A5101659573- Advanced Image and Video Retrieval Techniques
- Robotics and Sensor-Based Localization
- Enhanced Oil Recovery Techniques
- Advanced Neural Network Applications
- Microbial bioremediation and biosurfactants
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Advanced Memory and Neural Computing
- Graphene research and applications
- Remote Sensing and Land Use
- Hydraulic Fracturing and Reservoir Analysis
- 2D Materials and Applications
- Pickering emulsions and particle stabilization
- Face recognition and analysis
- Reservoir Engineering and Simulation Methods
- Neural dynamics and brain function
- MXene and MAX Phase Materials
- CCD and CMOS Imaging Sensors
- Brain Tumor Detection and Classification
- Advanced Vision and Imaging
Research Institute of Petroleum Exploration and Development
2017-2025
Beijing University of Posts and Telecommunications
2022-2024
Guizhou University of Finance and Economics
2020-2021
The study of seepage laws during microbial enhanced oil recovery helps to elucidate the mechanisms behind flooding, and use large-scale physical simulation experimental devices can more objectively accurately investigate microbes in porous media, evaluate displacement efficiency systems. In this study, experiments flooding were conducted via a slab outcrop core, biochemical parameters such as concentration Bacillus subtilis, nutrient concentration, surface tension, pressure data tracked...
In the domain of autonomous driving, object detection presents several complex challenges, particularly concerning accurate identification small and salient objects. This paper introduces DL-YOLOX (Dilated Enhancement YOLOX), which flexibly uses dilated convolution to enhance features achieve purpose improving objects silent As we all know, a large receptive field covers larger area has greater contextual information, is more advantageous for detecting targets. A helps capture local details...
The microbial enhanced oil recovery (MEOR) mathematical model, which could accurately describe the growth, migration, and of microorganisms in porous media, provided guidance for preparation prediction field tests. Based on analysis migration a three-dimensional, three-phase, nine-component model was developed to reflect process flooding. components were related oil, gas, water, 1 (suspension phase), 2 (reversible adsorption 3 (irreversible nutrient (adsorption electron acceptor. described...