Patents by Inventor Alex Woronow

Alex Woronow 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).

  • Bayesian network triads for geologic and geophysical applications
    Patent number: 7743006
    Abstract: A method and apparatus are disclosed for modeling a system to estimate values and associated uncertainties for a first set of variables describing the system. A second set of system variables is selected, where the second set is directly or indirectly causally related to the first set of variables. Data is obtained or estimated for each variable in the second set and the quality of selected data is appraised. A network is formed with nodes including both sets of variables and the quality appraisals, having directional links connecting interdependent nodes, the directional links honoring known causality relationships. A Bayesian Network algorithm is used with the data and quality information to solve the network for the first set of variables and their associated uncertainties.
    Type: Grant
    Filed: May 31, 2005
    Date of Patent: June 22, 2010
    Assignee: ExxonMobil Upstream Research Co.
    Inventors: Alex Woronow, Karen M. Love
  • Bayesian Network Applications to Geology and Geophysics
    Publication number: 20070226158
    Abstract: A method an apparatus are disclosed for modeling a system to estimate values and associated uncertainties for a first set of variables describing the system. A second set of system variables is selected, where the second set is directly or indirectly causally related to the first set of variables. Data is obtained or estimated for each variable in the second set and the quality of selected data is appraised. A network is formed with nodes including both sets of variables and the quality appraisals, having directional links connecting interdependent nodes, the directional links honoring known causality relationships. A Bayesian Network algorithm is used with the data and quality information to solve the network for the first set of variables and their associated uncertainties.
    Type: Application
    Filed: May 31, 2005
    Publication date: September 27, 2007
    Inventors: Alex Woronow, Karen Love
  • Method for analyzing spatially-varying noise in seismic data using Markov chains
    Patent number: 6847921
    Abstract: The invention is a method for analyzing spatially-varying noise in seismic data. Transitions between data values at adjacent data locations in a seismic data set are represented by Markov chains. Transition probability matrices are constructed from the Markov chains. Data values are predicted from the calculated transition probabilities. Noise values are determined from the predicted data values.
    Type: Grant
    Filed: April 7, 2003
    Date of Patent: January 25, 2005
    Assignee: ExxonMobil Upstream Research Company
    Inventors: Alex Woronow, John F. Schuette, Chrysanthe S. Munn
  • Method for analyzing spatially-varying noise in seismic data using markov chains
    Publication number: 20030204312
    Abstract: The invention is a method for analyzing spatially-varying noise in seismic data. Transitions between data values at adjacent data locations in a seismic data set are represented by Markov chains. Transition probability matrices are constructed from the Markov chains. Data values are predicted from the calculated transition probabilities. Noise values are determined from the predicted data values.
    Type: Application
    Filed: April 7, 2003
    Publication date: October 30, 2003
    Applicant: EXXONMOBIL UPSTREAM RESEARCH COMPANY
    Inventors: Alex Woronow, John F. Schuette, Chrysanthe S. Munn