Digital subsurface solutions for hard rock mining

Driving confident mining decisions through integrated digital subsurface workflows

We bring decades of subsurface experience from oil and gas into hard‑rock mining, enabling faster, more reliable resource characterization, improved mine planning, and reduced operational risk.

By integrating multi‑physics data, drilling, logging, and advanced digital modeling on an open platform, we helps mining operators move from exploration to production with greater confidence and speed.

• Hard‑rock mineral exploration and resource definition (iron ore, copper, gold, nickel, and lithium).
• Resource range assessment and uncertainty quantification.
• Deep and complex orebody characterization.
• Mine dewatering and water management.
• Geotechnical stability analysis (pit walls, tunnels, tailings).
• In‑situ recovery (ISR) and hybrid mining methods where applicable.

• Integrated geology, geophysics, drilling, logging, and assay data.
• Multi‑physics subsurface imaging (seismic, gravity, magnetics, and electromagnetic [EM]).
• Advanced geological and block modeling.
• Machine‑learning‑based analytics for uncertainty and value drivers.
• Support for directional drilling and complex borehole trajectories.
• Open digital ecosystem supporting mining and energy workflows

Our hard‑rock mining offering builds on proven technologies such as Petrel™ subsurface software, Techlog™ wellbore software, the Intersect™ reservoir simulator, Eclipse™ reservoir simulator, and the Delfi™ digital platform, adapted to mining workflows. The approach has been applied across major mining engagements worldwide, including iron ore, potash, copper, gold, and critical minerals, with demonstrated improvements in imaging quality, resource confidence, and time to decision.

Traditional mining workflows are often fragmented, manual, and slow, resulting in high uncertainty and limited scenario evaluation. Our digital subsurface workflows automate data integration, enable sophisticated uncertainty modeling, and continuously update models as new data becomes available. Using leading edge subsurface technologies and machine learning (ML)-driven predictive uncertainty modeling, they generate multiple case scenarios. This transforms static studies into living models that directly support drill planning, mine design, and operational decisions.