A5100386390- Granular flow and fluidized beds
- Particle Dynamics in Fluid Flows
- Reservoir Engineering and Simulation Methods
- Enhanced Oil Recovery Techniques
- Oil and Gas Production Techniques
- Advanced MRI Techniques and Applications
- Hydrocarbon exploration and reservoir analysis
- Hydraulic Fracturing and Reservoir Analysis
- Indoor and Outdoor Localization Technologies
- Plant Stress Responses and Tolerance
- Metabolomics and Mass Spectrometry Studies
- Spacecraft and Cryogenic Technologies
- Heat Transfer and Boiling Studies
- Chemical Looping and Thermochemical Processes
- Dyeing and Modifying Textile Fibers
- Sparse and Compressive Sensing Techniques
- Recycling and Waste Management Techniques
- Medical Imaging Techniques and Applications
- Biological and pharmacological studies of plants
- Global Energy and Sustainability Research
- Refrigeration and Air Conditioning Technologies
- Material Dynamics and Properties
- Wind Energy Research and Development
- Organic Electronics and Photovoltaics
- Extraction and Separation Processes
Daqing Oilfield General Hospital
2024
Daqing Oilfield of CNPC
2024
Northeast Petroleum University
2024
Institute of Process Engineering
2018-2024
University of Chinese Academy of Sciences
2011-2024
Sinopec (China)
2011-2024
Hainan Tropical Ocean University
2022
Institute of Electrical Engineering
2019
Xiaomi (China)
2011
Beijing National Laboratory for Molecular Sciences
2011
A new fused-ring building block dithieno[3,2-f:2′,3′-h]phthalimide was synthesized and used in synthesis of conjugated polymers. On the basis this block, we designed a series copolymers containing electron-rich unit benzo[1,2-b:4,5-b′]dithiophene (P1 P2) or with electron-deficient 2,2′-bithiazole (P3 P4) benzo[c][1,2,5]thiadiazole (P5) homopolymer (P6). P1 P4–P6 have good solubility common organic solvents, while P2 P3 poor solubility. P1–P6 exhibit thermal stability 5% weight loss...
Abstract This study explored free and immobilised microorganisms to degrade heavy oil. Two oil‐degrading bacterial strains (W‐1 W‐2) were isolated from oil wastewater samples collected Shengli Oil Field in China. W‐1 W‐2, identified as Rhosococcus sp. Bacillus cereus sp., respectively, tested for their growth behaviour optimal conditions the laboratory. The obtained results showed that W‐2 pH of 8, temperature 40°C, salinity 2% 4%, respectively. environmental affecting efficiency by...
Abstract Clustering is critical to understanding the multiscale behavior of fluidization. However, its time‐resolved evolution at particle level seldom touched. Here, we explore both time‐averaged and dynamics clusters in a quasi‐2D fluidized bed. Particle tracking velocimetry adopted, then are identified by using Voronoi analysis. The results show that number distribution cluster size follows power law ( ) except for large n c > 100). Time‐resolved analysis demonstrates coalescence can...
The oilfield adheres to the principle of "valuing new energy as much oil and gas production", firmly explores a path low-carbon transformation in based on wind solar resources supported by CCUS. At same time, is also facing increasing uncertainty key development indicators such exploitable resources, displacement methods economic risks. influencing factors these include diversity form. poor resource quality, gradual change difference fields, frequent fluctuations international prices. This...
Motivation: PET suffers from a low signal-to-noise ratio. Meanwhile, the k-space data acquisition process in MRI is time-consuming by PET-MRI systems. Goal(s): We aim to accelerate and improve image quality. Approach: This paper proposed novel joint reconstruction model diffusion stochastic differential equations based on learning probability distribution of MRI. Results: Compare results underscore qualitative quantitative improvements our brings reconstruction, surpassing current...
The deep learning methods have achieved attractive performance in dynamic MR cine imaging. However, all of these are only driven by the sparse prior images, while important low-rank (LR) images is not explored, which limits further improvements on reconstruction. In this paper, a learned singular value thresholding (Learned-SVT) operation proposed to explore imaging for obtaining improved reconstruction results. particular, we come up with two novel and distinct schemes introduce learnable...
The clustering is critical to understanding the multiscale behavior of fluidization. However, its time-resolved evolution on particle level seldom touched. Here, we explore both time-averaged and dynamics clusters in a quasi-2D fluidized bed. Particle tracking velocimetry adopted then are identified by using Voronoi analysis. results show that cluster hydrodynamic parameters depend highly size distance from wall. number distribution follows power law (~ n )) percolation theory except for...
Based on the potential flow theory, this paper studies hydrodynamic performance of a single point mooring suspended current power generation device by using software AQWA, and obtains frequency-domain characteristic curves RAOs (Amplitude Response Operators) each degree freedom under conditions different wave direction angles height gravity center. According to results analysis, considering loads current, time-domain coupling analysis given sea condition is carried out, motion response...
This paper first explains the principle of adaptive filter, then introduces composition timedomain interference cancellation module, focuses on analysis LMS algorithm in filtering communication system, and proposes an method using timedomain, analyzes simulation results under different conditions.