Stefan A Hussenoeder

age ~54

from Sugar Land, TX

Also known as:
  • Stefan A Laarkamp
  • Stefon Hussenoeder
  • Stefan R
Phone and address:
14303 Ragus Lake Dr, Sugar Land, TX 77478
2812773502

Stefan Hussenoeder Phones & Addresses

  • 14303 Ragus Lake Dr, Sugar Land, TX 77478 • 2812773502
  • Klemme, IA
  • Houston, TX
  • Falmouth, MA
  • Falls City, NE
  • Hancock, IA
  • 14303 Ragus Lake Dr, Sugar Land, TX 77498

Us Patents

  • Seismic Horizon Skeletonization

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  • US Patent:
    20110048731, Mar 3, 2011
  • Filed:
    Apr 24, 2009
  • Appl. No.:
    12/920013
  • Inventors:
    Matthias G. Imhof - Katy TX, US
    Dominique G. Gillard - Houston TX, US
    Stefan Hussenoeder - Sugar Land TX, US
    Dimitrov Pavel - Houston TX, US
    Martin Terrell - Spring TX, US
    Krishnan Kumaran - Raritan NJ, US
    Fred Schroeder - Tomball TX, US
  • International Classification:
    E21B 43/00
    G01V 1/00
  • US Classification:
    166369, 367 38
  • Abstract:
    Method for analysis of hydrocarbon potential of subterranean regions by generating surfaces or geobodies and analyzing them for hydrocarbon indications. Reflection-based surfaces may be automatically created in a topologically consistent manner where individual surfaces do not overlap themselves and sets of multiple surfaces are consistent with stratigraphic superposition principles. Initial surfaces are picked from the seismic data (), then broken into smaller parts (“patches”) that are predominantly topologically consistent (), whereupon neighboring patches are merged in a topologically consistent way () to form a set of surfaces that are extensive and consistent (“skeleton”). Surfaces or geobodies thus extracted may be automatically analyzed and rated () based on a selected measure () such as one or more direct hydrocarbon indications (“DHI”), e.g. AVO classification. Topological consistency for one or more surfaces may be defined as no self overlap plus local and global consistency among multiple surfaces ().
  • Windowed Statistical Analysis For Anomaly Detection In Geophysical Datasets

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  • US Patent:
    20110297369, Dec 8, 2011
  • Filed:
    Sep 30, 2009
  • Appl. No.:
    13/121630
  • Inventors:
    Krishnan Kumaran - Raritan NJ, US
    Jingbo Wang - New York NY, US
    Stefan Hussenoeder - Sugar Land TX, US
    Dominique Gillard - Houston TX, US
    Guy F. Medema - Magnolia TX, US
    Fred W. Schroeder - Tomball TX, US
    Robert L. Brovey - League City TX, US
    Pavel Dimitrov - Houston TX, US
  • International Classification:
    E21B 49/00
    E21B 43/00
    G06F 19/00
  • US Classification:
    16625001, 702 11
  • Abstract:
    Method for identifying geologic features from geophysical or attribute data using windowed principal component (or independent component) analysis. Subtle features are made identifiable in partial or residual data volumes. The residual data volumes () are created by () eliminating data not captured by the most prominent principal components (). The partial data volumes are created by () projecting the data on to selected principal components. The method is suitable for identifying physical features indicative of hydrocarbon potential.
  • Method For Seismic Hydrocarbon System Analysis

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  • US Patent:
    20130064040, Mar 14, 2013
  • Filed:
    Apr 22, 2011
  • Appl. No.:
    13/695226
  • Inventors:
    Matthias G. Imhof - Katy TX, US
    Pavel Dimitrov - Houston TX, US
    Kelly Wrobel - Houston TX, US
    Krishnan Kumaran - Raritan NJ, US
    Martin J. Terrell - Spring TX, US
    Stefan Hussenoeder - Sugar Land TX, US
  • International Classification:
    G01V 1/30
  • US Classification:
    367 73
  • Abstract:
    Method for analyzing seismic data representing a subsurface region for presence of a hydrocarbon system or a particular play. Seismic attributes are computed, the attributes being selected to relate to the classical elements of a hydrocarbon system, namely reservoir, seal, trap, source, maturation, and migration. Preferably, the attributes are computed along structural fabrics () of the subsurface region, and are smoothed over at least tens or hundreds of data voxels. The resulting geologic attributes () are used to analyze the data for elements of the hydrocarbon system and/or recognition of specific plays, and for ranking and annotating partitioned regions () of the data volume based on size, quality, and confidence in the prospectivity prediction (). A catalogue () of hydrocarbon trap configurations may be created and used to identify potential presence of hydrocarbon traps and/or aid in scoring () and ranking partitioned regions as hydrocarbon prospects.
  • Seismic Horizon Skeletonization

    view source
  • US Patent:
    20130151161, Jun 13, 2013
  • Filed:
    Feb 1, 2013
  • Appl. No.:
    13/757466
  • Inventors:
    Matthias G. Imhof - Katy TX, US
    Dominique G. Gillard - Houston TX, US
    Stefan Hussenoeder - Sugar Land TX, US
    Pavel Dimitrov - Houston TX, US
    Martin J. Terrell - Spring TX, US
    Krishnan Kumaran - Raritan NJ, US
  • International Classification:
    G01V 1/00
    G06F 17/00
  • US Classification:
    702 14
  • Abstract:
    Method for analysis of hydrocarbon potential of subterranean regions by generating surfaces or geobodies and analyzing them for hydrocarbon indications. Reflection-based surfaces may be automatically created in a topologically consistent manner where individual surfaces do not overlap themselves and sets of multiple surfaces are consistent with stratigraphic superposition principles. Initial surfaces are picked from the seismic data (), then broken into smaller parts (“patches”) that are predominantly topologically consistent (), whereupon neighboring patches are merged in a topologically consistent way () to form a set of surfaces that are extensive and consistent (“skeleton”). Surfaces or geobodies thus extracted may be automatically analyzed and rated () based on a selected measure () such as AVO classification or one or more other direct hydrocarbon indicators (“DHI”). Topological consistency for one or more surfaces may be defined as no self overlap plus local and global consistency among multiple surfaces ().
  • Method For Post Processing Compensation Of Amplitude For Misaligned And Misstacked Offset Seismic Data

    view source
  • US Patent:
    6757216, Jun 29, 2004
  • Filed:
    May 15, 2003
  • Appl. No.:
    10/438540
  • Inventors:
    Peter Varnai - Houston TX
    Stefan Hussenoeder - Sugar Land TX
    Brian P. West - Houston TX
    John E. Eastwood - Bellaire TX
    Spyridon K. Lazaratos - Spring TX
  • Assignee:
    ExxonMobil Upstream Research Company - Houston TX
  • International Classification:
    G01V 136
  • US Classification:
    367 47, 367 52, 367 59, 367 49, 702 14, 702 17
  • Abstract:
    A method for assessing the suitability of seismic data for quantitative amplitude analysis, where the concern is excessive residual normal moveout (RNMO). The invention uses a near offset stack and a far offset stack, the time difference between the two, a mute pattern, a reflection shape assumption for the RNMO, and a waveform and frequency for the far stack traces to generate a formula that estimates far stack amplitude error caused by RNMO. The formula can be used to compensate the far stack amplitude where the error is not so great as to require reprocessing of the data. The method can also be applied to interpreted amplitude maps.
  • Windowed Statistical Analysis For Anomaly Detection In Geophysical Datasets

    view source
  • US Patent:
    20110272161, Nov 10, 2011
  • Filed:
    May 6, 2010
  • Appl. No.:
    12/775226
  • Inventors:
    Krishnan Kumaran - Raritan NJ, US
    Jingbo Wang - New York NY, US
    Stefan Hussenoeder - Sugarland TX, US
    Dominique G. Gillard - Houston TX, US
    Guy F. Medema - Magnolia TX, US
    Fred W. Schroeder - Tomball TX, US
    Robert L. Brovey - League City TX, US
    Pavel Dimitrov - Houston TX, US
    Matthew S. Casey - Houston TX, US
  • International Classification:
    E21B 43/00
    G06F 17/18
    G01V 9/00
  • US Classification:
    166369, 702 11, 702179
  • Abstract:
    Method for identifying geologic features from geophysical or attribute data using windowed principal component (), or independent component, or diffusion mapping () analysis. Subtle features are made identifiable in partial or residual data volumes. The residual data volumes () are created by () eliminating data not captured by the most prominent principal components (). The partial data volumes are created by () projecting the data () on to selected principal components (). Geologic features may also be identified from pattern analysis () or anomaly volumes () generated with a variable-scale data similarity matrix (). The method is suitable for identifying physical features indicative of hydrocarbon potential.

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