Description
Introduction
This advanced-level course is designed for senior geologists, exploration managers, and data scientists seeking expertise in high-level geospatial analysis, AI-driven resource modeling, and real-time decision-making technologies. The course focuses on big data analytics, geostatistical modeling, AI-assisted exploration workflows, and blockchain-based data security for phosphate, gold, and bauxite mining operations.
Date
Day | Time | Price | Country |
|---|---|---|---|
Mon – Wed | 8:00 – 10:00 | $5/hrs | Turkey |
Tue – Thu | 18:00 – 19:00 | $5/hrs | Turkey |
Wed – Fri | 20:00 – 21:00 | $5/hrs | Turkey |
Sat – Sun | 18:00 – 19:00 20:00 – 21:00 | $8/hrs | Turkey |
This Training Course Will Highlight
- Advanced geostatistical modeling and AI-driven data analytics for exploration.
- Digital twin technology and 3D mineral system modeling.
- Autonomous exploration technology and next-generation automation.
- Data-driven decision-making for real-time exploration targeting.
- Ethical AI use and sustainable digital innovation in mineral exploration.
Objectives
- Understand the role of technology and data in modern mineral exploration.
- Learn about geospatial and remote sensing techniques for exploration.
- Gain knowledge of basic data processing and visualization tools.
- Develop an understanding of how AI and machine learning improve exploration.
- Recognize the importance of real-time data integration in exploration projects.
Training Methodology
- Instructor-led sessions on exploration technologies.
- Hands-on exercises in GIS mapping and remote sensing analysis.
- Interactive discussions on digital transformation in mineral exploration.
- Basic data analysis exercises using exploration datasets.
- Case studies on real-world applications of new technologies.
- Case Study: How GIS and remote sensing helped discover a phosphate deposit.
Organizational Impact
- Enhances data-driven decision-making in exploration.
- Improves efficiency and accuracy in mineral prospecting.
- Reduces exploration costs through better targeting and predictive modeling.
- Supports digital transformation initiatives in mining companies.
- Strengthens competitive advantage through technology adoption.
Personal Impact
- Develops technical skills in GIS, remote sensing, and basic data analytics.
- Improves understanding of geophysical and geochemical datasets.
- Strengthens ability to interpret and apply exploration data.
- Expands career opportunities in digital exploration and mineral analytics.
- Builds confidence in using technology for mineral exploration projects.
Who Should Attend?
- Entry-level geologists and exploration professionals.
- GIS specialists working in mineral exploration.
- Mining engineers and field geologists seeking digital skills.
- Government and geological survey officials.
- Undergraduate geology and mining students.
- Technical staff in data processing and exploration analysis.
- Professionals transitioning into data-driven mineral exploration.
Course Outline
Day 1
Advanced Geostatistical Modeling for Mineral Exploration- Geostatistical data modeling for resource estimation.
- Multivariate geostatistics and spatial machine learning.
- Variogram modeling and simulation-based exploration targeting.
- Bayesian inference and probabilistic mineral prospectivity analysis.
- AI-assisted ore body modeling and risk assessment.
- AI-powered geostatistical modeling in a phosphate exploration project.
Day 2
AI-Powered Exploration Decision Support Systems- AI-driven decision trees and risk-based exploration targeting.
- Predictive analytics for real-time exploration project management.
- Automated anomaly detection in geophysical and geochemical datasets.
- Explainable AI (XAI) and interpretability in mineral exploration AI models.
- AI-based mineral potential mapping in a gold exploration project.
Day 3
Next-Generation Automation and Autonomous Exploration Technologies- Applications of autonomous robotic exploration in mineral prospecting.
- Drones and UAVs for automated high-resolution geological mapping.
- AI-driven core logging and automated drill data interpretation.
- Advanced lidar and hyperspectral imaging for deep exploration insights.
- Blockchain for securing and verifying mineral exploration datasets.
- Autonomous exploration technology deployment in a bauxite mining project.
Day 4
Real-Time Data Processing and Digital Twins in Mineral Exploration- Building digital twin models for real-time exploration asset management.
- Edge computing and AI for live geospatial data interpretation.
- Cloud-based geoscience AI applications for large-scale exploration.
- Predictive maintenance and risk monitoring for exploration equipment.
- Using VR and AR for interactive geological model visualization.
- Digital twin implementation for a large-scale gold exploration project.
Day 5
The Future of AI and Data Science in Exploration and Mining- Advancements in AI-powered generative geoscience modeling.
- Quantum computing applications for solving complex geoscience problems.
- Data ethics and responsible AI in mineral exploration.
- Best practices for integrating AI and automation into exploration workflows.
Cancellation policy
no refund is accepted
Certificate
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