Geochemical Data Analysis & Ore-Type Classification
Analyze geochemical data and classify ore types with AI precision
What You Can Do
Upload your geochemical datasets—including elemental concentrations, isotope ratios, trace element profiles, or alteration mineralogy—and receive instant ore-type classifications tied to known deposit models. You get detailed interpretations of geochemical signatures, assessment of metallogenic potential, and actionable insights for exploration and resource estimation.
Features
Automatically classify samples against major deposit models (porphyry, VMS, skarn, epithermal, IOCG, lithium-rich brines) with confidence scores and reasoning.
Interpret binary and ternary element ratios (e.g., Zn/Pb, Cu/Mo, rare earth element patterns) to identify geochemical signatures specific to deposit types.
Evaluate the behavior and significance of trace elements (Ba, Pb, Zn, Ag, REE) in the context of hydrothermal alteration and ore-forming processes.
Analyze XRD or lithogeochemical proxies for alteration mineralogy (sericite, clay, chlorite, feldspar) and link them to deposit stage and ore potential.
Evaluate REE patterns (Ce anomalies, HREE enrichment, fractionation) to infer magmatic, hydrothermal, or supergene processes.
Assess sampling strategy, analytical precision, detection limits; flag outliers, contamination risks, or anomalous data patterns.
Compile interpretive summaries with analysis of classification results, geochemical patterns, and exploration recommendations.
Example Output
Classification Result:
- Sample AU-23-045: Porphyry Copper (confidence 92%)
- Cu: 487 ppm, Mo: 12 ppm, Re: 0.8 ppm
- Cu/Mo ratio: 40.6 (typical range: 25–60)
- Interpretation: Magmatic-hydrothermal Cu enrichment consistent with hypogene porphyry; consider deep drilling.
REE Pattern Analysis:
- LREE-enriched with negative Ce anomaly (Ce/Ce*: 0.68)
- Suggests feldspar fractionation + magmatic contribution
- Inference: Calc-alkaline igneous source, possible porphyry environment
Data Quality Flag:
- Zn detection limit: 5 ppm (adequate for VMS screening)
- Pb: 2 samples exceed 1000 ppm—verify lab split duplicates
What's Included
- Interactive Element Ratio Tool: Quickly compute and interpret binary/ternary ratios with geochemical context and published reference ranges.
- Deposit Model Library: Access curated geochemical signatures, elemental ranges, and diagnostic ratios for 8+ major ore deposit classes.
- Quality Control Framework: Checklist and guidelines for validating analytical data, flagging contamination, and assessing sample representativeness.
- REE Normalization Converter: Convert raw REE data to chondrite- or CI-normalized values; identify anomalies and fractionation patterns.
- Interpretation Guides: Templates and decision trees for interpreting multi-element signatures and linking them to ore-forming processes.
Who It's For
- Exploration Geochemists
- Mining Engineers & Geologists
- Mineral Resource Consultants
- University Researchers & Students
- Metallurgists & Process Engineers
Best For
- Porphyry Copper & Molybdenum Exploration
- VMS (Volcanogenic Massive Sulfide) Targeting
- Skarn Deposit Assessment
- Lithium & Critical Mineral Exploration
- Geochemical QA/QC & Data Validation
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