MineTRACE System Offers Evidence-Grounded Mineral Exploration

Yiran Zhang, Jinwen Liu, Daniel Su, Yisu Chen, Qiang Sun, Chris Gonzalez, Eun-Jung Holden, Marco Fiorentini, Wei Liu, Yihao Ding· September 3, 2026 View original

Key takeaways

  • MineTRACE provides transparent, evidence-grounded mineral prospectivity maps and scores.
  • It integrates diverse geoscience data using an interpretable expert tree.
  • A conversational assistant explains findings in natural language.
  • The system improves efficiency and transparency in mineral exploration.

Who benefits

MiningGeologyNatural ResourcesEnvironmental Consulting

Summary

MineTRACE is a web-based interactive reasoning system that provides transparent, evidence-grounded prospectivity maps and scores for eight mineral commodities. It integrates heterogeneous geoscience data and uses a conversational assistant to explain findings, enhancing efficiency and transparency in mineral exploration.

Mineral exploration traditionally involves synthesizing diverse geochemical, geophysical, and geological data, often relying on systems that provide opaque scores or heatmaps without clear explanations. To address this lack of transparency, a new web-based system called MineTRACE has been developed. This system offers evidence-grounded exploration capabilities for eight key commodities: copper, gold, nickel, tungsten, tin, cobalt, tantalum, and manganese. MineTRACE allows users to interactively explore prospectivity maps, query specific locations or regions, and inspect the underlying supporting evidence. A natural language conversational assistant further enhances usability by retrieving scores and evidence from the analysis pipeline and presenting them in an understandable format. The system's core is a transparent expert tree, which combines multi-source evidence based on geological knowledge and known deposits to generate interpretable prospectivity scores. The scoring mechanism achieves high spatial AUC values, up to 0.917, across various test scenarios. End-to-end evaluations confirm the accuracy of queries and the grounding of responses. By making public geoscience data more accessible, interpretable, and verifiable, MineTRACE aims to support more efficient and transparent mineral exploration processes.

Why it matters

Professionals in mineral exploration can leverage MineTRACE to make more informed, transparent, and efficient decisions by accessing and interpreting complex geoscience data with clear evidence.

How to implement this in your domain

  1. 1Explore the MineTRACE system or similar evidence-grounded AI tools for mineral prospectivity.
  2. 2Integrate transparent AI-driven insights into geological survey and exploration workflows.
  3. 3Train geologists and exploration teams on using interactive AI systems for data interpretation.
  4. 4Pilot the system on specific exploration projects to assess its impact on decision-making and efficiency.

Original post by Yiran Zhang, Jinwen Liu, Daniel Su, Yisu Chen, Qiang Sun, Chris Gonzalez, Eun-Jung Holden, Marco Fiorentini, Wei Liu, Yihao Ding

"arXiv:2609.02060v1 Announce Type: new Abstract: Mineral exploration requires integrating heterogeneous geochemical, geophysical, and geological evidence, yet existing prospectivity systems often provide only opaque scores or heatmaps. We present MineTRACE, a web-based system for…"

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Originally posted by Yiran Zhang, Jinwen Liu, Daniel Su, Yisu Chen, Qiang Sun, Chris Gonzalez, Eun-Jung Holden, Marco Fiorentini, Wei Liu, Yihao Ding on X · view source

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