الوصف
المقدمة
This advanced training program is designed for senior geologists, GIS specialists, and exploration managers who require expertise in high-level GIS applications, predictive mineral exploration models, geospatial machine learning, and 3D GIS-based resource modeling. The course focuses on deep integration of geological, geophysical, and geochemical data using GIS for mineral targeting with applications for phosphate, gold, and bauxite deposits.
ايام الدورة
الايام | الوقت | السعر | البلد |
|---|---|---|---|
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 |
ستسلط هذه الدورة التدريبية الضوء على
- Advanced geostatistical and machine learning applications in GIS.
- 3D GIS and resource estimation modeling for ore body delineation.
- Predictive mineral prospectivity mapping using artificial intelligence.
- Big data analytics and GIS-driven exploration decision-making.
- Application of GIS in mineral economics and feasibility studies.
الاهداف
- Understand the basic principles of GIS and its applications in geology.
- Learn how to create geological maps and manage spatial data.
- Gain an understanding of spatial analysis techniques for mineral exploration.
- Develop skills in handling and visualizing geochemical and geophysical datasets.
- Learn how to use GIS software for mineral prospectivity analysis.
Training Methodology
- Instructor-led presentations on GIS fundamentals.
- Hands-on exercises using GIS software (e.g., ArcGIS, QGIS).
- Basic geological and mineral mapping exercises.
- Step-by-step demonstrations of spatial data processing.
- Interactive Q&A sessions on GIS applications in exploration.
- Case Study: GIS-based geological mapping for phosphate or gold exploration.
Organizational Impact
- Enhances geological and exploration data management through GIS.
- Improves targeting efficiency and decision-making in mineral exploration.
- Strengthens technical capabilities in spatial data interpretation.
- Supports better integration of geospatial data with geological datasets.
- Reduces exploration risks by optimizing data analysis and visualization.
Personal Impact
- Develops fundamental GIS skills applicable to geology and mineral exploration.
- Improves spatial analysis and map creation capabilities.
- Strengthens ability to interpret geological and geophysical data using GIS.
- Expands career opportunities in mining and mineral exploration companies.
- Builds confidence in working with GIS tools for mineral prospectivity mapping.
Who Should Attend?
- Entry-level geologists and exploration geoscientists.
- GIS specialists working in mineral exploration and mining.
- Mining engineers involved in spatial analysis and planning.
- Government and regulatory personnel in geological survey departments.
- Undergraduate geology, mining, and GIS students.
- Environmental geologists interested in GIS applications for mining projects.
- Technical staff involved in geological data management.
Course Outline
Day 1
Advanced Geospatial Data Processing and Database Management- Handling and managing large-scale GIS datasets for mineral exploration.
- Advanced GIS scripting (Python, R) for geological data automation.
- Building dynamic geospatial databases for exploration projects.
- Remote GIS-based data collection and field integration.
- Using cloud-based GIS applications for real-time mineral exploration.
- Geospatial database development for a multi-commodity exploration project.
Day 2
Advanced Geostatistics and Mineral Resource Modeling in GIS- Application of variography in mineral resource evaluation.
- Advanced interpolation techniques – Ordinary Kriging (OK) vs. Indicator Kriging (IK).
- Integration of GIS with geostatistical software (Surfer, Leapfrog, GeoStats).
- Modeling complex ore bodies using 3D GIS techniques.
- Uncertainty assessment in geostatistical mineral exploration models.
- 3D resource estimation for a gold deposit using GIS.
Day 3
Predictive Mineral Prospectivity Mapping and AI in GIS- Machine learning algorithms for mineral prospectivity mapping.
- Training and validating GIS-based predictive models.
- Combining GIS with artificial intelligence (AI) for mineral targeting.
- Big data analytics in GIS-driven mineral exploration.
- Optimization of exploration drilling programs using GIS-AI models.
- AI-assisted GIS modeling for phosphate mineral exploration.
Day 4
Remote Sensing and GIS Integration for Advanced Mineral Exploration- Using LiDAR and drone-based remote sensing data in GIS.
- Advanced spectral unmixing techniques for ore detection.
- Thermal infrared (TIR) and Shortwave Infrared (SWIR) applications in GIS.
- Real-time remote sensing and GIS-based environmental impact monitoring.
- Integrating hyperspectral data with GIS for structural geology interpretation.
- Multi-sensor GIS analysis for identifying bauxite deposits.
Day 5
Exploration Risk Management and Economic Analysis Using GIS- Geospatial risk assessment models for mineral exploration.
- Economic modeling of mining projects using GIS spatial analysis.
- GIS-based cost optimization for exploration targeting and drilling.
- Decision-support systems (DSS) for GIS-driven exploration projects.
Cancellation policy
no refund is accepted
Certificate
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