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A highly interactive training course on
Geostatistics – Using Software for Geospatial Analysis
Training course overview
This training course offers an ideal introduction to statistical methods in spatial data analysis, specifically tailored for geoscience applications with a focus on oil and gas exploration. It utilizes the widely accessible Excel for initial geospatial analysis in geology, along with advanced concepts presented through the free R software. Participants will explore examples that illustrate statistical methods and relevant packages.
Designed for data analysts, geologists, and oil and gas professionals, this Coventry Academy training course aims to overcome the limitations of off-the-shelf software, which often restricts users to pre-designed algorithms and predefined data distributions. By learning to use free or low-cost software, professionals can enhance their analytical capabilities and leverage their expertise without constraints.
Key features of this course include:
- Overview of geoscience and its applications in oil and gas
- Integrating data from diverse sources with varying uncertainty levels
- Establishing relationships between measurements and reservoir properties
- Employing semi-variograms and kriging techniques
- Hands-on practice using Excel and R for spatial data analysis
- Advanced concepts such as Monte Carlo Simulation, k-means clustering, numerical facies modeling, and fuzzy logic
What are the goals?
By the end of this training course, participants will be able to:
- Learn the concepts and methods of geostatistics
- Understand the capabilities of Excel and R programming language
- Acquire the knowledge of available R packages for spatial data analysis
- Import, analyze and interpret results from spatial data
- Perform Monte Carlo simulation, clustering analysis and other advanced techniques
Who is this training course for?
This Coventry Academy 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:
- Data Scientists
- Data Analysts
- Geologists
- Petroleum engineers
- Reservoir engineers
- Other professionals involved in spatial analysis and oil and gas exploration
How will this training course be presented?
This Coventry Academy training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes presentation of theoretical concepts, video lectures and many exercises that will be done through the guided work of the delegates themselves.
Course Outline
Day One: Geostatistics - Concepts and Introduction to Software
- Basics of Geostatistics
- Geostatistical reservoir modelling
- Short introduction to Excel
- Short introduction to R and R studio
- Exercise: importing well log data into excel and creating GR vs Depth plot
- Exercise: importing well log data into R and initial analysis
Day Two: Spatial Data Analysis
- Spatial Data Sampling
- Spatial Resolution Gap
- Spatial Weight Matrices
- Basis of data analysis: statistical measures, correlation and autocorrelation
- Exercise: determining correlation and autocorrelation in well log data using Excel
- Exercise: Plotting Spatial connectivity
Day Three: Steps in Geostatistics - The Variogram and Kriging
- Variogram and Modelling
- Sampling for the Variogram
- Nested Sampling
- Geostatistical Prediction: Kriging
- Exercise: Performing ANOVA in Excel, Kriging Example in Excel
- Exercise: Variogram and Kriging in R studio
Day Four: Big Data Analytics and its Relation to Oil and Gas
- Big Data Concepts
- Clustering analysis
- Spatial Variance and Covariance
- Data distributions
- Exercise: Variance and covariance calculation in Excel
- Exercise: Clustering analysis in R studio
Day Five: Advanced Topics in Spatial Statistics
- Bayesian Theory and Spatial Data
- Monte Carlo Analysis
- Markov Chains
- Exercise: Monte Carlo Simulation for Oil and Gas reserves simulation in Excel
- Exercise: Monte Carlo Simulation in R
- Fuzzy Logic, Machine Learning and generative algorithms and the future of prediction
The certificate
- Coventry Academy Certificate of Completion for delegates who attend and complete the training course
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