Patents by Inventor Yuda Kan

Yuda Kan 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: 11954417
    Abstract: Disclosed a method for predicting permeability of a multi-mineral phase digital core based on deep learning. In the present disclosure, a three-dimensional digital core is constructed and a pore structure is randomly generated; after a plurality of multi-mineral digital core images is acquired by performing image segmentation on the three-dimensional digital core, permeability corresponding to each of the multi-mineral digital core images is acquired by simulation using multi-physics field simulation software and a multi-mineral digital core data set is constructed based on the plurality of multi-mineral digital core images and the permeability corresponding to each of the multi-mineral digital core images; an SE-ResNet18 convolutional neural network is constructed and trained with the multi-mineral digital core data set; and an image of a multi-mineral core to be predicted is input into the trained SE-ResNet18 convolutional neural network to determine the permeability of the multi-mineral core.
    Type: Grant
    Filed: November 8, 2023
    Date of Patent: April 9, 2024
    Assignee: CHINA UNIVERSITY OF PETROLEUM (EAST CHINA)
    Inventors: Hai Sun, Liang Zhou, Dongyan Fan, Lei Zhang, Jun Yao, Yongfei Yang, Kai Zhang, Qian Sang, Xia Yan, Lei Liu, Fei Luo, Yuda Kan