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EAGE 2004: THE RESERVOIR QUALIFICATION OF SEISMIC DATA USING GEOSTATISTICSEAGE 2004: THE RESERVOIR QUALIFICATION OF SEISMIC DATA USING GEOSTATISTICSEAGE 2004: THE RESERVOIR QUALIFICATION OF SEISMIC DATA USING GEOSTATISTICSEAGE 2004: THE RESERVOIR QUALIFICATION OF SEISMIC DATA USING GEOSTATISTICS
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  • EAGE 2000 GLASGOW : QUALITY CHECK OF AUTOMATIC VELOCITY PICKING D. LE MEUR COMPAGNIE GENERALE DE GEOPHYSIQUE, MASSY, FRANCE
    EAGE 2000 GLASGOW : QUALITY CHECK OF AUTOMATIC VELOCITY PICKING D. LE MEUR COMPAGNIE GENERALE DE GEOPHYSIQUE, MASSY, FRANCE
    0
    Authors  
    D. Le Meur Compagnie Générale de Géophysique, Massy, France ; C. Magneron Earth Resource Management Services, France.
    Date
    May 19, 2015
    Over the last few years, fast methods for estimating the dense stacking velocity of seismic data has developed. These automated picking methods allow an improvement in […]
  • Eage 2003 : Spatial Quality Control Of Seismic Stacking Velocities Using Geostatistics
    EAGE 2003 : SPATIAL QUALITY CONTROL OF SEISMIC STACKING VELOCITIES USING GEOSTATISTICS
    EAGE 2003 : SPATIAL QUALITY CONTROL OF SEISMIC STACKING VELOCITIES USING GEOSTATISTICS
    0
    Authors  
    C. MAGNERON, A. LERON AND L. SANDJIVY ERM.S, 16 rue du Château, 77300 Fontainebleau, France
    Date
    May 19, 2015
    The supervision of stacking velocity data sets, whether hand or automatic picking, is crucial before entering the stack process itself or any other pre-stack or post-stack […]
  • Eage 2004: The Reservoir Qualification Of Seismic Data Using Geostatistics
    EAGE 2004: THE RESERVOIR QUALIFICATION OF SEISMIC DATA USING GEOSTATISTICS
    EAGE 2004: THE RESERVOIR QUALIFICATION OF SEISMIC DATA USING GEOSTATISTICS
    0
    Authors  
    AUTHORS : LUC SANDJIVY, ALAIN LERON AND SARAH BOUDON (Seisquare) Earth Resource Management SERVICES 16 rue du château 77300 Fontainebleau France
    Date
    May 19, 2015
    Major new breakthroughs in geophysical acquisition and processing aim at providing reservoir engineers with detailed and reliable data that contribute to reservoir modeling and monitoring. Although […]
  • Eage 2009 : Sigma Processing Of Vsp Data
    EAGE 2009 : SIGMA PROCESSING OF VSP DATA
    EAGE 2009 : SIGMA PROCESSING OF VSP DATA
    0
    Authors  
    Thomas Gronnwald – Luc Sandjivy – Robert Della Malva – Arben Shtuka –– SEISQUARE Jean Luc Mari – IFP SCHOOL
    Date
    May 15, 2015
    After having previously successfully compared the factorial kriging filter to their most common geophysical counterparts, a full processing of VSP data using probability modelling (geostatistics) has […]
  • Eage 2010: Sigma Processing Of Psdm Data – A Case Study
    EAGE 2010: SIGMA PROCESSING OF PSDM DATA – A CASE STUDY
    EAGE 2010: SIGMA PROCESSING OF PSDM DATA – A CASE STUDY
    0
    Authors  
    F. Piriac (SeisQuaRe), L. Sandjivy* (SeisQuaRe), A. Shtuka (SeisQuaRe), J.L. Mari (IFP) & C. Haquet (Shell)
    Date
    May 19, 2015
    Stochastic modelling and processing (sigma processing) has been applied to a real PSDM data set (pre and post stack) in order to evaluate its contribution to […]
  • EAGE 2011 GEOSTATISTICAL SEISMIC DATA PROCESSING EQUIVALENT TO CLASSICAL SEISMIC PROCESSING UNCERTAINTIES
    EAGE 2011: GEOSTATISTICAL SEISMIC DATA PROCESSING: EQUIVALENT TO CLASSICAL SEISMIC PROCESSING + UNCERTAINTIES!
    EAGE 2011: GEOSTATISTICAL SEISMIC DATA PROCESSING: EQUIVALENT TO CLASSICAL SEISMIC PROCESSING + UNCERTAINTIES!
    0
    Authors  
    A. Shtuka* (SeisQuaRe), L. Sandjivy (SeisQuaRe), J.L. Mari (IFP School), J.F.Dutzer (GDF Suez), F. Piriac (SeisQuaRe) & R. Gil (SeisQuaRe)
    Date
    May 15, 2015
    Geostatistical “filters” using Factorial Kriging are increasingly used for cleaning geophysical data sets from organized spatial noises that are difficult to get rid of by standard […]
  • Eage 2014: Consistent Uncertainty Quantification On Seismic Amplitudes
    EAGE 2014: CONSISTENT UNCERTAINTY QUANTIFICATION ON SEISMIC AMPLITUDES
    EAGE 2014: CONSISTENT UNCERTAINTY QUANTIFICATION ON SEISMIC AMPLITUDES
    0
    Authors  
    Luc Sandjivy (Seisquare) A Shtuka (Seisquare) JL Mari (IFP school ) B Yven (Andra)
    Date
    May 18, 2015
    Within its mission to design and build an engineered storage facility for thehigh level radioactive wastes in the eastern Paris Basin, the French National Radioactive Waste […]
  • Eage Rome 2008 : Why Should We Use Probability Models For Seismic Data Processing?
    EAGE ROME 2008 : WHY SHOULD WE USE PROBABILITY MODELS FOR SEISMIC DATA PROCESSING?
    EAGE ROME 2008 : WHY SHOULD WE USE PROBABILITY MODELS FOR SEISMIC DATA PROCESSING?
    0
    Authors  
    A Case Study Comparing Wiener and Kriging Filters L. Sandjivy, T. Faucon, T. Gronnwald – SEISQUARE / J-L. Mari – IFP SCHOOL
    Date
    May 15, 2015
    Why should we use probability models for processing seismic amplitude data? How spatial filters such as factorial kriging compare to their deterministic counter parts? It is […]
  • Sbgf 2003: Improving Time Migration Velocity Fields Using Geostatistics
    SBGF 2003: IMPROVING TIME MIGRATION VELOCITY FIELDS USING GEOSTATISTICS
    SBGF 2003: IMPROVING TIME MIGRATION VELOCITY FIELDS USING GEOSTATISTICS
    0
    Authors  
    L. Sandjivy, A. Léron, O. Torres ERM.S, France, B. Fathi Norsk Agip, Norway
    Date
    May 19, 2015
    The control of the spatial consistency of the velocity fields that are input to the time migration process is crucial as it directly impacts the resulting […]
  • Seg 1997: Use Of Geostatistics To Improve Seismic Velocities: Case Studies. J.L. Piazza* Total Cst Saint Remy-Les-Chevreuse France
    SEG 1997: USE OF GEOSTATISTICS TO IMPROVE SEISMIC VELOCITIES: CASE STUDIES. J.L. PIAZZA* TOTAL CST SAINT REMY-LES-CHEVREUSE FRANCE
    SEG 1997: USE OF GEOSTATISTICS TO IMPROVE SEISMIC VELOCITIES: CASE STUDIES. J.L. PIAZZA* TOTAL CST SAINT REMY-LES-CHEVREUSE FRANCE
    0
    Authors  
    L. Sandjivy and S. Legeron ERM.S France
    Date
    May 19, 2015
    Seismic velocities are used in varied geological contexts for various purposes. The quality of these data depends on a wide range of causes related to seismic […]
  • Seg 2010: Sigma Processing Of Pre-Stack Data For Optimizing Avo Analysis: A Case Study On The Forties Field
    SEG 2010: SIGMA PROCESSING OF PRE-STACK DATA FOR OPTIMIZING AVO ANALYSIS: A CASE STUDY ON THE FORTIES FIELD
    SEG 2010: SIGMA PROCESSING OF PRE-STACK DATA FOR OPTIMIZING AVO ANALYSIS: A CASE STUDY ON THE FORTIES FIELD
    0
    Authors  
    Florent Piriac, Arben Shtuka*, Romain Gil, Luc Sandjivy, SEISQUARE, France, Klaas Koster, Apache North Sea
    Date
    May 15, 2015
    The sigma processing of seismic data has already proven its capability to remove noise and separate waves on pre and post stack seismic data (Piriac & […]
  • Seg Houston 2009 : A Generalized Probabilistic Approach For Processing Seismic Data
    SEG HOUSTON 2009 : A GENERALIZED PROBABILISTIC APPROACH FOR PROCESSING SEISMIC DATA
    SEG HOUSTON 2009 : A GENERALIZED PROBABILISTIC APPROACH FOR PROCESSING SEISMIC DATA
    0
    Authors  
    Arben Shtuka*, Thomas Gronnwald and Florent Piriac, SeisQuare, France
    Date
    May 15, 2015
    The noise removal, wave separation and de-convolution present an important issue in seismic processing. All those seismic processing tasks deal with an observed seismic signal which […]

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About Seisquare

Seisquare applies geostatistical techniques to rapidly characterize uncertainties throughout G&G workflows in Petrel*. This results in probabilistic estimates of the subsurface that our customers use to improve E&P decisions linked to wellbore placement.

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