(Including but not limited to the following topics)
Track 1: Geological exploration and geophysical techniques
Mineral resource exploration
Oil and gas geophysical exploration
Geophysical logging technology
Seismic exploration and imaging
Gravity, magnetic and electrical exploration methods
Electromagnetic exploration technology
Geochemical exploration
Remote sensing geology and alteration anomaly extraction
Three-dimensional geological modeling and visualization
Intelligent exploration technology and equipment
Application of artificial intelligence in geological exploration
Geospatial technology in resource exploration
Remote sensing and hyperspectral geological exploration
Geophysical survey and data interpretation
Artificial intelligence-driven resource prediction
Machine learning in geological analysis
Geological risk assessment and disaster prediction
Exploration seismic imaging and inversion
Geological data integration and multi-source fusion
Mineral classification and intelligent identification
Geotechnical and geological integration technology
Geological modeling artificial intelligence methods
Geological knowledge graph and semantic reasoning
Geological process modeling and simulation
Track 2: Geophysical and rock physics
Seismic wave propagation and full waveform inversion
Joint inversion technology of multiple physical fields
Rock physics and reservoir characterization
Digital rock physics and pore-scale modeling
Wellbore geophysics and logging interpretation
Reservoir property simulation and prediction
In-situ stress and fracture prediction
Seismic signal processing and noise suppression
Ocean geophysical exploration
Electromagnetic exploration and interpretation
Joint exploration methods of gravity, magnetic and electrical
Fiber optic sensing and distributed acoustic sensing
Time-lapse seismic and 4D monitoring
Intelligent interpretation of geophysical signals
Physics-guided deep learning geophysical inversion
Large models and basic models in the geophysical field
Intelligent fusion of multi-source heterogeneous geophysical data
Generative AI in geophysics
Seismic anisotropy and multi-component imaging
High-performance computing in geophysics
Track 3: Big data and artificial intelligence in geoscience applications
Geoscience big data platform and cloud computing
Deep learning and geophysical inversion
Multi-source geophysical big data fusion and interpretation
Geoscience knowledge graph construction and application
Geoscience large models and intelligent agents
Intelligent prospecting prediction and three-dimensional modeling
Data-driven earth system simulation
AI-assisted seismic interpretation and reservoir prediction
Geoscience data mining and knowledge discovery
Big data processing and high-performance computing
Machine learning and geochemical data analysis
Intelligent earth exploration and resource exploration