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A method for determining sedimentary facies using 3D seismic data

机译:一种利用3D地震数据确定沉积相的方​​法

摘要

The present invention describes a method for adaptively determining a plurality of sedimentary facies from 3D seismic data, comprising the steps of (a) generating an attribute volume 106 comprising at least one attribute from said 3D seismic data; (b) generating at least one frequency decomposition colour blend volume 104 from said 3D seismic data; (c) generating a data volume 108 comprising at least one geological object utilising data from said attribute volume and said frequency decomposition colour blend volume; (d) generating a facies classification model dataset 300 for a predetermined region of interest of said 3D seismic data applying a probabilistic algorithm and utilizing data from said geobody volume and said frequency decomposition colour blend volume; (e) selectively adjusting at least one first model parameter, so as to optimise said facies classification model dataset in accordancewith a conceptual geological model; and (f) selectively providing said facies classification model dataset in a representative property model of said region of interest of said 3D seismic data. The attribute volume may be an edge detection volume. To optimise the facies classification dataset, an acceptance threshold and facies count may be adjusted by the user.
机译:本发明描述了一种用于从3D地震数据中自适应地确定多个沉积相的方​​法,包括以下步骤:(a)从所述3D地震数据中生成包括至少一个属性的属性体106;以及(b)从所述3D地震数据生成至少一个频率分解颜色混合体104; (c)利用来自所述属性体和所述频率分解颜色混合体的数据生成包括至少一个地质对象的数据体108; (d)应用概率算法并利用来自所述地体体积和所述频率分解颜色混合体积的数据,为所述3D地震数据的预定感兴趣区域生成相分类模型数据集300; (e)选择性地调整至少一个第一模型参数,以便根据概念地质模型优化所述相分类模型数据集; (f)在所述3D地震数据的所述感兴趣区域的代表性属性模型中选择性地提供所述相分类模型数据集。属性体可以是边缘检测体。为了优化相分类数据集,用户可以调整可接受阈值和相计数。

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