Patents by Inventor Christopher DiCaprio

Christopher DiCaprio 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: 9702995
    Abstract: Method for estimating geological properties in a subsurface region using multiple types of geophysical data (21). An initial physical properties model 22 is constructed. Some parameters in the model are frozen (23) and optionally portions of the model wave number and spatial domains (24) and the data frequency and data time domains (25), are also frozen. Then, a joint inversion (26) of the multiple data types is performed to calculate an update to the model only for the portions that are not frozen. The converged model (27) for this inversion is used as a new starting model, and the process is repeated (28), possibly several times, unfreezing more parameters and data each time until the desired spatial and parameter resolution (29) has been achieved.
    Type: Grant
    Filed: May 9, 2012
    Date of Patent: July 11, 2017
    Assignee: ExxonMobil Upstream research Company
    Inventors: Christopher DiCaprio, Jan Schmedes, Charlie Jing, Garrett M. Leahy, Anoop A. Mullur, Rebecca L. Saltzer
  • Patent number: 9494711
    Abstract: Method for adaptive weighting of geophysical data types in iterative joint inversion to speed convergence and aid escape from local minima of the penalty (objective) function. Two or more geophysical data sets (11) representing a region of interest are obtained, and are jointly inverted to infer models of the physical properties that affect the particular types of data used. The misfit for each data type is a weighted tem in the penalty function (13). The invention involves changing the weights (51) as the iteration cycles progress when the iteration convergence criteria are satisfied (15), to see if they remain satisfied (52) with the modified penalty function.
    Type: Grant
    Filed: May 9, 2012
    Date of Patent: November 15, 2016
    Inventors: Garrett M Leahy, Christopher DiCaprio, Charlie Jing, Anoop A Mullur, Rebecca L Saltzer, Jan Schmedes
  • Publication number: 20140136170
    Abstract: Method for adaptive weighting of geophysical data types in iterative joint inversion to speed convergence and aid escape from local minima of the penalty (objective) function. Two or more geophysical data sets (11) representing a region of interest are obtained, and are jointly inverted to infer models of the physical properties that affect the particular types of data used. The misfit for each data type is a weighted tem in the penalty function (13). The invention involves changing the weights (51) as the iteration cycles progress when the iteration convergence criteria are satisfied (15), to see if they remain satisfied (52) with the modified penalty function.
    Type: Application
    Filed: May 9, 2012
    Publication date: May 15, 2014
    Inventors: Garrett M. Leahy, Christopher DiCaprio, Charlie Jing, Anoop A. Mullur, Rebecca L. Saltzer, Jan Schmedes
  • Publication number: 20140095131
    Abstract: Method for estimating geological properties in a subsurface region using multiple types of geophysical data (21). An initial physical properties model 22 is constructed. Some parameters in the model are frozen (23) and optionally portions of the model wave number and spatial domains (24) and the data frequency and data time domains (25), are also frozen. Then, a joint inversion (26) of the multiple data types is performed to calculate an update to the model only for the portions that are not frozen. The converged model (27) for this inversion is used as a new starting model, and the process is repeated (28), possibly several times, unfreezing more parameters and data each time until the desired spatial and parameter resolution (29) has been achieved.
    Type: Application
    Filed: May 9, 2012
    Publication date: April 3, 2014
    Inventors: Christopher DiCaprio, Jan Schmedes, Charlie Jing, Garrett M. Leahy, Anoop A. Mullur, Rebecca L. Saltzer