineral exploration and extraction.
Our Values
Open collaboration, continuous learning, scientific rigour, and sustainable practices. We believe in making advanced mining analytics accessible to everyone through education and open-source development.
What We Do
Training & Workshops
Regular hands-on sessions covering Python, Linux, SimPEG, and industry-standard mining software.
Research Projects
Collaborative research in geophysical inversion, ML applications, and 3D geological modelling.
Community Building
Fostering a supportive network of professionals, students, and enthusiasts in mining analytics.
Open Source Dev
Contributing to and developing tools that make mining data analysis more accessible worldwide.
Research Topics
Geophysical Inversion
Advanced techniques in electromagnetic, gravity, and seismic data inversion using SimPEG and modern algorithms.
Machine Learning
Applying AI and ML models for ore deposit prediction, mineral classification, and exploration optimisation.
3D Geological Modeling
Building comprehensive subsurface models using Python, GemPy, and industry-standard software.
Data Processing
Automated workflows for geochemical analysis, drilling data, and multi-sensor integration.
Remote Sensing
Satellite imagery analysis for mineral exploration using spectral data and terrain modelling.
Open Source Tools
Development and training on Python libraries, Linux environments, and collaborative coding practices.