Numerical solutions to inform high-value decisions

We do it all – from data collection to numerical modelling and
everything in between.

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Our model results are an end point in the process of data collection, geotechnical domaining, statistical analysis, appropriate rock mass model parameters and yield mechanism selection. It is a synthesis of all the data we collect to forecast rock mass performance and is then the starting point for calibration by taking multiple rock mass observations and assessing against model stages.

Numerical Solutions for Informed High Value Decisions - MineGeoTech

We promote the use of 3D Geotechnical Modelling

Data Collection

Rock mass logging by domains, intact strength properties, structural orientations from acoustic televiewer and hydrogeological investigations.

Numerical Modelling - rock testing - MineGeoTech
Numerical Modelling - ATV OTV - MineGeoTech

Data Analysis

Statistical description of geotechnical domains for probabilistic stability analysis.

Numerical Model

Incorporate the collected data with the mine design voids and loading conditions e.g. seismic/blasting, ground water and stress.

Numerical Modelling - Boxplot - MineGeoTech

Underground and Surface Mining Applications

Our data collection and analysis processes can be applied to surface and/or underground operations.


Numerical Modelling - Design Output - MineGeoTech


  • Geology and geotechnical domains
  • Faults
  • Foliation
  • Bedding
  • Sequenced mine voids
  • Rock mass classification parameters
  • In-situ stress field
  • Intact strength
  • Ground water


  • Life of mine sequencing recommendations
  • Ground support scheme requirements
  • Decline stand-off
  • Fault slip analysis
  • Rock mass damage
  • Pillar stability


Numerical Modelling - Open Pit Design - MineGeoTech


  • Soil mechanics
  • Hoek-Brown Criterion
  • Faults
  • Ground water
  • Earthquake loading
  • Anisotropic failure models
  • Mine void instances


  • Full 3D slope stability analysis providing factor of safety and probability of failure

Overall Outputs

With an integrated stream of data from geotechnical core logging, and statistical distribution of input parameters, we use the Hoek-Brown criterion to define the rock mass strength using triaxial strength data downrated by the Geological Strength Index (GSI). This culminates with 3D inelastic finite element numerical modelling.