Paul J. Lee - Houston TX Warren S. Ross - Houston TX John V. Young - Humble TX Michael M. Zhang - Sugar Land TX Doug Angevine - Spring TX Steve E. Heiney - Houston TX
Assignee:
ExxonMobil Upstream Research Company - Houston TX
International Classification:
G01V 138
US Classification:
367 24, 367 25, 181110, 181112
Abstract:
An apparatus and method for suppressing multiples in the collection of marine seismic data comprises at least one source positioned in the body of water; at least one receiver positioned in the body of water below the air-water interface and near the sources; a bubble diffuser positioned in the body of water so that the bubbles emitted by the bubble diffuser are positioned between the receivers and the air-water interface, wherein the emitted bubbles provide high acoustic reflection and substantially suppress specular reflection of seismic waves; and a control for activating the bubble diffuser during the collection of seismic data by the sources and receivers.
Michael W. Norris - Cypress TX, US Steven E. Heiney - Houston TX, US Warren S. Ross - Houston TX, US Marvin L. Johnson - The Woodlands TX, US
Assignee:
ExxonMobil Upstream Research Co. - Houston TX
International Classification:
B01F 3/04
US Classification:
2611221, 261124, 367 15, 367 24
Abstract:
Method and apparatus for producing a bubble curtain with a diversity of bubble diameters for purposes such as suppressing surface-related multiple reflections in marine seismic surveys. Bubble generating elements are used that combine porous wall material with discrete holes.
Method For Electromagnetic Air-Wave Suppression By Active Cancellation And Shielding
Scott C. Hornbostel - Houston TX, US Warren S. Ross - Houston TX, US Leonard J. Srnka - Bellaire TX, US
Assignee:
ExxonMobil Upstream Research Co. - Houston TX
International Classification:
G01V 1/40
US Classification:
702 9
Abstract:
Method for reducing air wave and/or magnetotelluric noise in controlled source electromagnetic surveying by either shielding the source () from the air interface, shielding the receivers from downward traveling electromagnetic energy, or by employing a second source () to preferentially cancel the air wave (and MT) part of the signal, or a combination of the preceding.
Michael W. Norris - Cypress TX, US Steven E. Heiney - Houston TX, US Warren S. Ross - Houston TX, US Marvin L. Johnson - The Woodlands TX, US
Assignee:
ExxonMobil Upstream Research Company - Houston TX
International Classification:
B01F 3/04
US Classification:
261120, 2611221, 261124
Abstract:
Method and apparatus for producing a bubble curtain with a diversity of bubble diameters for purposes such as modifying the characteristics of a seismic source used in marine seismic surveys. Bubble generating elements are used that combine porous wall material with discrete holes () to create a curtain of diverse-sized bubbles ().
Method To Adapt A Template Dataset To A Target Dataset By Using Curvelet Representations
Ramesh Neelamani - Houston TX, US Anatoly Baumstein - Houston TX, US Warren S. Ross - Houston TX, US
Assignee:
ExxonMobil Upstream Research Company - Houston TX
International Classification:
H03F 1/26 G01V 1/00 G06G 7/48
US Classification:
702191, 367 73, 703 10
Abstract:
Method for adapting a template to a target data set. The template may be used to remove noise from, or interpret noise in, the target data set. The target data set is transformed () using a selected complex-valued, directional, multi-resolution transform (‘CDMT’) satisfying the Hubert transform property at least approximately. An initial template is selected, and it is transformed () using the same CDMT. Then the transformed template is adapted () to the transformed target data by adjusting the template's expansion coefficients within allowed ranges of adjustment so as to better match the expansion coefficients of the target data set. Multiple templates may be simultaneously adapted to better fit the noise or other component of the data that it may be desired to represent by template.
Method For Performing Constrained Polarization Filtering
Mamadou S. Diallo - Houston TX, US Marvin L. Johnson - Chromo CO, US Warren S. Ross - Houston TX, US Christine E. Krohn - Houston TX, US
Assignee:
ExxonMobil Upstream Research Comapny - Houston TX
International Classification:
G01V 1/00 G01V 1/28 G06F 19/00
US Classification:
702 17, 367 31, 702 18
Abstract:
An exemplary method for filtering multi-component seismic data is provided. One or more characteristics of the seismic data corresponding to a relative manifestation of surface wave noise on the different components, such as polarization attributes, are identified. A time-frequency boundary in the seismic data is also identified in the time-frequency transform domain, the time-frequency boundary delineating portions of the seismic data estimated to contain surface wave noise (). Finally, filtered seismic data are created () by removing portions of the seismic data that correspond to the identified characteristics of surface waves and that are within the time-frequency boundary ().
Surface Wave Mitigation In Spatially Inhomogeneous Media
Sunwoong Lee - Houston TX, US Warren S. Ross - Houston TX, US
Assignee:
ExxonMobil Upstream Research Company - Houston TX
International Classification:
G01V 1/00
US Classification:
367 38, 702 17
Abstract:
Embodiments are directed to systems and methods () that enable spatial variability of surface waves to be accounted for in dispersion correction in seismic data processing. This yields superior surface wave noise mitigation, with reduced likelihood of attenuating signal. Embodiments are operative with spatially inhomogeneous media.
Characterizing Spatial Variability Of Surface Waves In Seismic Processing
Sunwoong Lee - Houston TX, US Warren S. Ross - Houston TX, US
Assignee:
ExxonMobil Upstream Research Company - Houston TX
International Classification:
G01V 1/36
US Classification:
367 43, 367 38, 702 17
Abstract:
Embodiments use seismic processing methods that account for the spatial variability of surface wave velocities. Embodiments analyze surface wave properties by rapidly characterizing spatial variability of the surface waves in the seismic survey data (). Filtering criteria are formed using the spatial variability of the surface waves (). The filtering criteria can then be used to remove at least a portion of the surface waves from the seismic data (). The rapid characterization involves estimating a local group velocity of the surface waves by cross-correlation of the analytic signals ().
Dr. Ross graduated from the University of Buffalo, SUNY School of Medicine and Biomedical Sciences in 1971. He works in Ellicott City, MD and specializes in Internal Medicine.