Patents Assigned to Spectraseis AG
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Patent number: 8451685Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. These dynamic particle parameters are stored in a form for display. Maximum values of the dynamic particle parameters may be interpreted as reservoir locations. The dynamic particle parameters may be particle displacement values, particle velocity values, particle acceleration values or particle pressure values. The sensors may be three-component sensors. Zero-phase frequency filtering of different ranges of interest may be applied. The data may be resampled to facilitate efficient data processing.Type: GrantFiled: September 25, 2011Date of Patent: May 28, 2013Assignee: Spectraseis AGInventors: Erik Saenger, Brian Steiner, Stefan Schmalholz
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Patent number: 8358561Abstract: A method of locating subsurface hydrocarbon reservoirs includes acquiring seismic data, extracting seismic data attributes from the seismic data, calculating exemplar data group probability density function values using distribution values associated with the seismic attributes and applying Bayesian inversion to determine the likelihood of subsurface hydrocarbons.Type: GrantFiled: April 13, 2010Date of Patent: January 22, 2013Assignee: Spectraseis AGInventors: Michael Carl Kelly, Nima Riahi, Martine Ruiz, Weiwei
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Patent number: 8233350Abstract: A method and system of detecting and mapping a subsurface hydrocarbon reservoir includes acquiring seismic data having a plurality of components, applying a data transform to the seismic data to obtain seismic data spectral component maxima and maxima profiles, and recording the maxima or maxima profile in a form for display.Type: GrantFiled: August 29, 2008Date of Patent: July 31, 2012Assignee: Spectraseis AGInventors: Marc-André Lambert, Erik Hans Saenger, Stefan Schmalholz
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Patent number: 8219320Abstract: A method and system for processing three component seismic data includes determining a covariance data matrix from three component seismic data for each of a plurality of time periods to obtain eigenvectors and eigenvalues. One or more seismic attributes are calculated from the eigenvectors and eigenvalues for each of a plurality of time periods. A stability measure is determined from the calculated seismic attribute for each of the plurality of time periods and stored for display.Type: GrantFiled: April 7, 2008Date of Patent: July 10, 2012Assignee: Spectraseis AGInventor: Erik Hans Saenger
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Patent number: 8179740Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. These dynamic particle parameters are stored in a form for display. Maximum values of the dynamic particle parameters may be interpreted as reservoir locations. The dynamic particle parameters may be particle displacement values, particle velocity values, particle acceleration values or particle pressure values. The sensors may be three-component sensors. Zero-phase frequency filtering of different ranges of interest may be applied. The data may be resampled to facilitate efficient data processing.Type: GrantFiled: September 25, 2011Date of Patent: May 15, 2012Assignee: Spectraseis AGInventors: Erik Saenger, Brian Steiner, Stefan Schmalholz
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Publication number: 20120113751Abstract: A method and system of for determining near surface velocity structure and statics corrections includes acquiring multicomponent seismic data associated with a sensor location, computing spectrograms for all orthogonal components of the multicomponent seismic data using a processing unit, calculating a median H/V spectrum, calculating an initial Rayleigh ellipticity solution associated with the sensor location and inverting the values associated with the median H/V spectrum with a forward-modelled Rayleigh ellipticity solution to determine a velocity depth distribution associated with the sensor location.Type: ApplicationFiled: July 12, 2010Publication date: May 10, 2012Applicant: SPECTRASEIS AGInventor: Alexander Goertz
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Publication number: 20120116682Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data propagation process is applied to the synchronized array measurements to obtain dynamic particle parameters associated with subsurface locations. A maximum energy density imaging condition is applied to the dynamic particle parameters to obtain imaging values associated with subsurface locations. Subsurface positions of energy sources are located from the relative maximum of a plurality of the imaging values associated with subsurface locations.Type: ApplicationFiled: December 15, 2010Publication date: May 10, 2012Applicant: SPECTRASEIS AGInventor: Erik Hans Saenger
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Publication number: 20120022791Abstract: A method and system of detecting and mapping a subsurface hydrocarbon reservoir includes determining ratio data for a plurality of orthogonal spectral components of naturally occurring low frequency background seismic data. The ratio data may be compared, plotted, contoured and displayed as a subsurface hydrocarbon reservoir map or a hydrocarbon potential map. The ratio data may represent a vertical spectral component of the seismic data over a horizontal spectral component of the seismic data. The subsurface hydrocarbon reservoir map may include contouring the ratio data over a geographical area associated with the seismic data.Type: ApplicationFiled: September 25, 2011Publication date: January 26, 2012Applicant: Spectraseis AGInventors: Yuri Podladchikov, Marc-André Lambert, Rodolphe Dewarrat, Stefan Schmalholz
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Publication number: 20120014214Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data propagation process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. Imaging conditions are applied to the dynamic particle parameters to obtain image values associated with subsurface energy source locations.Type: ApplicationFiled: September 25, 2011Publication date: January 19, 2012Applicant: SPECTRASEIS AGInventors: Brad Artman, Erik Saenger, Brian Steiner, Benjamin Witten
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Publication number: 20120016591Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data propagation process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. Imaging conditions are applied to obtain imaging values that may be summed or stacked to obtain a time reverse image attribute. A volume of imaging values may be scaled by a non-signal noise function to obtain a modified image that is compensated for noise effects.Type: ApplicationFiled: September 26, 2011Publication date: January 19, 2012Applicant: SPECTRASEIS AGInventors: Brad Artman, Benjamin Witten
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Publication number: 20120014216Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. These dynamic particle parameters are stored in a form for display. Maximum values of the dynamic particle parameters may be interpreted as reservoir locations. The dynamic particle parameters may be particle displacement values, particle velocity values, particle acceleration values or particle pressure values. The sensors may be three-component sensors. Zero-phase frequency filtering of different ranges of interest may be applied. The data may be resampled to facilitate efficient data processing.Type: ApplicationFiled: September 25, 2011Publication date: January 19, 2012Applicant: Spectraseis AGInventors: Erik Saenger, Brian Steiner, Stefan Schmalholz
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Publication number: 20120014215Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. These dynamic particle parameters are stored in a form for display. Maximum values of the dynamic particle parameters may be interpreted as reservoir locations. The dynamic particle parameters may be particle displacement values, particle velocity values, particle acceleration values or particle pressure values. The sensors may be three-component sensors. Zero-phase frequency filtering of different ranges of interest may be applied. The data may be resampled to facilitate efficient data processing.Type: ApplicationFiled: September 25, 2011Publication date: January 19, 2012Applicant: Spectraseis AGInventors: Erik Saenger, Brian Steiner, Stefan Schmalholz
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Publication number: 20120016592Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data propagation process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. Imaging conditions are applied to obtain imaging values that may be summed or stacked to obtain a time reverse image attribute. A volume of imaging values may be scaled by a non-signal noise function to obtain a modified image that is compensated for noise effects.Type: ApplicationFiled: September 26, 2011Publication date: January 19, 2012Applicant: SPECTRASEIS AGInventors: Brad Artman, Benjamin Witten
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Publication number: 20110292764Abstract: A method of locating subsurface hydrocarbon reservoirs includes acquiring seismic data, extracting seismic data attributes from the seismic data, calculating exemplar data group probability density function values using distribution values associated with the seismic attributes and applying Bayesian inversion to determine the likelihood of subsurface hydrocarbons.Type: ApplicationFiled: April 13, 2010Publication date: December 1, 2011Applicant: Spectraseis AGInventors: Michael Carl Kelly, Nima Riahi, Martine Ruiz, Weiwei
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Patent number: 8068384Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. These dynamic particle parameters are stored in a form for display. Maximum values of the dynamic particle parameters may be interpreted as reservoir locations. The dynamic particle parameters may be particle displacement values, particle velocity values, particle acceleration values or particle pressure values. The sensors may be three-component sensors. Zero-phase frequency filtering of different ranges of interest may be applied. The data may be resampled to facilitate efficient data processing.Type: GrantFiled: March 9, 2010Date of Patent: November 29, 2011Assignee: Spectraseis AGInventors: Erik Saenger, Brian Steiner, Stefan Schmalholz
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Publication number: 20110286305Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data propagation process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. Imaging conditions are applied to the dynamic particle parameters to obtain image values associated with subsurface energy source locations.Type: ApplicationFiled: January 20, 2010Publication date: November 24, 2011Applicant: SPECTRASEIS AGInventors: Brad Artman, Benjamin Witten, Erik Saenger, Brian Steiner
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Publication number: 20110276272Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data propagation process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. Imaging conditions are applied to obtain imaging values that may be summed or stacked to obtain a time reverse image attribute. A volume of imaging values may be scaled by a non-signal noise function to obtain a modified image that is compensated for noise effects.Type: ApplicationFiled: January 20, 2010Publication date: November 10, 2011Applicant: SPECTRASEIS AGInventors: Brad Artman, Benjamin Witten
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Publication number: 20100161233Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. These dynamic particle parameters are stored in a form for display. Maximum values of the dynamic particle parameters may be interpreted as reservoir locations. The dynamic particle parameters may be particle displacement values, particle velocity values, particle acceleration values or particle pressure values. The sensors may be three-component sensors. Zero-phase frequency filtering of different ranges of interest may be applied. The data may be resampled to facilitate efficient data processing.Type: ApplicationFiled: March 7, 2010Publication date: June 24, 2010Applicant: Spectraseis AGInventors: Erik Saenger, Brian Stainer, Stefan Schmalholz
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Publication number: 20100157732Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. These dynamic particle parameters are stored in a form for display. Maximum values of the dynamic particle parameters may be interpreted as reservoir locations. The dynamic particle parameters may be particle displacement values, particle velocity values, particle acceleration values or particle pressure values. The sensors may be three-component sensors. Zero-phase frequency filtering of different ranges of interest may be applied. The data may be resampled to facilitate efficient data processing.Type: ApplicationFiled: March 9, 2010Publication date: June 24, 2010Applicant: Spectraseis AGInventors: Erik Saenger, Brian Steiner, Stefan Schmalholz
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Publication number: 20100161234Abstract: A method and system for processing synchronous array seismic data includes acquiring synchronous passive seismic data from a plurality of sensors to obtain synchronized array measurements. A reverse-time data process is applied to the synchronized array measurements to obtain a plurality of dynamic particle parameters associated with subsurface locations. These dynamic particle parameters are stored in a form for display. Maximum values of the dynamic particle parameters may be interpreted as reservoir locations. The dynamic particle parameters may be particle displacement values, particle velocity values, particle acceleration values or particle pressure values. The sensors may be three-component sensors. Zero-phase frequency filtering of different ranges of interest may be applied. The data may be resampled to facilitate efficient data processing.Type: ApplicationFiled: March 9, 2010Publication date: June 24, 2010Applicant: Spectraseis AGInventors: Erik Saenger, Brian Steiner, Stefan Schmalholz