Patents by Inventor Vitalij Cybulskij

Vitalij Cybulskij 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: 10067253
    Abstract: The present invention describes a method for adaptively determining a plurality of sedimentary facies from 3D seismic data, comprising the steps of (a) generating an attribute volume comprising at least one attribute from said 3D seismic data; (b) generating at least one frequency decomposition color blend volume from said 3D seismic data; (c) generating a data volume comprising at least one geological object utilizing data from said attribute volume and said frequency decomposition color blend volume; (d) generating a facies classification model dataset for a predetermined region of interest of said 3D seismic data applying a probabilistic algorithm and utilizing data from said geobody volume and said frequency decomposition color blend volume; (e) selectively adjusting at least one first model parameter, so as to optimize said facies classification model dataset in accordance with a conceptual geological model; and (f) selectively providing said facies classification model dataset in a representative proper
    Type: Grant
    Filed: December 14, 2015
    Date of Patent: September 4, 2018
    Assignee: FOSTER FINDLAY ASSOCIATES LIMITED
    Inventors: James Lowell, Hanish Yadav, Vitalij Cybulskij, Adam Eckersley, Stephen Purves
  • Publication number: 20180003839
    Abstract: The present invention describes a method for adaptively determining a plurality of sedimentary facies from 3D seismic data, comprising the steps of (a) generating an attribute volume comprising at least one attribute from said 3D seismic data; (b) generating at least one frequency decomposition colour blend volume from said 3D seismic data; (c) generating a data volume comprising at least one geological object utilising data from said attribute volume and said frequency decomposition colour blend volume; (d) generating a facies classification model dataset for a predetermined region of interest of said 3D seismic data applying a probabilistic algorithm and utilizing data from said geobody volume and said frequency decomposition colour blend volume; (e) selectively adjusting at least one first model parameter, so as to optimise said facies classification model dataset in accordance with a conceptual geological model; and (f) selectively providing said facies classification model dataset in a representative pro
    Type: Application
    Filed: December 14, 2015
    Publication date: January 4, 2018
    Inventors: James Lowell, Hanish Yadav, Vitalij Cybulskij, Adam Eckersley, Stephen Purves