The real bottleneck was data. Mine sites are often in remote locations. When a geologist in a field office needed to access a dataset stored at headquarters, they often relied on Virtual Private Networks (VPNs) that were notoriously slow and unstable. Opening a massive block model over a laggy connection was an exercise in frustration.
Cloud computing offers an alternative: hosting Surpac on virtual machines (VMs) or streamed desktops, with data residing in central object storage. This paper systematically evaluates the feasibility and best practices for “Surpac in the cloud.” surpac on the cloud
The transition to the cloud is not just about convenience; it’s about integration. Surpac on the cloud can more easily talk to other systems—ERP software, environmental monitoring dashboards, and automation fleets. The real bottleneck was data
Traditionally, running Surpac effectively required a significant investment in hardware. Engineers needed high-spec laptops or towers with dedicated graphics cards and substantial RAM. But the hardware cost was just the tip of the iceberg. Opening a massive block model over a laggy
For decades, the mining industry has been defined by heavy machinery, deep excavation, and heavier data files. But today, the heaviest lifting in geological modeling isn’t happening in a pit—it’s happening in server farms hundreds of miles away.