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  • 时时彩计划软件怎么选:Seismic Attribute Analysis

    后一万能码 2期内中 www.qgqx.net attribute analysis bannerThe goal of seismic attribute analysis is to improve the spatial prediction of structural and stratigraphic features, as well as petrophysical and geomechanical rock properties throughout the reservoir. Key to the analysis is discovering the linear, and often non-linear, relationships between the seismic trace and production indicators.

    Determining the Production Drivers

    Seismic traces are composite responses to geological factors such as lithology, fluid saturations and geomechanical properties. Unraveling the influence each rock property has on the seismic trace and identifying a seismic attribute or combination of attributes which is capable of predicting that property is a mainstay of the CGG GeoConsulting reservoir characterization workflow.

    Petrophysical rock property analysis from well logs and core/cuttings gives us insights into what is driving production in the reservoir. Forward modeling is then employed to identify key seismic attributes that distinguish these primary controls on production.

    inverted-curve-dataKey Attributes Used in Interpretation

    Seismic attributes are sensitive to lateral changes in geology so are utilized to assist in mapping facies, reservoir properties and faults.

    • Complex trace attributes help to interpret lateral continuity of stratigraphic events, bedding geometry, and the presence of hydrocarbon
    • Geometric attributes are used to characterize stratigraphic features and for fault/fracture detection
    • Time-Frequency attributes of Spectral Decomposition increase the seismic resolution to highlight lateral variability of depositional features and faults

    Multi-Attribute Analysis for Rock Property Prediction

    attributesIndividual seismic attributes give us indications of many subtle properties, however the real enhancement in predictive accuracy and reliability of results comes from combining multiple seismic attributes and solving the non-linear relationship between the seismic attributes and reservoir properties.
    Multi-linear regression and neural network techniques are employed to determine which seismic attributes should be combined to predict a particular reservoir property.  Ultimately, 3D volumes of rock properties or other production indicators are generated.

    The improved geologic interpretation and prediction of production indicators assist in the identification of preferential drilling locations and completion practices.

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    World-class geophysical interpretation for seismic exploration and reservoir characterization, all accessible to any geophysicist.
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    Seismic Reservoir Characterization

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    GeoSoftware - Rock Properties & Probabilities

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  • 太坏了!傅欢遇“断子绝孙腿” 这动作红牌都不冤 2019-04-17
  • 市民工地发现并机智"抢回" 4件圆明园流散文物终"回家" 2019-04-17
  • 世界杯成中国企业营销升级大战场 2019-04-15
  • 中东部地区将有强降雨 京津冀等地有轻至中度霾 2019-04-11
  • 郑永年:新时代的清醒判断 2019-04-11
  • 让协商民主优势得以充分发挥 2019-04-10
  • 网友给太原市市长留言获回复 共计11条 2019-04-09
  • 尧都区车站街建设社区老党员高德宏同志手抄“党章”庆党生 2019-04-09
  • 正心正念 爱国爱教 佛界楷模 2019-04-02
  • 防治土地荒漠化 新疆保护生态兼顾农民增收 2019-04-02
  • 许倬云作序《现代的历程》:现代人的天问 2019-03-31
  • 证监会:首发审核政策始终没有变化 2019-03-31
  • 2008年全球金融危机之后,为什么金融危机发源地的美国,欧债危机重灾区的欧洲各国股市连续7年走牛,屡创历史新高,唯经济最好的中国股市却连续7年熊冠全球?去年中国 2018-11-17
  • 完成自己的第一部电影, 她23岁就做到了 2018-11-17