Import composites from Core, upload an assay CSV, or a saved .orebit project to begin.
Composites
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Elements
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Domains
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Lithologies
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Next stepLoad or upload compositesConfirm data quality before statistics, top-cut and compositing decisions.
Goal: Prepare a traceable drillhole composite dataset for professional EDA and Resource estimation screening.
Scope: data QA, support regularisation, distribution review, top-cut candidates, geological control, and domain handoff. Final interpretation remains with the Competent Person.
Following Core? Your received rows are already on Data; you do not need to upload them again. This upload is also available for independent laboratory data or externally prepared tables. It does not repeat Core validation or Minimum Curvature desurvey. Supply reviewed coordinates for spatial work; use Core for raw collar/survey integration.
Multi-file: Upload collar.csv + assay.csv + litho.csv together; the system auto-merges by hole_id.
Privacy: All processing runs client-side. Data is never sent to a server.
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💡 Move data from Orebit Core:in Core use Project Manager → Export to produce a .orebit file, thenImport .orebit bundleabove. (Importing a CSV directly is also supported.)
Recognized Column Formats
Field
Aliases (auto-detected)
Required?
hole_id
HoleID, BHID, DHID, HOLE, hole
✓
from_m
FROM, from, From, depth_from, fr
✓
to_m
TO, to, To, depth_to
✓
au_gpt
AU, Au, au_ppm, AU_GPT, gold
✓ (or the primary commodity)
cu_pct
CU, Cu, cu_ppm, copper
optional
lithology
LITH, lith, rock_type, geology
optional (warns if missing)
midx, midy, midz
x, y, z, easting, northing, rl, elevation
optional (for spatial plots)
density, recovery_pct, rqd_pct
SG, density_t/m3, rec, RQD
optional (QA/QC)
Reset
Restore the synthetic 350-hole nickel laterite intervals, with limonite/saprolite domains and missing grades preserved.
Data — Well Log & Samples
Core handoff and CSV import open this row-review screen so you can inspect the received population before EDA. The Dashboard tab provides the overview. You do not need to upload the same data a second time.
Embedded dataset: synthetic nickel laterite sample (output of Core).
Welllog — Multi-element Trace
Per-hole multi-element subplot. Colour-coded bars are grades; side-by-side bars let you compare mineralization zoning across elements. The lithology colour overlay sits to the left of each track.
Data Table
Bivariate Analysis — Correlation & Scatter Matrix
Correlation heatmap + pairwise scatter plots to identify relationships between numeric variables. High correlation → redundancy or mineral assemblage; low correlation → independent processes.
Multivariate Analysis — PCA & Domain Boxplots
Principal Component Analysis (PCA) reduces dimensionality. PC1 is usually grade-dominated; PC2 can reveal secondary processes (alteration, litho control). Boxplot by domain validates domain definitions.
Spacing & Density Analysis
Spacing is a sampling diagnostic. Compare it with independently modelled continuity, geology and QA/QC; a spacing rule alone does not classify Mineral Resources.
Compositing — Weighted by Length
Compositing standardizes assay intervals to a fixed length. Method: length-weighted average. Choose support length using the sampling intervals and geological boundaries; the initial 1 m value is a starting point for review.
EDA Stats — Comprehensive Distribution Analysis
Review variability, outliers, support and geological context before choosing a treatment. CV or a log-normal appearance alone does not justify capping or a transform.
Optional: treatment proposals, metal contribution and declustering
Review suggestions
Screens every element and proposes caps to review; measurements do not change until you explicitly apply a treatment.
Top-Cut Decision
Decision panel: review CV-based P95/P98/P99 candidates, affected samples, metal loss, geological outliers, and domain consistency. No percentile is automatically approved.
Grade by Lithology
Per-lithology statistics → identify rock types hosting mineralization. Prerequisite for geological domain modeling.
Domain Modeling — Combined Geological + Grade
Domain MUST be defined by geological boundaries + grade continuity, NOT grade shells alone.
QAQC — Quality Control
Standards (CRM), blanks and duplicates check lab accuracy and precision independently of geology. The KCMI checklist on the Report tab pulls its QA/QC status from this tab.
Report & Working Commentary
Export Options
A multi-page PDF: summary, visualizations, and a standards-referenced working checklist.
Explain your grouping, cap and composite choices. A domain cutoff groups samples; it does not establish an economic Resource cutoff. The PDF records the actual controls separately.
Data exports (CSV)
The three exports most people want, gathered here because this is where you come to export. Each also sits on the tab that produces it.
More on their own tabs: the litho × element matrix and per-lithology statistics (Litho), the top-cut candidate matrix (Top-Cut), the composite string and X,Y,Z files for 3D packages (Domain), and the compliance checklist below.
CPI Disclaimer
This output is not a final KCMI Table 1. The commentary must be reviewed and signed off by a CPI registered with PERHAPI/IAGI before it is published officially.
Standards-Referenced Working Commentary
Section 1: Sampling Techniques and Data
Data Preview
First 10 rows of the composite dataset that will be exported to Resource.
Export History
Audit trail of every download this session (max 20). Persists in browser localStorage.
Step 1 of 6
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Glossary
Help & Technical Reference
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Sample Dataset — Thalanga VMS
Thalanga Volcanogenic Massive Sulphide (VMS) deposit — Charters Towers region, Queensland, Australia. Pb-Zn-Cu-Ag VMS host-rock dataset used as industry-standard training data for drillhole workflows.
Attribution: Geological Survey of Queensland, Department of Resources, Queensland Government.
Composite Method — Length-Weighted
Downhole compositing uses a length-weighted average. Interval is configurable from 0.5–10m (industry standard 1m for base/precious metals). Algorithm: for each composite bin, grade = Σ(grade_i × len_i) / Σ(len_i) across all samples overlapping the bin.
Note — declustering:Cell declustering for infill-drilling bias IS handled here (Decluster tab): regular grid cells, weight = 1/(samples per cell), grid defaults to 1.5× median NN distance. Limitations: single user-supplied cell size (no optimum sweep), no cell-origin offset.
Domain Assignment
Manual — pick the lithology codes that act as primary host rock. Auto-cluster — K-Means on (grade, lithology indicator) with user-defined k.
Domains must be assigned before exporting to Resource — it's a required column for variogram + estimation.
Top-Cut Matrix
The tool displays a matrix of metal-loss vs threshold (P95–P99.9). The final threshold is your call — the tool does not auto-suggest because top-cut decisions are contextual (deposit type, mineralization continuity).
Quick Workflow
Upload — master.csv from Stage 01 (or use the sample)
Composite — pick an interval (default 1m)
Domain — assign by lithology or auto-cluster
Export master CSV (Tab 11 Domain) for handoff to Stage 03
Privacy
Your project data is processed locally. Optional maps, Google Drive, and update checks may contact external services; see the privacy policy.
Support
Full documentation available at geosuite.orebit.id/docs. Visit orebit.id for updates and company info. For technical questions, see the Tour (? button) or Glossary for terminology.