(The following topics include but are not limited to)
Track 1: Geophysics
Theory and numerical simulation of seismic wave propagation
Seismic data processing, imaging and inversion methods
Multi-component seismic exploration and elastic wave technology
Geophysical methods of gravity, magnetism and electricity (non-seismic)
Well-based geophysics and microseismic monitoring
Distributed optical fiber sensing (DAS) and permanent monitoring
Rock physics experiments, theoretical modeling and digital cores
Coupling response mechanisms of multiple physical fields
Exploration techniques in deep underground, deep sea and complex structural areas
New theories and intelligent methods of geophysical logging
Time-shifted seismic and reservoir dynamic monitoring
Research and development of new geophysical instruments and equipment
Joint inversion and comprehensive interpretation of multi-source geophysical data
Multidisciplinary modeling of geology and geophysics
Track 2: Oil and Gas Resources
Key geophysical technologies for deep/ultra-deep oil and gas exploration
Geophysical acquisition and processing technologies for offshore and deepwater exploration
Exploration and development of unconventional oil and gas (shale gas, tight oil, coalbed methane)
Fine description and prediction of complex reservoirs (carbonate rocks, volcanic rocks)
Geophysical methods for oil reservoirs and reservoir depletion optimization
Oil reservoir dynamic monitoring and intelligent management
Exploration and development of natural gas hydrates
Complex structure wells and drilling and completion technologies
New technologies for reservoir fracturing and stimulation
Chemical flooding and gas displacement to improve recovery rate (EOR) technologies
Exploration and development of geothermal resources and CCUS/CCS carbon sequestration technologies
Construction of underground storage facilities and energy hub technologies
Track 3: Intelligent Detection Technology
Application of artificial intelligence in seismic data processing and interpretation
Deep learning and intelligent methods in oil and gas geophysics
Big data-driven reservoir prediction and oil/gas identification
Intelligent geophysical exploration and information technology (including large models, algorithms and automatic access)
Digital twin and intelligent reservoir characterization
Application of computer vision and remote sensing technologies in oil and gas exploration
Artificial intelligence methods for geological modeling and digital core identification algorithms
Multi-source information fusion and intelligent decision support systems
Application of high-performance computing and cloud computing in reservoir simulation
Internet of Things and integrated management of intelligent oil fields
Application of scientific computing and industrial large models
Intelligentization and unmanned technology of detection equipment (including unmanned aircraft, robots)
Interpretable artificial intelligence and trustworthy machine learning in geophysics ......