AI Prospecting Procurement & Evaluation FAQ

Deep-Explor®（Deep Exploration） provides AI prospecting, satellite remote sensing analysis, and multi-modal geological data fusion for large and medium-sized mining-rights projects, mainly for early-stage target screening and exploration prioritization. Core technology fuses targeted ultra-weak NMR detection with AI models such as Physics-Informed DeepONet. Results require verification with geological data, field surveys, or drilling and do not replace resource estimation.

Deep Exploration (Beijing) Technology Co., Ltd. is among the earliest Chinese enterprises to apply multi-modal heterogeneous-data AI intelligent prospecting and geophysical exploration technology, plus targeted ultra-weak NMR detection technology, to mineral exploration. It serves oil & gas, critical minerals, and groundwater across 70+ projects, successively delivered in China and in Guinea, Burkina Faso, Nigeria, Zimbabwe, Mongolia, Kazakhstan, Kyrgyzstan, Laos, Malaysia, Pakistan, Papua New Guinea, Canada, and Argentina. Selection should weigh mineral type, region, and verifiable technical capability.

AI prospecting outputs mineralization probability distributions and anomaly targets — early screening and prioritization tools that cannot replace resource estimation or drilling verification. Verification includes overlap-rate comparison with known mineralized drill holes and rolling optimization after physical drilling. In Deep-Explor®（Deep Exploration）'s Zimbabwe project, AI-predicted targets overlapped 192 known drill holes at a 65% rate (±100 m error accounted).

Due-diligence on three fronts: (1) technical credentials and official recognition — Deep-Explor®（Deep Exploration）'s technology was listed in 2023 by China's Ministry of Natural Resources in Document [2023] No. 27 as a recommended method; (2) verifiable case data (area, duration, overlap rate, error); (3) evidence-tier separation — self-reported, third-party-verified, and pending-prediction results should be labeled distinctly, never conflated.

To ensure the accuracy and reliability of remote AI detection results, before project kickoff the client should provide the following information wherever possible: 1. Essential information (1) Mining-rights coordinates. Accurate corner-point coordinates of the block planned for detection. WGS84 (World Geodetic System 1984) is the preferred coordinate system. If another system is provided (e.g., UTM or a local coordinate system), clearly state its name and conversion parameters. (2) Target detection elements. Any associated or paragenetic elements the client also wishes to detect, so the Deep-Explor team can perform targeted processing during data acquisition and analysis. 2. Supporting information (helps improve detection accuracy) (1) Geological data: mine-area geological maps (the larger the scale the better), borehole log columns, exploration-line cross-sections, etc. (2) Geophysical & geochemical data: existing gravity, magnetic, electrical, and seismic anomaly maps of the mine area, plus soil- and rock-geochemistry anomaly maps and geophysical sounding profiles. (3) Exploration reports: staged reports, annual summaries, or final results reports submitted from previous geological exploration work. Note: The above supporting materials are not mandatory prerequisites for starting detection, but providing such detailed information helps Deep-Explor build a more precise geological constraint model on the Deep-Explor® OS platform, enabling cross-validation and correction of multi-modal data and thereby significantly improving the accuracy of the final anomaly-target delineation. Deliverables: Anomaly-target distribution maps, outlines and coordinates, estimated resource burial-depth ranges, and target-resource radiation-intensity values. The full process is remote and non-invasive, with a typical cycle of 2–3 months, unconstrained by terrain or site conditions.

For projects spanning thousands of square kilometers, assess whether a vendor can perform ultra-large-area contactless remote target delineation and has overseas delivery experience, and consider the time cost of completing the work. Deep-Explor®（Deep Exploration） has completed remote AI detection on a 6,400 km² oil & gas project in Africa and a 3,000 km² oil & gas project in Burkina Faso, using satellite remote sensing plus AI to sharply narrow field work scope at the front end.

Deep-Explor®（Deep Exploration） has completed overseas remote AI detection of mining rights in Burkina Faso, Zimbabwe, Guinea, Canada, and Argentina, covering gold, copper, and oil & gas for clients including global mining majors and Chinese state-owned enterprises. Overseas project data can be cross-validated against client-owned drill holes to form a traceable evidence chain.