A5069231464- Hydraulic Fracturing and Reservoir Analysis
- Seismic Imaging and Inversion Techniques
- Hydrocarbon exploration and reservoir analysis
- Reservoir Engineering and Simulation Methods
- Spectroscopy and Chemometric Analyses
- Advanced Data and IoT Technologies
- Advanced Measurement and Detection Methods
- Geochemistry and Geologic Mapping
- Dam Engineering and Safety
- Seismic Waves and Analysis
- Anomaly Detection Techniques and Applications
- Mineral Processing and Grinding
- Groundwater flow and contamination studies
- Brain Tumor Detection and Classification
- IoT and Edge/Fog Computing
- Water Systems and Optimization
Xiangtan University
2025
Hohai University
2022-2024
Hangzhou Normal University
2024
Data fusion has become an important task in multi-view learning. Previous methods suffer from the insufficient data due to following issues: (i) Several ignore correlation and distinction among views directly concatenate features different views; (ii) They involve intractable parameters balance views, degenerating applicability of models; (iii) A fixed label matrix is used guide feature fusion, overlooking distances between classes (i.e., inter-class distance) or within same class...
Summary High-resolution reservoir modeling is a crucial technique for the precise identification of gas reservoirs, holding significant importance in guiding natural development. However, nonstationarity and statistical anisotropy subsurface media present immense challenges to reliable implementation high-resolution modeling. In response complex we propose novel stochastic method based on fast Fourier transform moving average (FFT-MA). this method, variational mode decomposition (VMD)...
Abstract The high‐resolution model of elastic properties is great significance for fine reservoir characterization and precise oil gas exploration. However, it difficult to obtain a satisfactory with the existing technologies. In this paper, novel stochastic modelling strategy based on fast Fourier transform moving average proposed. strategy, several structural parameters are optimized improve rationality model, including vertical autocorrelation length, horizontal roughness factor angle...