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Orebit Resource

Variography → Kriging → Preliminary Confidence Screen → KCMI Handoff

Professional estimation screening Standards-referenced handoff workflow IDW + Ordinary Kriging + Nearest Neighbor 5-step workflow data not loaded
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Composites
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Elements
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Domains
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Blocks
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Next stepSet up the resource estimateChoose the element and domain before variography and block modelling.

Goal: Generate a quick, transparent resource-estimation insight from Assay composites.

Flow: Approved domain-tagged composites → Variography → Block model → OK estimate → IDW/NN diagnostics → Cross-validation → Preliminary confidence screen → Grade-tonnage → KCMI-style handoff.

Scope: Screening and handoff tool—not a replacement for mine-planning/geological modelling software or a Competent Person report.

Before reporting: Validate domain geometry, top-cut, anisotropy, density, cut-off, mining method, metallurgy, economic assumptions and RPE in specialist software.

Composite grade summary

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Domain summary

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Compute All Plots

Pre-render variography, block model, estimation, cross-val, swath, classification, grade-tonnage, 3D view & KCMI report. ~30-60s with progress indicator.

All tools reference
  1. 1. Dashboard — Pipeline overview, completeness checklist. Gate: workflow guide
  2. 2. Upload — Domain-tagged composite from Assay or custom CSV. Gate: parsed CSV + column mapping
  3. 3. Setup — Select element, domain, coordinate system, declustering. Gate: estimation config ready
  4. 4. Variography — Experimental + model fit (Spherical/Exponential/Gaussian). Gate: variogram model per direction
  5. 5. Block Model — Extent + block size XYZ + grid generator. Gate: 3D grid generated
  6. 6. Estimation — IDW + Ordinary Kriging + Nearest Neighbor in parallel. Gate: block grade model
  7. 7. Cross-Val — Leave-one-out — MAE / RMSE / R² scatter. Gate: unbiased estimate check
  8. 8. Swath — Mean grade per X/Y/Z slice for bias check. Gate: swath plot
  9. 9. Preliminary confidence — Computational screen. Gate: confidence classes (CP review final)
  10. 10. Grade-Tonnage — GT curve, cutoff sensitivity per domain. Gate: grade-tonnage curve
  11. 11. 3D View — Plotly volume rendering, slice planes, drill traces. Gate: 3D block model viewer
  12. 12. Handoff Report — Validation, estimation evidence, CP-review checklist. Gate: KCMI/JORC handoff report

Upload Data — Import Composite CSV

Following Assay? Inspect the received data here; no second upload is required. Standalone upload supports externally prepared composites with documented coordinates, units, support and domains. Import alone does not establish geological or QA/QC acceptance. Use Dashboard for the overview, then review Setup before estimation.

Click or drag & drop a CSV file here

Accepts composite CSV from Assay (Orebit Assay)

Your selected file is processed in this browser.

CSV format and source

CSV with a header row; column names match without case sensitivity. Estimation requires hole_id, from_m, to_m, midx, midy and midz; Variography also requires domain.

Export the Master CSV from Assay’s Domain stage after assigning domains to composite intervals.

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Required Column Schema

FieldAliases (auto-detected)Required?
hole_idHoleID, BHID, DHID, HOLE, hole✓
from_mFROM, from, From, depth_from, comp_from✓
to_mTO, to, To, depth_to, comp_to✓
midx, midy, midzx, y, z, easting, northing, rl, elevation✓ (for 3D estimation)
domainDOMAIN, zone, rock_type_code✓ (for variography)
au_gptAU, Au, au_ppm, goldoptional
cu_pct, pb_pct, zn_pct, fe_pctCu, Pb, Zn, Fe, copper, lead, zinc, ironoptional
densitydensity_t_m3, bd_tm3, bulk_densityoptional (QA/QC)

Use documented dry bulk density in t/m³ for tonnage. SG/specific gravity is dimensionless and is preserved as an auxiliary column; it is not automatically used as dry bulk density.

Reset

Restore the synthetic 350-hole nickel laterite intervals, with limonite/saprolite domains and missing grades preserved.

Estimation Setup

Select target element, domains to estimate, and declustering parameters. Review the defaults and change parameters when your geology requires it.

Variography Analysis

Experimental variogram + model fit per direction. Nugget ratio < 80% is considered healthy (Sinclair & Blackwell 2002).

Block Model Setup

Extent from data + block size XYZ. Rule of thumb: block size ≈ ¼–½ × nearest data spacing.

Block Grade Estimation

Three parallel methods: IDW (inverse distance weighted, p=2), Ordinary Kriging (variogram-based BLUE), NN (nearest neighbor for validation). Search ellipsoid default = 1.5× variogram range, widened for sparse drilling up to a 3× cap — see the radius/range ratio on the Estimation tab.

Cross-Validation

Leave-one-out validation. Target: R² > 0.4 for OK, slope ≈ 1.0, mean residual ≈ 0 (no global bias).

Swath Plot

Spatial bias validation. Drillhole grade vs estimate per X/Y/Z slice. Similar trends = unbiased; divergent = re-tune variogram/search.

Preliminary Confidence Class

Preliminary computational screening based on kriging variance, neighbor count, and distance to nearest composite. Cross-validation slope is shown as a global validation diagnostic. This is not a final JORC/KCMI classification; geological continuity, SOR, domains, modifying factors, and Competent Person review remain required.

Grade-Tonnage Decision Curve

Tonnage & mean grade sensitivity vs cutoff. Primary output for economic study (Stage 04 Mining Studies).

3D Block Model Viewer

Visualize blocks with color-coded grade + composite drillholes as lines. Filter by preliminary confidence screen or cutoff.

Resource Handoff Report

Handoff summary + variogram/validation evidence + preliminary confidence rationale. This is a KCMI-style working report, not a certified Mineral Resource statement.

Quick Insight / Handoff Checklist

Use this checklist before taking the estimate into specialist mining software.

This checklist records handoff readiness only. It does not certify a JORC/KCMI Mineral Resource.

Export Report

Blank = all estimated blocks. Enter a comparison cutoff explicitly. The current grade-tonnage confidence filter also applies.

Scope and assumptions

8-page PDF: cover, variogram, block model, grade estimation, swath validation, classification, cut-off sensitivity, and KCMI commentary.

Processing Log

Every estimation step applied this session (variography, block model, kriging, classification). Embedded in the PDF report so the reported numbers are always traceable.

Data Preview

First 10 rows of the block model / composite data that will be exported.

Export History

Audit trail of every download this session (max 20). Persists in browser localStorage.