Case Study: Top-Ten Iron Producing Company accelerates weekly resource modeling with Geovariances' Isatis.neo automation

Geovariances individualizes geological and grade modeling to boost productivity and reduce ore/waste misclassification

Geovariances worked with Top-Ten Iron Producing Company, a top-ten iron producer looking to move from monthly to weekly resource model updates so it could make faster decisions about mined-material destination while reducing delay and manual effort. The company needed a way to refresh geological and grade models more frequently without requiring the mine team to repeatedly reparameterize and rerun the workflow.

Geovariances implemented automated routines using Isatis.neo batch procedures and Python, combining data importing, quality control, lithology classification, and grade estimation on a high-resolution block model. The new workflow was tested against the company’s monthly approach and delivered faster, more accurate models that matched production results, while a simple custom interface was developed to make the process usable with only a few clicks.