Patents by Inventor Jung Tak Shim

Jung Tak Shim 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: 10641662
    Abstract: The present invention relates to a method for estimating a geothermal gradient and an apparatus for estimating a geothermal gradient, and provides a method for estimating a geothermal gradient, the method comprising the steps of: calculating, at each of a plurality of points, a seismic wave crustal attenuation characteristic parameter of a seismic wave measured on the basis of the measured seismic wave information, with respect to the plurality of points; deriving an artificial neural network relational formula on the basis of the seismic wave crustal attenuation characteristic parameter; and calculating a geothermal gradient of an area of interest excluding the plurality of points on the basis of the artificial neural network relational formula, such that the geothermal gradient is estimated at a low cost by using a highly reliable method.
    Type: Grant
    Filed: August 24, 2016
    Date of Patent: May 5, 2020
    Assignee: Korea Electric Power Corporation
    Inventors: Kwan Hee Yun, Jung Tak Shim, Eun Ju Jung
  • Publication number: 20190078944
    Abstract: The present invention relates to a method for estimating a geothermal gradient and an apparatus for estimating a geothermal gradient, and provides a method for estimating a geothermal gradient, the method comprising the steps of: calculating, at each of a plurality of points, a seismic wave crustal attenuation characteristic parameter of a seismic wave measured on the basis of the measured seismic wave information, with respect to the plurality of points; deriving an artificial neural network relational formula on the basis of the seismic wave crustal attenuation characteristic parameter; and calculating a geothermal gradient of an area of interest excluding the plurality of points on the basis of the artificial neural network relational formula, such that the geothermal gradient is estimated at a low cost by using a highly reliable method.
    Type: Application
    Filed: August 24, 2016
    Publication date: March 14, 2019
    Applicant: Korea Electric Power Corporation
    Inventors: Kwan Hee Yun, Jung Tak Shim, Eun Ju Jung