INTRODUCTION
This training course is an ideal presentation of using statistics methods in spatial data analysis. It presents the concepts used in geoscience with special emphasis on oil and gas exploration. The use of omnipresent Excel for the geospatial analysis for the initial applied research in geology and exploration. Advanced concepts of using free R software for geospatial analysis trough examples is also presented, with explaining of statistical methods used and the packages.
This training course is designed to help professionals in data analysis, geologists and oil and gas professionals to remove the limitations of using an off-the-shelf software, which is quite helpful but it limits the ability of the professional using it to apply its knowledge and extend the models used, as the readymade software applies pre-designed algorithms and ‘’forces’’ the data into distributions applicable for the models. This training course will allow the professionals to understand how they can use free or low-cost software to extend the capabilities of commercial software and enable them to use their own ingenuity without limitations.
COURSE OBJECTIVES
By the end of the course, participants should be able to:
DURATION
5 Days
WHO SHOULD ATTEND
This training course is designed for all professionals working in the field of data analysis, oil and gas exploration, geology and reservoir modelling and will greatly benefit:
COURSE CONTENT
Day One: Geostatistics - Concepts and Introduction to Software
Day Two: Spatial Data Analysis
Day Three: Steps in Geostatistics - The Variogram and Kriging
Day Four: Big Data Analytics and its Relation to Oil and Gas
Day Five: Advanced Topics in Spatial Statistics
GENERAL NOTES
Dates | Fees | Location | Apply |
---|---|---|---|
09/09/2024 - 13/09/2024 | $1500 | Nairobi | Physical Class Online Class |
14/10/2024 - 18/10/2024 | $2950 | Kigali | Physical Class Online Class |
11/11/2024 - 15/11/2024 | $1500 | Mombasa | Physical Class Online Class |
09/12/2024 - 13/12/2024 | $1500 | Nairobi | Physical Class Online Class |
Group # | |||
---|---|---|---|
1. | 1 | $ 1500 | $ 3000 |
2. | 5 - 10 | $ 1350 | $ 2700 |
3. | 11 - 20 | $ 1200 | $ 2400 |
4. | 21 - 30 | $ 1000 | $ 2000 |
5. | 31 - 40 | $ 800 | $ 1600 |
6. | 41 - 50 | $ 700 | $ 1400 |
7. | 51 > Above | $ 600 | $ 1200 |