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China launches AI-powered geological mapping and mineral exploration systems
6+ hour, 43+ min ago (438+ words) View all posts by Li Menghan → The two systems — AI-GeoMapping and AI-OreSeeking — were released by the China Geological Survey of the Ministry of Natural Resources at the 28th China Mining Conference and Exhibition in Tianjin, as the country pushes to secure…...
Applied Sciences, Vol. 16, Pages 9094: 3D Geological Modeling Using Geostatistical, Deterministic, and Artificial Intelligence Algorithms: A Comparative Analysis for Delineating Mineralized Zones
16+ hour, 53+ min ago (347+ words) The delineation of mineralized zones within deposits is inherently associated with geological uncertainty, directly impacting resource-reserve estimation and eventual extraction. This study presents a comparative analysis of three geological modeling techniques, including Indicator Kriging (IK), Nearest Neighbor (NN), and Multilayer…...
Mastering Spatial Interpolation: Spatial Machine Learning
15+ hour, 58+ min ago (18+ words) Benchmark Random Forest, XGBoost, SVR and neural networks for spatial interpolation, combining coordinates with environmental features in Python....
Mineral exploration gets artificial intelligence boost
2+ day, 6+ hour ago (407+ words) China unveiled geological mapping and mineral exploration systems powered by artificial intelligence technologies on Friday, marking a shift from decades of expert-driven fieldwork to more accurate, comprehensive and efficient data — and algorithm-based predictions. The two systems — AI-GeoMapping and AI-OreSeeking — were…...
AI Hybrid Model Predicts Coal Mine Gas Extraction With Near-Perfect
3+ day, 8+ hour ago (97+ words) Coal remains a cornerstone of the global energy supply even as renewables expand, and its extraction carries a hidden prize: methane, the main component of coal mine gas, which is simultaneously a potent greenhouse gas and a clean-burning fuel. A…...
AspenTech on targeted AI in mining: practical deployment lessons for engineers | Geomechanics.io News
4+ day, 7+ hour ago (304+ words) AspenTech on targeted AI in mining: practical deployment lessons for engineers Geomechanics.io AspenTech on targeted AI in mining: practical deployment lessons for engineers Reviewed by Tom Sullivan Targeted AI deployments in mining are shifting from broad “digital transformation” to…...
New Framework Finds Unexpected Order Inside Amorphous Materials
4+ day, 11+ hour ago (327+ words) Scientific discovery often begins with identifying patterns to help navigate an otherwise complicated world. For decades, physicists have relied on the precise, repeating atomic structures within crystals to map how electrons move and to calculate their quantum energy states. However,…...
Super-Resolution Carbonate Rock Image Beyond Instrument Limitations
4+ day, 22+ hour ago (200+ words) JPT Homepage Super-Resolution Carbonate Rock Image Beyond Instrument Limitations Imaging carbonate rocks at high resolution without losing scale has long been a challenge. A novel framework is introduced that enables accurate super-resolution and extrapolation of carbonate rock images, enhancing micro-CT…...
Applied Sciences, Vol. 16, Pages 8920: Machine Learning Based on Hybrid Optimization Algorithm for the Prediction and Risk Assessment of Rock Tunnel Lining Displacement
5+ day, 17+ hour ago (433+ words) Accurate prediction of tunnel vault displacement and reliable assessment of deformation risk are essential for tunnel safety management under complex geological conditions. This study develops an integrated data-driven framework combining machine-learning prediction, metaheuristic hyperparameter optimization, statistical model comparison, and uncertainty-informed…...
AI could improve in-situ recovery of critical minerals
6+ day, 22+ hour ago (39+ words) Mining Technology US research combines physics and chemistry to predict how fluids and reagents move and react as they pass through heterogeneous rock. With a free Mining Technology profile, you can:...