Technical Framework
The Deep-Explor® Multi-Modal AI Prospecting Solution is built on nonlinear systems cybernetics as its core framework, treating the metallogenic system as an open, dynamic geological system for the first time. It fuses multi-modal heterogeneous data to construct geological process proxy variables, and applies a Physics-Informed Deep Operator Network (Physics-Informed DeepONet) for joint inversion and feature extraction.
Data Fusion System
| Data Category | Specific Data Sources |
|---|---|
| Satellite Remote Sensing | Multispectral, hyperspectral, InSAR, DEM, thermal infrared |
| Geophysical Data | Gravity, magnetic, electrical, seismic, radiometric |
| Geochemical Data | Stream sediments, soil, rock, isotopes |
| Geological Structure | Geological maps, structural elements, borehole logs |
| Lithological Interpretation | Lithological units, alteration zones, mineralization indicators |
Technical Workflow
The diagram below illustrates the complete pipeline from multi-source data ingestion to application output:
- Multi-Source Data Ingestion — Integrates multi-source data including satellite remote sensing, geophysics, geochemistry, geological structure, and lithological interpretation
- Unified Digital Representation — Processes multi-source data with varying formats, scales, and noise patterns into a unified high-dimensional digital representation
- End-to-End AI Analysis — Applies Physics-Informed DeepONet for joint inversion and feature extraction, with AI driving the entire prospecting decision process
- Probability Distribution Output — Outputs mineralization / petroleum probability distribution predictions, enabling probability prediction for shallow and deep concealed ore bodies
Technical Advantages
- End-to-End AI-Driven — AI leads the complete prospecting decision chain from data ingestion to result output
- Multi-Mineral Applicability — Suitable for metals, non-metals, oil & gas, and other resource types
- Large-Area Exploration — Suitable for target delineation across large exploration areas, with no area limit
- Precise Prediction — Achieves high-precision mineralization probability distribution prediction for concealed ore bodies through joint inversion and feature extraction