Innovating sustainable solutions through digitalization, automation, and AI-driven analytics for energy, water, and environmental sectors.
Stage 1: Exploration & Feasibility
Hydrogeological & Geological Assessments
- Groundwater Potential & Recharge Zones: Evaluates aquifer storage capacity, recharge rates, and sustainable yield using field data and GIS mapping.
- Aquifer Testing (Slug/Pumping): Determines hydraulic conductivity, storativity, and well yield via field tests (e.g., constant-rate pumping tests).
- Isotopic & Hydrochemical Tracing: Identifies water sources, flow paths, and contamination risks using stable isotopes (δ¹⁸O, δ²H) and ion analysis.
Geophysics & Borehole Logging
- TEM/ERT/TDEM/Resistivity/Magnetic/MT/AMT: Maps subsurface structures, detects water-bearing zones, and identifies mineral deposits.
- Borehole Logging (Conventional/Imaging/NMR): Analyzes lithology, fractures, and porosity using tools like optical televiewers or nuclear magnetic resonance.
Climate & Hydrological Modeling
- Predicts long-term water availability using rainfall-runoff models (e.g., SWAT) and climate projections to assess drought/flood risks.
Water Resources & Quality Baselines
- Establishes pre-mining water quality (pH, metals, organics) and seasonal variability through multi-year monitoring.
Digital & Smart Monitoring
- Deploys IoT sensors for real-time groundwater levels/drones for LiDAR-based terrain mapping and thermal imaging.
Environmental & Regulatory Compliance
- Conducts Baseline ESIA (Environmental and Social Impact Assessment) and aligns with local water policies (e.g., IFC Performance Standards).
Stage 2: Mine Design & Construction
Mine Water Balance Modeling
- Quantifies water inputs (rainfall, groundwater), outputs (evaporation, discharge), and recycling potential using tools like GoldSim.
Dewatering Systems Design
- Simulates pit inflows, designs sumps/pumps, and assesses geotechnical risks (slope stability via PLAXIS).
Hydrological Impact Assessments
- Models changes to surface runoff and groundwater flow (MODFLOW) to mitigate downstream effects.
Surface & Underground Drainage Solutions
- Implements passive treatment (anoxic limestone drains) or active systems (reverse osmosis) for acid mine drainage (AMD).
Infrastructure & Water Storage Design
- Designs tailings storage facilities (TSFs) with HDPE liners, flood diversion channels, and stormwater ponds.
Smart Monitoring Networks
- Uses AI (e.g., neural networks) to predict seepage or equipment failures from sensor data.
Geochemical & Contaminant Risk Studies
- Tests AMD potential via static (ABA) and kinetic (humidity cell) tests; models metal leaching (PHREEQC).
Stage 3: Operations & Production
Operational Water Optimization
- Recycles process water (thickener overflows) and controls pit dewatering rates to reduce freshwater demand.
Water Quality & Contamination Monitoring
- AI/ML models (e.g., Random Forest) predict contaminant spikes (e.g., arsenic) from real-time sensor data.
Mine Wastewater Management
- Installs cutoff walls or grout curtains to prevent seepage from tailings into aquifers.
Effluent Treatment & Discharge
- Treats water to meet regulatory limits (e.g., <0.1 mg/L Cu) via chemical precipitation or electrocoagulation.
Cloud-Based Water Data Platforms
- Centralizes data in platforms like AQUARIUS for compliance reporting and stakeholder dashboards.
Environmental & Social Risk Audits
- Tracks community grievances (e.g., water access) and verifies compliance with ISO 14001.
Stage 4: Closure & Rehabilitation
Mine Water Closure Planning
- Plans for pit lakes (e.g., backfilling vs. flooding) and long-term water balance stability.
Contaminant Transport Modeling
- Forecasts metal/nutrient migration (FEFLOW) over 100+ years post-closure.
Landform & Drainage Reconfiguration
- Reshapes slopes to mimic natural drainage and prevent erosion (using WEPP models).
Passive Water Treatment Systems
- Builds constructed wetlands with cattails/reed beds to filter metals sustainably.
Post-Closure AI/ML Monitoring Tools
- Satellite InSAR detects ground subsidence; AI flags leakage in real-time.
Geochemical Risk Assessment
- Studies tailings-water interactions (e.g., sulfide oxidation rates) to prevent delayed AMD.
Stage 5: Post-Closure Monitoring
Long-Term Water Quality Monitoring
- Combines automated sensors (e.g., YSI EXO2) with annual lab sampling for 30+ years.
Reclaimed Water Systems
- Repurposes pit lakes for aquaculture or irrigation after treatment (e.g., phytoremediation).
Climate Resilience Modeling
- Simulates impacts of extreme rainfall (RCP 8.5 scenarios) on site stability.
Audit & Compliance Reporting
- Documents adherence to closure criteria (e.g., ICMM guidelines) for regulatory sign-off.
Digital Monitoring Integration
- Satellite-GIS dashboards (e.g., ArcGIS Online) track vegetation recovery and water trends.