Look-Ahead 3D DFN Model

The look-ahead 3D DFN module generates forward-looking fracture network models ahead of the excavation face for design-ready excavation planning and risk mitigation.

Using inversion, Bayesian inference, and machine-learning–based modeling, it constructs constrained DFN volumes that highlight high-fracture zones, water-bearing features, and potential weak blocks.

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Key Advantages

Builds 3D DFN models constrained by face mapping, core logging and regional structural data instead of generic stochastic assumptions.
Forecasts fracture intensity, orientation and connectivity ahead of the face to support tactical planning and support design.
Identifies potential water-bearing zones, weak blocks and high-risk structures before they are intersected.
Enables scenario-based DFN simulations for alternative excavation strategies, support schemes and drainage concepts.
Provides DFN outputs ready for numerical modelling tools (hydrogeology, geomechanics, flow and transport).

Solving Industry Limitations

Conventional DFN models are often poorly constrained by local mapping, leading to large uncertainty in fracture conditions ahead of the face.
Hazard zones such as water-bearing structures or weak wedges are only discovered at the face, forcing reactive rather than proactive mitigation.
Support and excavation designs are difficult to optimise without a volumetric view of fracture networks around the opening.
Scenario testing of different advance rates, headings or support schemes is time-consuming with manual workflows.
Fragmented data between mapping, logging and numerical models slows down decision-making and knowledge transfer between teams.