A5042878459- Seismic Imaging and Inversion Techniques
- NMR spectroscopy and applications
- Hydrocarbon exploration and reservoir analysis
- Speech and Audio Processing
- Advanced Wireless Communication Technologies
- Indoor and Outdoor Localization Technologies
- Bioinformatics and Genomic Networks
- Energy Harvesting in Wireless Networks
- Time Series Analysis and Forecasting
- Protein Structure and Dynamics
- Advanced MIMO Systems Optimization
- Advanced Chemical Sensor Technologies
- Porphyrin and Phthalocyanine Chemistry
- Spectroscopy and Chemometric Analyses
- Smart Agriculture and AI
- Machine Learning in Bioinformatics
Zhejiang University of Science and Technology
2024
Zhejiang University
2024
China Agricultural University
2022
Hong Kong Baptist University
2019
University of Oklahoma
2017-2018
Nuclear magnetic resonance (NMR) is used in geological characterization to investigate the internal structure of geomaterials filled with fluids containing <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> H and xmlns:xlink="http://www.w3.org/1999/xlink">13</sup> C nuclei. Subsurface NMR measurements are generally acquired as well logs that provide information about fluid mobility fluid-filled pore size distribution. Acquisition subsurface...
Downhole nuclear magnetic resonance (NMR) logs acquired in the borehole environment are valuable for subsurface characterization because they contain information about pore size distribution, fluid composition, saturation, mobility, formation permeability, and porosity. NMR log acquisition can be challenging due to operational financial constraints. Recently, T2 distributions of were generated by processing conventional well using deeplearning neural-network (NN) models. This improves...
To handle the data explosion in era of internet things (IoT), it is interest to investigate decentralized network, with aim at relaxing burden central server along keeping privacy. In this work, we develop a fully federated learning (FL) framework an inexact stochastic parallel random walk alternating direction method multipliers (ISPW-ADMM). Performing more communication efficient and enhanced privacy preservation compared current state-of-the-art, proposed ISPW-ADMM can be partially immune...