Visualising 2D and 3D Drillhole Assay Data with Geocluster
Drill hole visualization in Geocluster, step by step: join collars to assay data, build a 3D voxel model, slice it, and draw a 2D view with the AI agent.

Drill hole visualization in Geocluster, step by step: join collars to assay data, build a 3D voxel model, slice it, and draw a 2D view with the AI agent.

Will AI replace geologists? Discover what AI automates in exploration today, which tasks stay with geologists, and what workforce data reveals.

Core logging software and AI can standardise inconsistent lithology logs into one dataset. See what the methods do, where they fail and how to check them.

Cross section geology explained: how to build a section from map and drillhole data, then check samples and assays against mapped structures.

Geochemical data clustering explained: how K-means, DBSCAN, and PCA partition assay data, when each method fits, and how to validate exploration clusters.

How to run pdf table extraction on assay and drillhole tables from geological reports: tools compared, scanned versus digital PDFs, and verification.

What data provenance means for geological data, what metadata to record for every assay and interpretation, and how to keep measurements traceable.

Geochemical anomaly detection methods compared: z-score, median absolute deviation and background ratio, with when to use each and how to check results.

A step-by-step guide to verify historical drilling data: database checks, re-assaying, density, logging and what to record about every change.

What a detection limit means in geochemical assays, why values fall below it, and how geologists handle below-detection data before analysis.