Geostatistics, Modeling and Analysis 2 - Applications and Uncertainty

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Areas of Study: Exploration and Geology

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This course is the second in a two-course series about geostatistics, modeling and analysis; it focuses on applications in the geosciences and the uncertainty associated with the results.

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  • Audience Level:
  • Professional
  • Enrollment:
  • Required
  • Duration:
  • 16 hours

Course Summary

Introduction

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 2 - Applications and Uncertainty is the second course in the series (and assumes prior completion of the companion course, Geostatistics, Modeling and Analysis 1 - Data Structures and Theory). It introduces practical applications of geostatistics in the geosciences and explains the associated statistical uncertainty of the results. The course covers areas such as uncertainty and probability, visualization and spatial analysis, practical data management, and where possible this is explained through worked examples.

Course Content

This course consists of 19 viewing sessions of 30–45 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 16 hours of viewing content.

Learning Outcomes

  • Employ 3D geostatistics to sampling control, probability and risk analysis.
  • Employ geostatistical analysis and estimation to mineral deposit evaluation and environmental and geotechnical problems.
  • Evaluate the uncertainty associated with geostatistical estimation.

Recommended Background

  • A degree in geology, engineering geology, mining engineering, environmental engineering or related discipline.
  • A basic understanding of 3D geostatistical methods. This course assumes the reader has completed the companion course Geostatistics, Modeling and Analysis 1 – Data Structures and Theory.

Simon W. Houlding MSc. P.Eng

Simon Houlding spent his youth in Zimbabwe, graduated with an MSc (Engineering) from the University of the Witwatersrand in Johannesburg, worked in the South African mining industry for ten years, and has made Canada his home since 1976. He is a practicing Professional Engineer and member of the Association of Professional Engineers and Geoscientists of British Columbia, and a member of the CIM. In the 1980s he founded Lynx Geosystems Inc., where he pioneered the development of spatial modeling techniques for resource estimation and authored several books and numerous technical references on the subject.

In 1999 he joined InfoMine Inc. and founded Edumine to provide online professional development and training to the global mining community. Up to his retirement in 2017, he focused on promoting online learning as an effective platform for global dissemination of mining expertise in collaboration with industry and academia. Edumine is now the world's largest provider of online professional development and training for mining.

In 2015, CIM awarded Simon Houlding the Vale Medal for Meritorious Contributions to Mining. In 2018, he received the CIM Robert Elver Award for the Most Significant Contribution to the Mineral Economics Field.