How it works

From raw drillhole database to a signed resource report — in one afternoon.

SRES is opinionated on purpose. Every step in the workflow is a first-class module that hands its outputs to the next, so nothing gets lost in translation between tools.

SRES · The Five-Step Loop
STEPS
0
One afternoon
ARTEFACTS
0+
PDF · DOCX · JSON
REPRODUCIBLE
0%
Every run
N
3D · Kriged
500 m
LGMGHG
Variogram · fit
R² 0.95
Range · 175 mSill · 0.71Nugget · 0.07
Classification
Measured43%
Indicated34%
Inferred23%
OK · 3.1 s per 100k blocks
The five-step loop

A defensible resource workflow, end to end.

Each step below can be executed in under an hour on a real project — even faster once the team has run through the loop once.

Step
01
Import your drillhole database

Upload Collar, Survey, Assay, Geology and (optionally) CRM / Blank / Duplicate CSVs. SRES auto-detects industry column aliases (BHID → hole_id, easting → x, from/to intervals, etc.) so most files map on the first try.

Outputs delivered
  • Validated tables with row counts and coverage stats.
  • Per-hole trace preview and lithology roll-up.
  • Auto-suggested EPSG, density defaults and cut-off ranges.
Step
02
Validate, QAQC and cleanse

Deep validation catches missing surveys, out-of-hole assays, geometry overlaps and negative depths before they contaminate a block model. QAQC analytics deliver control-chart envelopes on CRMs, blanks and duplicates.

Outputs delivered
  • Categorised issue log (error / warning / info) with affected hole IDs.
  • Precision, bias, HARD, top-cut recommendation and log-probability plots.
  • Data validation and QAQC PDF and JSON exports.
Step
03
Build the block model

Pick an interpolator — IDW, Nearest Neighbour or Ordinary Kriging — and let SRES compute a domained block model with composite lengths, variogram fitting and per-lithology density.

Outputs delivered
  • 3D block model with tonnage, grade and classification per block.
  • Grade-tonnage curves with a commodity-aware cut-off range.
  • Multiple 3D views: by grade, by lithology, ore only, waste only.
Step
04
Optimise the pit and stress-test economics

Run the floating-cone pit optimiser with your own price and cost assumptions. Sweep cut-off vs NPV, run price / cost / recovery sensitivity, and simulate Monte-Carlo NPV distributions.

Outputs delivered
  • Pit shell with ore, waste, strip ratio and NPV summary.
  • Cutoff-sensitivity, sensitivity report PDF and DOCX.
  • P10 / P50 / P90 Monte-Carlo simulation with histogram.
Step
05
Generate the Competent Person Report

Assemble a full CPR PDF (or DOCX) with cover, methodology, findings, sensitivity and appendices — with signature blocks and watermarked public share links.

Outputs delivered
  • JORC / NI 43-101 / SAMREC-aligned narrative and figures.
  • Public share URLs with expiry, view tracking and audit logs.
  • Per-borehole continuous logs bundled as a companion PDF.
Built for real teams

Who benefits — and how.

Resource geologists

Skip the CSV munging and legacy license servers — spend the day on domaining, variography and defensible classification.

Mine planners

Get pit shells, NPV, and sensitivity charts against your own commodity prices — with a live cut-off slider.

Competent Persons

Assemble sign-off-ready CPR PDFs with narrative, figures and watermarked share links in a few clicks.

Ready to see it live?

We will run the entire five-step loop on your data during a 45-minute session.

No slideware. No pre-canned demos. Just your own drillhole database, on the real product.

Book a session