A5040991358- Reservoir Engineering and Simulation Methods
- Nuclear Physics and Applications
- Neutrino Physics Research
- Fluid Dynamics and Mixing
- Radiation Detection and Scintillator Technologies
- Fuel Cells and Related Materials
- Chemical Synthesis and Analysis
- Cyclone Separators and Fluid Dynamics
- Particle Detector Development and Performance
- Anomaly Detection Techniques and Applications
- Superconducting Materials and Applications
- Particle Accelerators and Free-Electron Lasers
- Machine Learning in Materials Science
- Turbomachinery Performance and Optimization
- Radiation Therapy and Dosimetry
- Particle accelerators and beam dynamics
- Flow Measurement and Analysis
- Cavitation Phenomena in Pumps
- Refrigeration and Air Conditioning Technologies
- Advancements in Solid Oxide Fuel Cells
- Nuclear physics research studies
- Silicon Carbide Semiconductor Technologies
- Heat transfer and supercritical fluids
- Protein Structure and Dynamics
- Oil and Gas Production Techniques
Beijing Normal University
2024
Southwest Petroleum University
2023-2024
Peking University
2005-2020
State Key Laboratory of Nuclear Physics and Technology
2020
Biocatalysis is an attractive approach for the synthesis of chiral pharmaceuticals and fine chemicals, but assessing and/or improving enantioselectivity biocatalyst towards target substrates often time resource intensive. Although machine learning has been used to reveal underlying relationship between protein sequences biocatalytic enantioselectivity, establishment substrate fitness space usually disregarded by chemists still a challenge. Using 240 datasets collected in our previous works,...
Fluid accumulation in gas wells lead to a sudden drop production and is problem. This paper proposes prediction system for water-producing using edge intelligence. The method characterized by use of intelligence realize automatic collection well data, effusion analysis, data backup, upload, dynamic monitoring, other functions. Pearson correlation coefficient was employed analyze the relevant parameters liquid wells. A collaborative discrimination approach utilizing convolutional neural...
Neutron detection efficiency for a long wedge-shaped plastic scintillation detector was measured by using the Am/Be neutron source. The overall attains 23% at around 2 MeV and decreases to 15% about 5 MeV. experimental results are in agreement with Monte Carlo simulation calculations.
At present, the main way to deal with gas well effusion is use over-effusion prediction model calculate critical fluid carrying velocity and other factors, which provides data support theoretical basis for drainage process, so as achieve effect of bringing out wellbore. When results hydrops are biased, will be generated at bottom wellbore, resulting in a decrease productivity. Aiming problem that drag coefficient wellbore droplet movement changes greatly process natural production, leads...
Abstract Gas wells need to face the problem of gas well outflow during production, and main way deal with fluid accumulation is calculate critical liquid carrying velocity other factors by using prediction model excess accumulation. When results hydrops are biased, will be generated at bottom wellbore, resulting in a decrease productivity. Aiming that drag coefficient wellbore droplet movement changes greatly process natural which leads error effusion prediction, commonly used models common...