Geostatistics, Modeling and Analysis 1 - Data Structures and Theory

10 modules


Course Length
19 hours

Edumine Courses

01 Oct 2020



Geostatistics, Modeling and Analysis is a series of two courses that provides a practical application reference for students and practicing geoscientists concerned with 3D characterization of subsurface conditions. It provides the knowledge and background to allow useful application of geostatistics, integrated with 3D modeling and spatial analysis, in the furtherance of geoscientific objectives.

Application of geostatistics in the geosciences started in the mining sector but now has significant applications in the environmental, petroleum, and geotechnical sectors. Applications include evaluation of a mineral deposit or oil reservoir, assessment of subsurface contamination, or characterization of geotechnical conditions.

In practice, application of geostatistical theory requires an integrated toolbox of statistical, geostatistical, geological, spatial analysis, and visualization techniques. The Geostatistics, Modeling and Analysis courses focus on the integrated approach to apply geostatistics for subsurface characterization, from a description of the data structures required, through discussion of the concepts, theory, and application, to qualification of the end results with worked examples.

The courses emphasize the practical application of geostatistics and limit the presentation of geostatistical theory to the level required for a solid understanding of the techniques involved.

Geostatistics, Modeling and Analysis 1 - Data Structures and Theory is the first course in the series. It introduces geostatistics, data types and structures, and covers the basic concepts and theory of geostatistics. It then discusses the integration of geology with geostatistics and explains this through worked examples.


  • Simon W. Houlding MSc. P.Eng


Duration: 19 Hours
Access: 90 Days
Category: Exploration
Level: Specialize
Version Date: August 25, 2020

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Course Content

This course consists of 21 viewing sessions of 30–60 minutes each with supporting figures, extensive worked examples, numerous full-color images of computer visualization, plus interactive course reviews. Total course duration is equivalent to approximately 19 hours of viewing content.

Learning Outcomes

  • Explain the origins, principles and theory of geostatistical analysis and estimation.
  • Describe the data structures and integrated technologies required for practical 3D application of geostatistics.
  • Recognize how one can apply the results of geostatistical analysis and estimation to mineral deposit evaluation and environmental and geotechnical problems.

Recommended Background

  • A degree in geology, engineering geology, mining engineering, environmental engineering or related discipline.
  • A basic understanding of statistical methods.


By completing/passing this course, you will attain the certificate Edumine Certification

Learning Credits

Table of contents
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Module 1: Introduction - Why Geostatistics?
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Knowledge Check Module 1: Introduction - Why Geostatistics?
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Module 2: Data Types and Structures for 3D Geostatistics
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Knowledge Check Module 2: Data Types and Structures for 3D Geostatistics
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Module 3: Basic Concepts and Theory of Geostatistics
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Knowledge Check Module 3: Basic Concepts and Theory of Geostatistics
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Module 4: Integration of Geology with Geostatistics
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Knowledge Check Module 4: Integration of Geology with Geostatistics
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Module 5: Worked Examples
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Added 9 days ago, by Anonymous
While content was a good introduction to the principles of the subject, it was very dry and difficult to maintain focus. Paragraph texts did not correlate well with images/figures and sometimes felt like two simultaneous conversations. Could be much improved by inclusion of video recordings with examples or summary of each section prior to each exam. Good exams usually provide the correct answer and short reasoning why an answer is right or wrong. The exams in this course provided the correct answer, but no further input or explanations. Overall experience akin to reading a long-winded scientific journal.
Added 7 months ago, by Steven
Added about 1 year ago, by MARCELO
Added about 1 year ago, by LAURA
Added over 1 year ago, by George
It was an interesting course. It was very enlightening to see how geostatistics differs from statistics. The definition of the data structures could have been clearer to me or illustrated with a number of examples
Added about 2 years ago, by Anonymous
Added over 2 years ago, by Anonymous
Added almost 3 years ago, by Anonymous

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