arXiv AI By Xiaoyu Tao, Mingyue Cheng, Jiahao Wang, Yitong Zhou, Qingyang Mao, Yimin Dou, Qi Liu, Shijin Wang, Enhong Chen

GeoDecider: An Evidence-Grounded Agent for Geological Interpretation via Deliberative Reasoning

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arXiv:2605. 03383v2 Announce Type: replace Abstract: Geological interpretation infers subsurface properties and structures from indirect geophysical observations.

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arXiv Machine Learning
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Generative inversion for early ranking of competing geologic interpretations

The paper introduces a workflow that ranks competing geological interpretations by converting them into spatial priors and assessing their consistency with hydraulic‑head observations. Using a text‑to‑image model to generate 1600 geologic images per interpretation, a variational autoencoder encodes them, and a supervised inverse network maps head data into this latent space, producing log‑conductivity fields for flow simulation. The method is validated on a synthetic Johansen Formation benchmark and applied to two conceptual models of the Culebra Dolomite, yielding compatibility scores that align with independent evidence.

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arXiv AI
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MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity

MineTRACE is a web-based system that provides evidence‑grounded exploration for eight minerals (Cu, Au, Ni, W, Sn, Co, Ta, Mn). It allows users to view prospectivity maps, query specific locations or regions, inspect supporting evidence, and interact via natural language. The system uses a transparent expert tree that integrates heterogeneous geochemical, geophysical, and geological data to produce interpretable prospectivity scores, achieving spatial AUC values up to 0.917.

By Yiran Zhang, Jinwen Liu, Daniel Su, Yisu Chen, Qiang Sun, Chris Gonzalez, Eun-Jung Holden, Marco Fiorentini, Wei Liu, Yihao Ding
arXiv AI
Jun 30

Geo-Expert: Towards Expert-Level Geological Reasoning via Parameter-Efficient Fine-Tuning

arXiv:2605. 24844v2 Announce Type: replace Abstract: While general-purpose Large Language Models (LLMs) applied to Geology often hallucinate when reasoning about subsurface structures and deep-time evolution, current AI in Earth sciences predominantly targets surface remote sensing and GIS.

By Chenyou Guo, Zongqi Liu, Yizhou Zhang, Zhaorui Jiang, Ze Liu