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New anisotropic parameter to enhance lithology identification in Clastic reservoir

机译:增强碎屑岩储层岩性识别的新各向异性参数

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Litho-facies classification is a crucial step in reservoir characterization. It becomes more important once lithology identification needs to be conducted in a Clastic reservoir for discrimination of shale and sand layers. For this purpose there are several practical and useful attributes which can be employed for litho-facies prediction away from the wells after pre-stack seismic inversion. Vp/Vs, μρ and SQp are among the most prominent attributes that are widely utilized in industry as a direct indicator of clay volume. Considering effective anisotropic medium, Alkhalifah introduced anisotropic parameter (η) which is well known for separating shale from sand and is similar to smoothed gamma ray log. A new anisotropic parameter (v) is presented in this study which compared to (η) would be competitive and more accurate for lithology identification especially in a finely layered media.
机译:岩相分类是储层描述的关键步骤。一旦需要在碎屑岩储层中进行岩性识别以识别页岩和砂层,这一点就变得更加重要。为此,在叠前地震反演后,有几个实用且有用的属性可用于远离井的岩相预测。Vp/Vs、μρ和SQp是工业上广泛使用的最显著的属性之一,可作为粘土体积的直接指标。考虑到有效的各向异性介质,Alkhalifah引入了各向异性参数(η),该参数与平滑伽马射线测井类似,用于分离页岩和砂。本研究中提出了一个新的各向异性参数(v),与(η)相比,该参数在岩性识别方面更具竞争力,更准确,尤其是在细层状介质中。

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