Patents by Inventor Mikhail Zaslavsky

Mikhail Zaslavsky 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).

  • Constructing a reduced order model of an electromagnetic response in a subterranean structure
    Patent number: 9529110
    Abstract: To construct a reduced order model of a subterranean structure, a model reduction algorithm is applied to produce the reduced order model that is an approximation of a true model of the subterranean structure. The model reduction algorithm uses interpolating frequencies that are purely imaginary to enhance computational efficiency of the algorithm.
    Type: Grant
    Filed: January 21, 2009
    Date of Patent: December 27, 2016
    Assignee: WESTERNGECO L. L. C.
    Inventors: Vladimir Druskin, Mikhail Zaslavsky
  • Data set inversion using source-receiver compression
    Patent number: 9176244
    Abstract: Source-receiver compression is used to help design surveys and mitigate the computational costs of data set inversion. The source-receiver compression is based on data redundancy and sensitivity. More particularly, a compressed source array is produced for minimum redundancy and maximum sensitivity to reservoir model parameters. The synthesized transmitter array has a reduced number of sources, thereby reducing the number of forward model simulations needed to carry out the inversion. Furthermore, the data collected at the receivers employed in the survey can be compressed. This has the implication of reducing the computational cost of constructing the Jacobian matrix and inverting the corresponding Hessian matrix.
    Type: Grant
    Filed: March 31, 2010
    Date of Patent: November 3, 2015
    Assignee: Schlumberger Technology Corporation
    Inventors: Aria Abubakar, Ashok Belani, Vladimir L. Druskin, Tarek Habashy, Mikhail Zaslavsky
  • DATA SET INVERSION USING SOURCE-RECEIVER COMPRESSION
    Publication number: 20110246140
    Abstract: Source-receiver compression is used to help design surveys and mitigate the computational costs of data set inversion. The source-receiver compression is based on data redundancy and sensitivity. More particularly, a compressed source array is produced for minimum redundancy and maximum sensitivity to reservoir model parameters. The synthesized transmitter array has a reduced number of sources, thereby reducing the number of forward model simulations needed to carry out the inversion. Furthermore, the data collected at the receivers employed in the survey can be compressed. This has the implication of reducing the computational cost of constructing the Jacobian matrix and inverting the corresponding Hessian matrix.
    Type: Application
    Filed: March 31, 2010
    Publication date: October 6, 2011
    Applicant: Schlumberger Technology Corporation
    Inventors: Aria Abubakar, Ashok Belani, Vladimir L. Druskin, Tarek Habashy, Mikhail Zaslavsky
  • CONSTRUCTING A REDUCED ORDER MODEL OF AN ELECTROMAGNETIC RESPONSE IN A SUBTERRANEAN STRUCTURE
    Publication number: 20090248373
    Abstract: To construct a reduced order model of a subterranean structure, a model reduction algorithm is applied to produce the reduced order model that is an approximation of a true model of the subterranean structure. The model reduction algorithm uses interpolating frequencies that are purely imaginary to enhance computational efficiency of the algorithm.
    Type: Application
    Filed: January 21, 2009
    Publication date: October 1, 2009
    Inventors: Vladimir Druskin, Mikhail Zaslavsky