Patents by Inventor Binsen Xu

Binsen Xu 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).

  • Method and apparatus for automatically recognizing electrical imaging well logging facies
    Patent number: 11003952
    Abstract: A method and an apparatus for automatically recognizing an electrical imaging well logging facies, wherein the method comprises: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing a typical imaging well logging facies in the electrical imaging well logging image covering the full hole, and determining the electrical imaging well logging image covering the full hole as a training sample in accordance with a category of the imaging well logging facies; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample to obtain a trained deep learning model; and recognizing the well logging facies of the electrical imaging well logging image of the well section to be recognized using the trained deep learning model.
    Type: Grant
    Filed: July 9, 2019
    Date of Patent: May 11, 2021
    Assignee: PetroChina Company Limited
    Inventors: Zhou Feng, Hongliang Wu, Ning Li, Kewen Wang, Peng Liu, Yusheng Li, Huafeng Wang, Binsen Xu
  • METHOD AND APPARATUS FOR AUTOMATICALLY RECOGNIZING ELECTRICAL IMAGING WELL LOGGING FACIES
    Publication number: 20200065620
    Abstract: A method and an apparatus for automatically recognizing an electrical imaging well logging facies, wherein the method comprises: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing a typical imaging well logging facies in the electrical imaging well logging image covering the full hole, and determining the electrical imaging well logging image covering the full hole as a training sample in accordance with a category of the imaging well logging facies; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample to obtain a trained deep learning model; and recognizing the well logging facies of the electrical imaging well logging image of the well section to be recognized using the trained deep learning model.
    Type: Application
    Filed: July 9, 2019
    Publication date: February 27, 2020
    Inventors: Zhou Feng, Hongliang Wu, Ning Li, Kewen Wang, Peng Liu, Yusheng Li, Huafeng Wang, Binsen Xu