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首页> 外文会议>Indonesian Petroleum Association Twenty-Eighth Annual Convention Vol.1, Feb 26-28, 2002, Jakarta >RESERVOIR CHARACTERISATION THROUGH INTEGRATED AVO, AI AND EI INVERSION
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RESERVOIR CHARACTERISATION THROUGH INTEGRATED AVO, AI AND EI INVERSION

机译：通过集成的AVO，AI和EI反演进行储层表征

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摘要

The seismic response to hydrocarbons has long been recognised as a potential means of directly predicting petrophysical and fluid properties in the subsurface. An integrated workflow that draws on the latest developments in prestack and poststack seismic inversion, incorporating AVO, AI and EI inversion, allows better distinction between seismic anomalies caused by lithology and those caused by hydrocarbons. By creating relationships between these inversion attributes and logged petrophysical properties it is possible to produce petrophysical property volumes and by mathematical manipulation of impedance cubes, create volumes of rock properties such as bulk modulus, rigidity and incompressibility. Recent developments in seismic inversion techniques allow us to draw more direct information about the reservoir properties and fluid content than can be obtained using "direct" hydrocarbon indicators or conventional AVO attributes such as normal incidence reflectivity and gradient sections. Prestack AVO inversion produces a series of AVO reflectivity volumes by separating out the P-wave and S-wave reflectivities from the data and these can be used to derive secondary attributes more closely related to fluid properties. Poststack inversion of these reflectivities generates elastic and acoustic impedance volumes that can be correlated with well data to derive relationships with known petrophysical properties. An integrated workflow adds considerable value over isolated attributes as it combines the latest technology in both prestack and poststack seismic inversion, Seismic modelling, attribute interpretation and reservoir fluid prediction, leading towards a thorough understanding of the seismic response to hydrocarbons and a rapid economic assessment of hydrocarbon prospects.
机译：长期以来，人们对碳氢化合物的地震反应一直被认为是直接预测地下岩石物理和流体性质的潜在手段。集成的工作流程利用了叠前和叠后地震反演的最新发展，并结合了AVO，AI和EI反演，可以更好地区分岩性引起的地震异常和碳氢化合物引起的地震异常。通过在这些反演属性和测井的岩石物理特性之间建立关系，可以产生岩石物理特性体积，并通过数学计算阻抗立方，创建岩石体积特性，例如体积模量，刚度和不可压缩性。地震反演技术的最新发展使我们能够比使用“直接”碳氢化合物指示剂或常规AVO属性（例如法向入射反射率和梯度剖面）获得更多有关储层性质和流体含量的直接信息。叠前AVO反演通过从数据中分离出P波和S波反射率，产生一系列AVO反射率体积，这些反射率可用于导出与流体特性更紧密相关的次要属性。这些反射率的叠后反演会产生弹性和声阻抗体积，可以将其与油井数据关联起来，以得出与已知岩石物理特性的关系。集成的工作流程结合了叠前和叠后地震反演，地震建模，属性解释和储层流体预测方面的最新技术，从而为孤立的属性带来了可观的价值，从而使您能够全面了解碳氢化合物的地震反应并快速评估油气资源。油气前景。

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