EAE5069 - 3D data analytics, geological and resource modelling - 2019

6 points, SCA Band 2, 0.125 EFTSL

Postgraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.



Organisational Unit

School of Earth, Atmosphere and Environment

Chief examiner(s)

To be advised


Dr Laurent Ailleres

Not offered in 2019


Enrolment in the Master of Science




The unit aims to teach the skills required to visualise and analyse (multivariate statistics) geological, geochemical and geophysical data in 3D, build 3D geological models, build property models (similar to resource estimation) and visualise and extract information from digital outcrop models. The units will expose the students to industry-standard software packages such as R, Orange, Gocad, Leapfrog Geo, Geomodeller, Geoscience Analyst.


On completion of this unit, students will be able to:

  1. Import and visualise exploration data in industry-standard 3D modelling packages (LeapFrog Geo, Gocad, Geomodeller, Geoscience Analyst)
  2. Analyse assays and geochemical data using deep learning methods (multivariate statistics) in R and/or Orange
  3. Understand the concept of implicit modelling
  4. Build 3D geological models
  5. Perform geologically constrained interpolation of data and indicator data (derived from classification through deep learning).


Practical work: 60%

Report: 40%

This unit is offered at both Level 4 and Level 5, differentiated by the level of the assessment. Students enrolled in EAE5069 will be expected to demonstrate a higher level of learning in this subject than those enrolled in EAE4069. The assignments in this unit will use some common items from the EAE4069 assessment tasks, in combination with several higher level questions and tasks.

Workload requirements

  • 1.5-hours of lectures
  • 3-hours of practical's and
  • 1.5-hours of independent study per week

See also Unit timetable information

This unit applies to the following area(s) of study

Master of Science