Solutions
Satellite-based remote non-invasive geological exploration — precise detection up to 2,000m for solid minerals and 8,000m for oil & gas
Multi-Modal AI Prospecting Solution
Built on a nonlinear systems cybernetics framework, this technology treats metallogenic systems as open dynamic geological systems. By fusing multi-modal heterogeneous data to construct geological process proxy variables and applying Physics-Informed DeepONet for joint inversion and feature extraction, AI drives the entire prospecting decision-making process, enabling probability distribution prediction of shallow/deep concealed ore bodies. Suitable for multi-mineral and large-area exploration target delineation.
- Fuses multi-source data including satellite RS, geophysics, geochemistry, geological structure, and lithological interpretation.
- Processes data with varying formats, scales, and noise patterns, constructing unified high-dimensional digital representations for AI model analysis.
- Outputs mineralization/petroleum probability distribution predictions.
Virtual Drilling
Based on multi-modal heterogeneous data AI mineralization prediction zones, virtual drilling technology detects high-potential areas using a grid distribution approach. Virtual drilling integrates targeted ultra-weak NMR and intelligent drilling layout algorithms, constructing a smart exploration closed-loop of 'simulate first, verify later'. Single-pixel virtual borehole tests extract mineral spectral features, and the POMDP-MCTS decision model predicts single-pixel ore discovery probability. Combined with AI inversion of anomaly distribution, tens of thousands of virtual drilling simulations are completed in-computer, ultimately outputting anomaly target interpretation results.
- Builds a 'spectral fingerprint' library of mineral element/compound samples, and uses targeted technology to detect and interpret target mineral signals at candidate drill positions in a laboratory setting.
- Builds POMDP-MCTS algorithm; through AI inversion, completes ore discovery probability prediction for candidate drill positions.
- Outputs Top-N recommended drill holes; after physical drilling verification, data is fed back for rolling optimization, forming a closed-loop intelligent exploration process.
Full-Process Resource Exploration Solution
Multi-source data acquisition → multi-modal heterogeneous data fusion & feature extraction → mineralization probability distribution output → targeted NMR detection & interpretation → deep target identification & positioning → field verification data feedback for optimization, forming a closed exploration loop.
- Anomaly target contour and coordinate data
- Mineral resource burial depth range
- Resource radiation intensity: I = W · V · G / D
Service Scenarios
Covers new resource assessment, concealed ore vein discovery, and reserve enhancement/production increase for existing mines; applicable to large-area exploration across multiple mineral types.
- Solid minerals (metals, non-metals)
- Energy resources (oil, natural gas)
- Groundwater (geothermal) resources