Resource Geoscience
Implicit geological modelling, kriging, conditional simulation, and grade–tonnage reporting over logged drillholes.
A mine is a geoscience problem before it is anything else. We bring resource modelling, ground engineering, mine water, remote sensing, and spatial operations onto one governed platform — so every number a decision rests on can be traced back to the record that produced it.
The mine lifecycle
Exploration, drilling, resource modelling, ground engineering, mine water, and operations are the same geoscience problem seen at different stages — so they share one governed dataset instead of six disconnected packages.
We combine
Resource geoscience, certified compute, ground engineering, mine water, AI, and enterprise GIS — brought together so technical teams decide faster and defend the result afterwards.
Implicit geological modelling, kriging, conditional simulation, and grade–tonnage reporting over logged drillholes.
A governed numerical foundation for geostatistics and implicit modelling — deterministic, content-addressed, and reproducible by construction.
Boreholes, CPT, laboratory data, cross sections, 3D ground models, and hazard registers behind pit slopes, tailings, and foundations.
Dewatering and monitoring bores, IoT loggers, water levels and quality, recharge screening, and water-balance evidence.
Governed AI agents and assistants that run reviewable, tool-based workflows across the platform.
Browser-based enterprise GIS with satellite and historical imagery, change detection, and Google Earth Engine analysis over the whole lease.
Mining first, not mining only
The disciplines a mine runs on are the same ones water authorities, ground engineers, infrastructure owners, and government teams need. Mining leads the platform; these sectors inherit it.
One platform, six modules
Each module is a focused application in its own right — and they share one governed data foundation, one map, one certified compute layer, and one AI layer.
How it works
Drilling and monitoring data is captured and governed once, worked by the modules that need it, computed deterministically, and turned into deliverables that stay traceable to source.
Data Hub keeps drillholes, bores, projects, imports, and audit trails governed and accountable for every module.
Resource, geotechnical, mine water, enterprise GIS, and field modules work the same records for their own workflows.
Geostatistics runs on a deterministic, content-addressed foundation; AI agents run reviewable, tool-based workflows on top.
Block models, sections, grade–tonnage reports, dashboards, and maps come out the other side — traceable to source.
Enterprise credibility
Mining decisions carry consequences, so we position AI as a governed layer on top of real geoscience operations — drillholes, block models, ground records, monitoring, imagery, and a provenance trail a reviewer can actually check.
Review Architecture & SecurityThe same job returns the same result identity, and every artifact records the kernel, inputs, parameters, actor, and toolchain behind it.
Resource, ground, water, and spatial modules share a governed data foundation instead of living in disconnected desktop packages.
Screens show actual block models, grade shells, drillhole traces, logs, cross sections, monitoring, imagery, and reports.
Services & delivery
Beyond the platform, SpatialTechSolutions helps mining and geoscience organizations design, modernize, and operationalize their spatial and subsurface systems.
Knowledge & Insights
Explore customer workflows, blog articles, and newsletter updates for teams evaluating how mining geoscience gets modernized.
Request demo
Request a tailored walkthrough across the mine lifecycle — drillholes, geological modelling, resource estimation, ground engineering, mine water, and the provenance record behind all of it.