SkillsLib.ai

Ore Control Analysis & Grade Management

Analyze ore grades and quality control with geological data

3.3(3 reviews)
100+ downloads
Updated Sep 2026

What You Can Do

You can automatically process orebody geometry data, estimate ore grades from assay results, and implement quality control workflows. This skill helps you identify grade anomalies, interpolate spatial distributions, and generate comprehensive quality reports that ensure consistent ore extraction standards.

Features

Orebody Geometry Analysis

Analyze 3D spatial relationships and structural characteristics of ore zones using geological survey data

Grade Estimation & Interpolation

Apply statistical methods to estimate ore grades across unmeasured zones based on assay sample data

Assay Data Processing

Clean, validate, and organize assay results from multiple sources with automatic error detection

Quality Control Workflows

Define and monitor QC protocols including duplicate sampling, blank analysis, and reference standards

Anomaly Detection

Automatically identify unexpected grade variations, contamination, or sampling errors in ore data

Resource Calculation

Compute tonnage and metal content estimates using interpolated grades and block density data

Report Generation

Create professional quality control and grade management reports with visualizations and summaries

Example Output

Grade Distribution Analysis

  • Mean Grade: 2.45 g/t Au
  • Grade Range: 0.8–6.2 g/t Au
  • Anomalies Detected: 3 zones (flagged for re-assay)
  • QC Pass Rate: 94.2%

Orebody Geometry Report

  • Main ore zone dip: 42° NE
  • Thickness variation: 4.5–18m
  • Spatial continuity: Moderate to high in NW direction
  • Recommended mining blocks: D4-D7 (priority extraction)

Quality Control Summary

  • Duplicate Analysis: ±8% relative difference (within limits)
  • Blank Samples: All < 0.1 g/t (pass)
  • Reference Standards: 96.5% recovery (acceptable)
  • Recommendation: Approve assay batch for resource calculation

What's Included

  • Assay Data Templates: Excel templates formatted for direct import with sample location, depth, and element concentration fields
  • Grade Interpolation Workflows: Step-by-step processes for kriging, inverse distance weighting, and nearest neighbor estimation methods
  • Quality Control Checklists: Comprehensive QC protocols covering duplicate sampling, standards analysis, and contamination screening
  • Report Templates: Professional markdown and table-based templates for grade reports, QC summaries, and anomaly notifications
  • Validation Rules: Automated checks for data completeness, spatial plausibility, and geological reasonableness

Who It's For

  • Mining Engineers
  • Exploration Geologists
  • Grade Controllers & QA Managers
  • Resource Estimation Specialists
  • Mine Planning Engineers

Best For

  • Daily grade monitoring and QC validation
  • Resource estimation and block modeling preparation
  • Assay result review and anomaly detection
  • Orebody geometry and continuity assessment
  • Quality control report generation

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