GEOVIA Surpac Geostatistics Improve Gold Resource Estimation Accuracy

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MES

GEOVIA Surpac Geostatistics Improve Gold Resource Estimation Accuracy

Case study shows how Regis Resources uses Surpac geostatistical tools to reduce estimation time and increase confidence in block model validation.

Published

June 4, 2026

Read time

3 min read

Source

Regis Resources, a Western Australian gold producer, implemented upgraded geostatistical functions in GEOVIA Surpac for resource estimation. Key capabilities include declustering, swath plots, grade-tonnage curves, dynamic anisotropy, and multi-pass estimation. These tools replaced external macros, shortened validation cycles, and allowed variable cell sizing within a single model. The result is faster workflows and more reliable resource estimates across the Duketon operations.

Key takeaways

Declustering and swath plots now run inside Surpac, eliminating external macros and saving ~10 minutes per plot.

Dynamic anisotropy aligns search ellipsoids to folded or undulating mineralization trends using a user-defined DTM.

Grade-tonnage curves and basic statistics plots enable rapid cutoff analysis and uppercut determination.

Variable cell sizing and multi-pass estimation support deposits with differing drill density and mineralization thickness.

All listed geostatistical functions are also available in GEOVIA GEMS.

Market overview

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