Patents by Inventor GARY WAYNE MCNEICE
GARY WAYNE MCNEICE 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).
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Patent number: 11346970Abstract: Seismic data from seismic exploration surveys are mapped into a hypercube of bins or voxels in a four-dimensional space (X, Y, Offset, and Azimuth) according to Common Mid-Point (or CMP) between source and receivers. The mapped data from individual voxels or bins is then analyzed by multimodal statistics. Robust estimates of first break picks are obtained from the analysis. The first break picks are then used to as seed inputs for autopicking iteration, which proceeds to convergence. Estimates of confidence levels in the data are provided for re-picking to reduce computer processing time in successive autopicking iterations. Analysis is provided of different seismic attributes such as azimuthal velocity variations indicative of anisotropy, positioning errors of sources/receivers, geometry errors, and three dimensional distribution of inversion residuals. Analysis is also performed of standard deviation of the travel time data useful for estimating data errors in the inversion covariance matrix.Type: GrantFiled: August 31, 2018Date of Patent: May 31, 2022Assignee: Saudi Arabian Oil CompanyInventors: Daniele Colombo, Federico Miorelli, Diego Rovetta, Gary Wayne Mcneice
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Patent number: 11340370Abstract: Seismic data from seismic exploration surveys are mapped into a hypercube of bins or voxels in a four-dimensional space (X, Y, Offset, and Azimuth) according to Common Mid-Point (or CMP) between source and receivers. The mapped data from individual voxels or bins is then analyzed by multimodal statistics. Robust estimates of first break picks are obtained from the analysis. The first break picks are then used to as seed inputs for autopicking iteration, which proceeds to convergence. Estimates of confidence levels in the data are provided for re-picking to reduce computer processing time in successive autopicking iterations. Analysis is provided of different seismic attributes such as azimuthal velocity variations indicative of anisotropy, positioning errors of sources/receivers, geometry errors, and three dimensional distribution of inversion residuals. Analysis is also performed of standard deviation of the travel time data useful for estimating data errors in the inversion covariance matrix.Type: GrantFiled: August 31, 2018Date of Patent: May 24, 2022Assignee: Saudi Arabian Oil CompanyInventors: Daniele Colombo, Federico Miorelli, Diego Rovetta, Gary Wayne Mcneice
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Patent number: 11269106Abstract: A system and method of evaluating and correcting for the effects of a near-surface anomaly on surface-to-borehole (STB) measurement data in a geological halfspace includes transmitting electromagnetic radiation from an EM source located on a ground surface which is positioned over the near-surface anomaly, measuring EM fields at a plurality of remote EM receivers located on the surface at a far distance from the EM source, obtaining vertical STB measurement data downhole, determining an orientation and moment of a secondary source equivalent dipole associated with the near-surface anomaly excited by the radiation transmitted by the EM source based on measurements of the EM fields at the plurality of remote receivers, determining a correction factor for the secondary source equivalent dipole on the EM field measurements at the plurality of remote receivers, and removing the effects of the near surface anomaly on the vertical STB measurement data using the correction factor.Type: GrantFiled: August 26, 2019Date of Patent: March 8, 2022Assignees: Saudi Arabian Oil Company, SCHLUMBERGER TECHNOLOGY CORPORATIONInventors: Gary Wayne McNeice, Daniele Colombo, Nestor H. Cuevas, Mauro Pezzoli
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Publication number: 20210063598Abstract: A system and method of evaluating and correcting for the effects of a near-surface anomaly on surface-to-borehole (STB) measurement data in a geological halfspace comprises transmitting electromagnetic radiation from an EM source located on a ground surface which is positioned over the near-surface anomaly, measuring EM fields at a plurality of remote EM receivers located on the surface at a far distance from the EM source, obtaining vertical STB measurement data downhole, determining an orientation and moment of a secondary source equivalent dipole associated with the near-surface anomaly excited by the radiation transmitted by the EM source based on measurements of the EM fields at the plurality of remote receivers, determining a correction factor for the secondary source equivalent dipole on the EM field measurements at the plurality of remote receivers, and removing the effects of the near surface anomaly on the vertical STB measurement data using the correction factor.Type: ApplicationFiled: August 26, 2019Publication date: March 4, 2021Inventors: Gary Wayne McNeice, Daniele Colombo, Nestor H. Cuevas, Mauro Pezzoli
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Patent number: 10401528Abstract: In one embodiment, a method includes receiving one or more datasets including measured vertical electric and magnetic fields excited by one or more radial and azimuthal electric field antennas from a downtool into one or more processors, wherein each of the one or more datasets corresponds to a different position of the one or more radial azimuthal electric field antennas, simultaneously inverting the one or more datasets using the one or more processors, and as a result of the simultaneous inversion, generating by the one or more processors a three-dimensional (3D) image of a portion of the geological formation.Type: GrantFiled: November 25, 2015Date of Patent: September 3, 2019Assignees: SCHLUMBER TECHNOLOGY CORPORATION, SAUDI ARABIAN OIL COMPANYInventors: Nestor Cuevas, Michael Wilt, Ping Zhang, Jiuping Chen, Daniele Colombo, Gary Wayne McNeice
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Publication number: 20190011587Abstract: Seismic data from seismic exploration surveys are mapped into a hypercube of bins or voxels in a four-dimensional space (X, Y, Offset, and Azimuth) according to Common Mid-Point (or CMP) between source and receivers. The mapped data from individual voxels or bins is then analyzed by multimodal statistics. Robust estimates of first break picks are obtained from the analysis. The first break picks are then used to as seed inputs for autopicking iteration, which proceeds to convergence. Estimates of confidence levels in the data are provided for re-picking to reduce computer processing time in successive autopicking iterations. Analysis is provided of different seismic attributes such as azimuthal velocity variations indicative of anisotropy, positioning errors of sources/receivers, geometry errors, and three dimensional distribution of inversion residuals. Analysis is also performed of standard deviation of the travel time data useful for estimating data errors in the inversion covariance matrix.Type: ApplicationFiled: August 31, 2018Publication date: January 10, 2019Inventors: DANIELE COLOMBO, FEDERICO MIORELLI, DIEGO ROVETTA, GARY WAYNE MCNEICE
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Publication number: 20180372897Abstract: Seismic data from seismic exploration surveys are mapped into a hypercube of bins or voxels in a four-dimensional space (X, Y, Offset, and Azimuth) according to Common Mid-Point (or CMP) between source and receivers. The mapped data from individual voxels or bins is then analyzed by multimodal statistics. Robust estimates of first break picks are obtained from the analysis. The first break picks are then used to as seed inputs for autopicking iteration, which proceeds to convergence. Estimates of confidence levels in the data are provided for re-picking to reduce computer processing time in successive autopicking iterations. Analysis is provided of different seismic attributes such as azimuthal velocity variations indicative of anisotropy, positioning errors of sources/receivers, geometry errors, and three dimensional distribution of inversion residuals. Analysis is also performed of standard deviation of the travel time data useful for estimating data errors in the inversion covariance matrix.Type: ApplicationFiled: August 31, 2018Publication date: December 27, 2018Inventors: DANIELE COLOMBO, Federico Miorelli, Diego Rovetta, Gary Wayne Mcneice
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Patent number: 10067255Abstract: Seismic data from seismic exploration surveys are mapped into a hypercube of bins or voxels in a four-dimensional space (X, Y, Offset, and Azimuth) according to Common Mid-Point (or CMP) between source and receivers. The mapped data from individual voxels or bins is then analyzed by multimodal statistics. Robust estimates of first break picks are obtained from the analysis. The first break picks are then used to as seed inputs for autopicking iteration, which proceeds to convergence. Estimates of confidence levels in the data are provided for re-picking to reduce computer processing time in successive autopicking iterations. Analysis is provided of different seismic attributes such as azimuthal velocity variations indicative of anisotropy, positioning errors of sources/receivers, geometry errors, and three dimensional distribution of inversion residuals. Analysis is also performed of standard deviation of the travel time data useful for estimating data errors in the inversion covariance matrix.Type: GrantFiled: September 4, 2015Date of Patent: September 4, 2018Assignee: Saudi Arabian Oil CompanyInventors: Daniele Colombo, Federico Miorelli, Diego Rovetta, Gary Wayne McNeice
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Publication number: 20170068008Abstract: Seismic data from seismic exploration surveys are mapped into a hypercube of bins or voxels in a four-dimensional space (X, Y, Offset, and Azimuth) according to Common Mid-Point (or CMP) between source and receivers. The mapped data from individual voxels or bins is then analyzed by multimodal statistics. Robust estimates of first break picks are obtained from the analysis. The first break picks are then used to as seed inputs for autopicking iteration, which proceeds to convergence. Estimates of confidence levels in the data are provided for re-picking to reduce computer processing time in successive autopicking iterations. Analysis is provided of different seismic attributes such as azimuthal velocity variations indicative of anisotropy, positioning errors of sources/receivers, geometry errors, and three dimensional distribution of inversion residuals. Analysis is also performed of standard deviation of the travel time data useful for estimating data errors in the inversion covariance matrix.Type: ApplicationFiled: September 4, 2015Publication date: March 9, 2017Inventors: DANIELE COLOMBO, FEDERICO MIORELLI, DIEGO ROVETTA, GARY WAYNE MCNEICE