INTRODUCTION

This training program is a perfect example of how to apply statistical techniques to the analysis of spatial data. It provides the geoscience ideas with a focus on oil and gas exploration in particular. the common practice of using Excel for geospatial analysis in the early stages of applied geology and exploration. Additionally, provided are advanced ideas for using the free R software for geospatial analysis through examples, along with an explanation of the statistical techniques and packages employed.

This training course is intended to assist geologists, oil and gas professionals, and data analysis professionals by removing the restrictions associated with using ready-made software. While this software is quite helpful, it restricts the professional's ability to apply their knowledge and expand the models they use because it uses pre-designed algorithms and "forces" the data into distributions appropriate for the models. This training program will teach professionals how to expand the functionality of commercial software using free or inexpensive tools, giving them unrestricted use of their own creativity.

COURSE OBJECTIVES

By the end of the course, participants should be able to:

• Learn the principles and practices of geostatistics, as well as the capabilities of Excel and the R programming language.
• Gain familiarity with the R packages that are available for the analysis of spatial data.
• Import, analyze, and evaluate the outcomes of spatial data

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:

• Data Scientists
• Data Analysts
• Geologists
• Petroleum engineers
• Reservoir engineers
• Other professionals involved in spatial analysis and oil and gas exploration

COURSE CONTENT

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

GENERAL NOTES

• Our seasoned instructors, who have years of experience as seasoned professionals in their respective fields of work, will be teaching this course. A combination of practical exercises, theory, group projects, and case studies are used to teach the course.
• The participants receive training manuals and supplementary reading materials.
• Participants who complete this course successfully will receive a certificate.
• We can also create a course specifically for your organization to match your needs. To learn more, get in touch with us at training@dealsontrainers.org.
• The training will take place at DEALSON TRAINERS IN NAIROBI, KENYA in Nairobi, Kenya.
• The training fee includes lunch, course materials, and lodging for the training session. Upon request, we may arrange for our participants' lodging and transportation to the airport.
• Payment must be made to our bank account before the training begins, and documentation of payment should be emailed to training@dealsontrainers.org