Scopes
(Including but not limited to the following topics)
Track 1: Geology Exploration and Resources
Mineral resource exploration and evaluation
3D geological modeling and visualization
Remote sensing geology and hyperspectral exploration
Geological data integration and multi-source fusion
Mineral classification and intelligent identification
Geological risk assessment and disaster prediction
Exploration seismic imaging and inversion
Rock type and sedimentary facies intelligent identification
Geological structure intelligent identification and interpretation
Integration of geostatistics and machine learning
Deep structure and concealed ore body modeling
Geological knowledge graph and semantic reasoning
Intelligent geological mapping and mapping
Green exploration and environmental geology
Geological big data platform and database construction
Track 2: Geophysical and Intelligent Detection
Seismic data acquisition, processing and imaging
Full waveform inversion and velocity modeling
Multi-component seismology and anisotropy
Joint exploration and interpretation of gravity, magnetic and electrical
Distributed acoustic sensing technology
Well-based geophysics and well logging interpretation
Rock physics and reservoir characterization
Time-lapse seismology and four-dimensional monitoring
Microseismic monitoring and induced earthquakes
Ocean geophysics and deep-sea exploration
Urban geophysics and near-surface characterization
Numerical simulation of geophysical fields and high-performance computing
Collaborative multi-physics field detection and data fusion
Unmanned aerial vehicle geophysics and intelligent equipment
Geophysical signal denoising and information extraction
Track 3: Artificial Intelligence and Geoscience Intelligent Computing
Deep learning for seismic data processing and interpretation
Physics-constrained neural networks and data-physical fusion
Generative AI and intelligent seismic interpretation
Basic models and geoscience large models
Vision-language models and agent AI
Intelligent fusion of multi-source geophysical data
Machine learning-assisted inversion and uncertainty quantification
Neural representation and implicit neural network inversion
Interpretable AI and the credibility of geoscience models
Data quality control and governance
Intelligent exploration workflow and autonomous agents
AI-assisted resource prediction and mineralization analysis
Deep geological image recognition and digital core
High-performance computing and cloud-edge collaboration
Track 1: Geology Exploration and Resources
Mineral resource exploration and evaluation
3D geological modeling and visualization
Remote sensing geology and hyperspectral exploration
Geological data integration and multi-source fusion
Mineral classification and intelligent identification
Geological risk assessment and disaster prediction
Exploration seismic imaging and inversion
Rock type and sedimentary facies intelligent identification
Geological structure intelligent identification and interpretation
Integration of geostatistics and machine learning
Deep structure and concealed ore body modeling
Geological knowledge graph and semantic reasoning
Intelligent geological mapping and mapping
Green exploration and environmental geology
Geological big data platform and database construction
Track 2: Geophysical and Intelligent Detection
Seismic data acquisition, processing and imaging
Full waveform inversion and velocity modeling
Multi-component seismology and anisotropy
Joint exploration and interpretation of gravity, magnetic and electrical
Distributed acoustic sensing technology
Well-based geophysics and well logging interpretation
Rock physics and reservoir characterization
Time-lapse seismology and four-dimensional monitoring
Microseismic monitoring and induced earthquakes
Ocean geophysics and deep-sea exploration
Urban geophysics and near-surface characterization
Numerical simulation of geophysical fields and high-performance computing
Collaborative multi-physics field detection and data fusion
Unmanned aerial vehicle geophysics and intelligent equipment
Geophysical signal denoising and information extraction
Track 3: Artificial Intelligence and Geoscience Intelligent Computing
Deep learning for seismic data processing and interpretation
Physics-constrained neural networks and data-physical fusion
Generative AI and intelligent seismic interpretation
Basic models and geoscience large models
Vision-language models and agent AI
Intelligent fusion of multi-source geophysical data
Machine learning-assisted inversion and uncertainty quantification
Neural representation and implicit neural network inversion
Interpretable AI and the credibility of geoscience models
Data quality control and governance
Intelligent exploration workflow and autonomous agents
AI-assisted resource prediction and mineralization analysis
Deep geological image recognition and digital core
High-performance computing and cloud-edge collaboration
Important Dates | 重要日期
- Submission Deadline: December 2, 2026
- Registration Deadline: December 11, 2026
- Conference Date: December 26, 2026
- Notification Date: About a week after the submission
Submission Portal | 投稿方式
Mail Address: ic_conf@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
谢老师
15528045772
3825393354
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