Patents by Inventor Xiongjun Wu

Xiongjun Wu 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).

  • Intelligent prediction method and apparatus for reservoir sensitivity
    Patent number: 11326450
    Abstract: The embodiments of the invention provide an intelligent prediction method and apparatus for reservoir sensitivity, belonging to the technical field of reservoir sensitivity prediction. The method includes: acquiring a reservoir sensitivity influence factor item related to a reservoir sensitivity result to be predicted and numerical values of corresponding reservoir sensitivity influence factors; determining a corresponding type of database according to the reservoir sensitivity influence factor item; determining whether numerical values of reservoir sensitivity influence factors corresponding to core parameters in the numerical values of the reservoir sensitivity influence factors include a first upper boundary value or a first lower boundary value; and using, according to whether the first upper boundary value or the first lower boundary value is included, different intelligent sensitivity prediction models to calculate the reservoir sensitivity result to be predicted.
    Type: Grant
    Filed: June 11, 2021
    Date of Patent: May 10, 2022
    Assignee: China University of Petroleum (Beijing)
    Inventors: Guancheng Jiang, Xiongjun Wu, Lili Yang, Yinbo He, Tengfei Dong, Xiaohu Quan, Chunyao Peng, Xuwu Luo, Bin Tan, Jun Cai, Xing Liang, Zhiliang You, Yong Wang, Bin Li, Yongbin Guo, Shen Guan
  • INTELLIGENT PREDICTION METHOD AND APPARATUS FOR RESERVOIR SENSITIVITY
    Publication number: 20210388720
    Abstract: The embodiments of the invention provide an intelligent prediction method and apparatus for reservoir sensitivity, belonging to the technical field of reservoir sensitivity prediction. The method includes: acquiring a reservoir sensitivity influence factor item related to a reservoir sensitivity result to be predicted and numerical values of corresponding reservoir sensitivity influence factors; determining a corresponding type of database according to the reservoir sensitivity influence factor item; determining whether numerical values of reservoir sensitivity influence factors corresponding to core parameters in the numerical values of the reservoir sensitivity influence factors include a first upper boundary value or a first lower boundary value; and using, according to whether the first upper boundary value or the first lower boundary value is included, different intelligent sensitivity prediction models to calculate the reservoir sensitivity result to be predicted.
    Type: Application
    Filed: June 11, 2021
    Publication date: December 16, 2021
    Applicant: China University of Petroleum (Beijing)
    Inventors: Guancheng JIANG, Xiongjun WU, Lili YANG, Yinbo HE, Tengfei DONG, Xiaohu QUAN, Chunyao PENG, Xuwu LUO, Bin TAN, Jun CAI, Xing LIANG, Zhiliang YOU, Yong WANG, Bin LI, Yongbin GUO, Shen GUAN
  • Temporary plugging agent for drilling fluid and preparation method thereof, and water-based drilling fluid and use thereof
    Patent number: 10647902
    Abstract: The present invention discloses temporary plugging agent for drilling fluid and preparation method thereof, and water-based drilling fluid and use thereof. The temporary plugging agent for drilling fluid is obtained by controlling gelatinized starch and a vinyl grafted monomer to have a polymerization reaction in an activator solution in the presence of a cross-linking agent and an initiator; the vinyl grafted monomer comprises acrylic acid, acrylamide, and 2-acrylamide-2-methyl propanesulfonic acid; the gelatinized starch is obtained by adding starch into deionized water to have a gelatinization reaction.
    Type: Grant
    Filed: April 25, 2019
    Date of Patent: May 12, 2020
    Assignee: CHINA UNIVERSITY OF PETROLEUM (EAST CHINA)
    Inventors: Weian Huang, Jingwen Wang, Ming Lei, Jiaqi Zhang, Gongrang Li, Kaihe Lv, Xiongjun Wu, Zhengsong Qiu