Patents by Inventor Lingyun Zhao

Lingyun Zhao has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11820936
    Abstract: A scour-resistant interface enhancer, a preparation method, and an application thereof are provided. The scour-resistant interface enhancer is a compound solution prepared by using a 0.1% surfactant CAEO-15 and a 0.3% silane coupling agent as solutes and using clear water and absolute ethanol as solvents, where the mass ratio of clear water to absolute ethanol is 9:1. The scour-resistant interface enhancer of the present invention used as pre-flush for well cementing of coalbed methane wells has good wettability modification effect, shows scour-resistant effect against cement slurry, exhibits good compatibility with cement slurry system, and can significantly improve the cementing strength and air tightness of two interfaces of coal bed and effectively enhance the cementing quality of coalbed methane wells.
    Type: Grant
    Filed: January 13, 2023
    Date of Patent: November 21, 2023
    Assignees: CHINA UNIVERSITY OF PETROLEUM (EAST CHINA), Guizhou Engineering Research Institute of Oil & Gas Exploration and Development
    Inventors: Shenglai Guo, Yuhuan Bu, Chang Lu, Lingyun Zhao, Yuanlong Wei, Qi Zhao, Huajie Liu, Qiang Wang, Xinyang Guo
  • Publication number: 20230227710
    Abstract: A scour-resistant interface enhancer, a preparation method, and an application thereof are provided. The scour-resistant interface enhancer is a compound solution prepared by using a 0.1% surfactant CAEO-15 and a 0.3% silane coupling agent as solutes and using clear water and absolute ethanol as solvents, where the mass ratio of clear water to absolute ethanol is 9:1. The scour-resistant interface enhancer of the present invention used as pre-flush for well cementing of coalbed methane wells has good wettability modification effect, shows scour-resistant effect against cement slurry, exhibits good compatibility with cement slurry system, and can significantly improve the cementing strength and air tightness of two interfaces of coal bed and effectively enhance the cementing quality of coalbed methane wells.
    Type: Application
    Filed: January 13, 2023
    Publication date: July 20, 2023
    Applicants: CHINA UNIVERSITY OF PETROLEUM (EAST CHINA), Guizhou Engineering Research Institute of Oil&Gas Exploration and Development
    Inventors: Shenglai GUO, Yuhuan BU, Chang LU, Lingyun ZHAO, Yuanlong WEI, Qi ZHAO, Huajie LIU, Qiang WANG, Xinyang GUO
  • Patent number: 11676076
    Abstract: The present invention provides a prediction method and system of high slope deformation. First, historical deformation data of each period of each part of a high slope is obtained as sample data; the sample data is divided into training samples and test samples; then a parameter group of a Support Vector Machine (SVM) model is optimized by using the training samples and a particle Swarm Optimization (PSO) algorithm to determine an optimal parameter group of the SVM model, to obtain a trained SVM model; whether the trained SVM model satisfies a condition is verified by using the test samples, and when the SVM model does not satisfy the condition, an optimal parameter group of the SVM model is re-determined; and finally the deformation of each area of the high slope is predicted by using the SVM model that satisfies the condition.
    Type: Grant
    Filed: August 14, 2020
    Date of Patent: June 13, 2023
    Assignee: China Institute of Water Resources and Hydropower Research
    Inventors: Jing Qin, Tianjie Lei, Geng Sun, Lingyun Zhao, Wenlong Niu, Mingming Zhu, Yanhong Wang, Xiaomin Guo, Qian Wang, Jiabao Wang, Xiangyu Li, Yazhen Zhang, Li Zhang, Haoyu Yang
  • Patent number: 11619487
    Abstract: A dam slope deformation monitoring system and method are provided. The monitoring system monitors an entire dam in a reservoir area by using an unmanned aerial vehicle (UAV) photogrammetry system, and determines an encrypted monitoring area (steep slope) with the relatively large deformation and a relatively large digital elevation difference; determines, in the intensive monitoring area, a first level key monitoring area with the larger deformation by using a ground-based radar interferometry measurement system; determines, in the first level key monitoring area, a second level key monitoring area with the larger deformation by using a ground-based three-dimensional lidar measurement system; determines, in the second level key monitoring area, a key monitoring particle with a high deformation speed by using a global navigation satellite system (GNSS). The core chip stack is used to monitor and warn the collapse process in the area where the key monitoring particles are located.
    Type: Grant
    Filed: August 12, 2020
    Date of Patent: April 4, 2023
    Assignees: CHINA INSTITUTE OF WATER RESOURCES AND HYDROPOWER RESEARCH, PEKING REMOTE SENSING WISDOM TECHNOLOGY CO., LTD.
    Inventors: Tianjie Lei, Jing Qin, Geng Sun, Lingyun Zhao, Weiwei Wang, Li Zhang, Mingming Zhu, Lu Wang, Ruihu Yao, Xiangyu Li, Jiabao Wang, Huaidong Zhao
  • Patent number: 7488865
    Abstract: The present invention provides transgenic mice deficient in urocortin. Urocortin null mutant mice are hypersensitive to stress and display heightened anxiety-like behaviors in the elevated plus maze and open field tests. These mice also demonstrate physiological alterations in auditory thresholds and distortion product otoacoustic emissions. These results indicate that urocortin plays a modulatory role in anxiety-related behaviors and in contributing to the establishment of auditory thresholds. Such urocortin deficient mutant mice can provide useful models in the study of anxiety pathology and hearing physiology at the biochemical and molecular levels.
    Type: Grant
    Filed: May 19, 2003
    Date of Patent: February 10, 2009
    Assignee: Research Development Foundation
    Inventors: Kuo-Fen Lee, Wylie Vale, Chien Li, Lingyun Zhao, Douglas E. Vetter