Patents by Inventor Can Peng

Can Peng 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: 9435905
    Abstract: Methods and systems for optimized receiver-based ghost filter generation are described. The optimized ghost filter self-determines its parameters based on an iterative calculation of recorded data transformed from a time-space domain to a Tau-P domain. An initial ghost filter prediction is made based on generating mirror data from the recorded data and using a least squares technique during a premigration stage.
    Type: Grant
    Filed: March 18, 2013
    Date of Patent: September 6, 2016
    Assignee: CGG SERVICES SA
    Inventors: Ping Wang, Can Peng
  • Publication number: 20150355357
    Abstract: Methods and systems for optimized receiver-based ghost filter generation are described. The optimized ghost filter self-determines its parameters based on an iterative calculation of recorded data transformed from a time-space domain to a Tau-P domain. An initial ghost filter prediction is made based on generating mirror data from the recorded data and using a least squares technique during a premigration stage.
    Type: Application
    Filed: January 13, 2014
    Publication date: December 10, 2015
    Inventors: Ping WANG, Suryadeep RAY, Can PENG, Yunfeng LI
  • Publication number: 20150346369
    Abstract: Cooperative attenuation methods are applied to data sets acquired by surveying a same underground formation which therefore include substantially the same primary signal and different individual noise. The data sets are converted in a wavelet basis by applying a high angular resolution complex wavelet transform. When corresponding coefficients of the data set representations in the wavelet basis differ more than predefined thresholds the coefficients are attenuated as corresponding to noise.
    Type: Application
    Filed: September 11, 2014
    Publication date: December 3, 2015
    Applicant: CGG SERVICES SA
    Inventors: Can PENG, Rongxin HUANG, Yi XUAN
  • Publication number: 20140200818
    Abstract: Methods and systems for shear noise attenuation based on matching vertical particle velocity data and pressure data are described. The shear noise attenuation is based on the fact that different stages of the analysis can be performed with different numbers of wavelet orientations. The analysis is performed for frequency sub-bands for all wave numbers and vice versa.
    Type: Application
    Filed: May 15, 2013
    Publication date: July 17, 2014
    Applicant: CGGVERITAS SERVICE SA
    Inventors: Can PENG, Rongxin HUANG, Biniam ASMEROM
  • Publication number: 20130282292
    Abstract: Methods and systems for optimized receiver-based ghost filter generation are described. The optimized ghost filter self-determines its parameters based on an iterative calculation of recorded data transformed from a time-space domain to a Tau-P domain. An initial ghost filter prediction is made based on generating mirror data from the recorded data and using a least squares technique during a premigration stage.
    Type: Application
    Filed: March 18, 2013
    Publication date: October 24, 2013
    Inventors: Ping WANG, Can PENG
  • Patent number: 8192669
    Abstract: This invention relates to the fabrication of large area nanoimprint molds having complex patterns with minimal or no use of direct-writing, such as electron beam lithography, ion, laser beam, or mechanical beam lithography. This can be accomplished by forming a pattern of simple nanoscale features and converting the simple features into more complex nanoscale features by a process comprising shadow deposition. The process may also include steps of uniform deposition, etching and smoothing depending on the shape of the complex features.
    Type: Grant
    Filed: May 27, 2009
    Date of Patent: June 5, 2012
    Inventors: Stephen Y. Chou, Can Peng, Wendi Li, Shufeng Bai