Seismic to simulation

Results: 107



#Item
1Energy Efficient Seismic Wave Propagation Simulation on a Low-power Manycore Processor. Marcio Castro, Fabrice Dupros, Emilio Francesquini, Jean-Fran¸cois Mehaut, Philippe Olivier Alexandre Navaux  To cite this version:

Energy Efficient Seismic Wave Propagation Simulation on a Low-power Manycore Processor. Marcio Castro, Fabrice Dupros, Emilio Francesquini, Jean-Fran¸cois Mehaut, Philippe Olivier Alexandre Navaux To cite this version:

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Source URL: hal-brgm.archives-ouvertes.fr

- Date: 2016-12-23 08:45:31
    2

    PDF Document

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    Source URL: www.rmag.org

    Language: English - Date: 2016-01-15 18:11:05
    3Fizz and gas reservoir differentiation based on stochastic inversion Xin-gang Chi and De-hua Han Department of Geosciences, University of Houston AVO attributes of gradient and intercept are related to the reservoir prop

    Fizz and gas reservoir differentiation based on stochastic inversion Xin-gang Chi and De-hua Han Department of Geosciences, University of Houston AVO attributes of gradient and intercept are related to the reservoir prop

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    Source URL: www.rpl.uh.edu

    Language: English - Date: 2008-12-09 16:10:41
    4Consortium meeting before SEG Beijing

    Consortium meeting before SEG Beijing

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    Source URL: www.rpl.uh.edu

    Language: English - Date: 2009-03-27 13:37:28
    5Rock physics based probabilistic lithology and fluid prediction in a heterogeneous carbonate reservoir

    Rock physics based probabilistic lithology and fluid prediction in a heterogeneous carbonate reservoir

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    Source URL: www.rpl.uh.edu

    Language: English - Date: 2013-08-30 15:12:16
    6Combined Bayesian AVO inversion with rock physics  to predict gas carbonate reservoir

    Combined Bayesian AVO inversion with rock physics to predict gas carbonate reservoir

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    Source URL: www.rpl.uh.edu

    Language: English - Date: 2011-10-10 15:19:56
    7Software  Deeper Insight For Reservoir Characterisation Merrie-Ellen Gunning B. App. Sci (Geology) MBA  Fig. 1. The 3D viewer is at the core of Insight. Co-rendering allows the user to visually combine multiple volumes (

    Software Deeper Insight For Reservoir Characterisation Merrie-Ellen Gunning B. App. Sci (Geology) MBA Fig. 1. The 3D viewer is at the core of Insight. Co-rendering allows the user to visually combine multiple volumes (

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    Source URL: www.dugeo.com

    Language: English - Date: 2014-08-20 05:18:54
    8Quantitative Interpretation  The aim of quantitative interpretation (QI) is, through the use of amplitude analysis, to predict lithology and fluid content away from the well bore. This process should make use of all avai

    Quantitative Interpretation The aim of quantitative interpretation (QI) is, through the use of amplitude analysis, to predict lithology and fluid content away from the well bore. This process should make use of all avai

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    Source URL: www.dugeo.com

    Language: English - Date: 2014-08-20 05:14:23
    9stratigraphy and well correlation Decreasing uncertainty in your model It is essential to develop a good understanding of the geometry, continuity and depositional settings of the sediment

    stratigraphy and well correlation Decreasing uncertainty in your model It is essential to develop a good understanding of the geometry, continuity and depositional settings of the sediment

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    Source URL: www.gns.cri.nz

    Language: English - Date: 2010-08-26 01:23:09
    10Quantitative Interpretation  The aim of quantitative interpretation (QI) is, through the use of amplitude analysis, to predict lithology and fluid content away from the well bore. This process should make use of all avai

    Quantitative Interpretation The aim of quantitative interpretation (QI) is, through the use of amplitude analysis, to predict lithology and fluid content away from the well bore. This process should make use of all avai

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    Source URL: www.dugeo.com

    Language: English - Date: 2014-08-20 05:14:17