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  • 时时彩包赢公式0369:Petrophysics & Rock Physics

    后一万能码 2期内中 www.qgqx.net petrophysics banner

    Petrophysical & Rock Physics Analysis for Seismic-Driven Reservoir Modeling

    We integrate log, core/cuttings and production data to obtain physical properties such as mineralogy, porosity, permeability, and fluid saturations. The goal is to assess accurate reservoir rock and fluid properties at well locations to be integrated with seismic data and its derivatives.

    Petrophysical conditioning of well log data is performed to remove artifacts in the data caused by borehole or other problems during logging. Well logs are conditioned in entirety, from surface-casing to TD, and elastic logs (VP, VS, and density) are extended to the surface for accurate seismic integration.

    Data issues identified and corrected may include, but are not limited to:

    1. neutron-densityEffects from borehole washouts, extreme environments, oil-based mud systems, and tool failures
    2. Invasion effects in permeable intervals
    3. Poorly-constrained mineral composition and fluid-properties
    4. Thin and laminated beds below well-log resolution
    5. Missing logs or gaps in logged intervals (e.g. shear velocity, water saturation)
    6. Poor depth alignment between well logs (e.g. from tool pulls)
    7. 4D time lapse effects between well logs, seismic, and production data

    Rock Physics

    Rock physics modeling requires an understanding of underlying geology, rock and fluid properties, and seismic attributes associated with AVO, including those generated from seismic inversion. 

    well logA common goal of rock physics is to establish relationships between rock properties measured in the laboratory or inferred from well logs, to the seismic response, often in the form of elastic moduli (such as Young’s modulus).  Petrophysics is a natural bridge between laboratory (core-scale) and seismic data

    Conditioned well log responses are calibrated to rock measurements, which can then be directly up-scaled to seismic resolution, or indirectly used to add detail or constrain seismic results through the use of statistical methods.

    well corrRock physics modeling relates changes in reservoir properties, such as pore-fluid saturation, lithology, porosity, pressure and temperature, to seismic signatures.  This allows the use of seismic data in the prediction of reservoir quality and production drivers, including post-mortem of poorly-performing wells and dry holes.  These relationships are also used to understand and improve interpretation of seismic attributes and inversion results.  Examples include Gassmann fluid-substitution, which provides insight into hydrocarbon effects on seismic attributes through forward models, and lithofacies classification using multivariate analysis of elastic attributes common to inverted seismic and well logs.  Because of its close relationship to geomechanics, rock physics can also inform geomechanical workflows seeking to model brittle-failure of rocks during well completions.

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    Providing nano-metre scale digital imaging, and micron resolution digital petrographic analysis.

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    Machine Learning

    Machine learning enables clearer reservoir understanding and faster, more efficient data analysis so you can predict curves based on existing log data.
  • 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