Geostatistics – Using Software for Geospatial Analysis

An Intensive 5-day Training Course

Geostatistics - Using Software
for Geospatial Analysis

UPCOMING SESSIONS

Classroom sessions
DateVenueFee
23-27 Jun 2025Dubai - UAE$5,950RESERVE A SEAT
06-10 Oct 2025Dubai - UAE$5,950RESERVE A SEAT
12-16 Jan 2026Dubai - UAE$5,950RESERVE A SEAT

Training Course Overview

This Geostatistics – Using Software for Geospatial Analysis training course provides an excellent introduction to applying statistical methods in spatial data analysis. It covers key concepts in geoscience, with a particular focus on oil and gas exploration. The course demonstrates how to use the widely accessible Excel for geospatial analysis in initial geological and exploration research. It also presents advanced techniques for geospatial analysis using the free R software, including explanations of statistical methods and the relevant packages through practical examples.

The training course is designed to assist professionals in data analysis, geologists, and oil and gas experts in overcoming the limitations of off-the-shelf software. While these programs are useful, they can restrict the user's ability to apply their own knowledge and adapt models, as they rely on pre-set algorithms that fit data into predefined distributions. By taking this course, professionals will learn how to use free or low-cost software to enhance the capabilities of commercial tools, allowing them to unlock their full creative potential without restrictions.

This training course will feature:

  • Explanation of geoscience and its applications in oil and gas
  • Integrating information from various sources with varying degrees of uncertainty
  • Establishing relationships between measurements and reservoir properties
  • Using semi-variograms and kriging
  • Hands-on practice in using excel and R for spatial data analysis
  • Advanced concepts: Monte Carlo Simulation, k-means, numerical facies modeling, fuzzy logic

Training Course Objectives

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

Designed for

This Geostatistics – Using Software for Geospatial Analysis 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

Learning Methods

This 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.

The 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

  • Anderson Certificate of Completion will be provided to delegates who attend and complete the course
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    The training fees include full access to the training venue, along with comprehensive training materials to enhance your learning experience. Additionally, participants will be provided with writing supplies and stationery. To ensure comfort and convenience, the fee also covers lunch and refreshing coffee breaks throughout the duration of the course.

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