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首页> 外文期刊>Bulletin de la Societe Geologique de France >Geostatistical modelling (3D) of the stratigraphic unit surfaces of the Gulf of Lion western margin (Mediterranean Sea) based on seismic profiles
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Geostatistical modelling (3D) of the stratigraphic unit surfaces of the Gulf of Lion western margin (Mediterranean Sea) based on seismic profiles

机译:基于地震剖面的狮子湾西缘(地中海)地层单元表面的地统计建模(3D)

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摘要

The purpose of this study is to build efficiently and automatically a three-dimensional geometric model of the stratigraphic units of the Gulf of Lion margin on the basis of geophysical investigations by a network of seismic profiles, using geostatistics. We want to show that geostatistics can produce unbiased maps of the morphology of submarine stratigraphic units, and furthermore that some specific features of these units can be found, that classical manual mapping may ignore. Depth charts of each surface identified by seismic profiling describe the geometry of these units. The geostatistical approach starts with a statistical analysis to determine the type and parameters of the variograms of the variable "depth" of each identified surface. The variograms of these surfaces show that they are mostly non-stationary. We therefore tried the following two non-stationary methods to map the desired surfaces : (i) the method of universal kriging in case the underlying variogram was directly accessible; (ii) the method of increments if the underlying variogram was not directly accessible. After having modelled the variograms of the increments and of the variable itself, we calculated the surfaces by kriging the variable "depth" on a small-mesh estimation grid. The depth charts of each surface calculated with the geostatistical model are then interpreted in terms of their geological significance, which makes it possible to suggest hypotheses on the influence of major processes, such as tectonics and rivers (Rhône, Hérault, etc.) on the sedimentary structure of the gulf of Lion margin. The added value of geostatistics for this interpretation is emphasized. These unusual geostatistical methods are capable of being widely used in earth sciences for automatic mapping of "non-stationary" geometric surfaces, i.e. surfaces that possess a gradient or a trend developing systematically in space, such as piezometric or concentrations surfaces. Key Words: Seismic stratigraphy • Passive margin • Gulf of Marseille • Geostatistics • Variograms • Automatic mapping
机译:这项研究的目的是在地球物理调查的基础上,有效,自动地建立狮子湾边缘地层单位的三维几何模型。sup 通过地震剖面网络,使用地统计。我们希望 证明地统计学可以生成海底地层单位 形态的无偏图,并且 这些单位的某些特定特征可以发现, 经典手动映射可能会忽略。通过地震剖面识别的每个表面 的深度图描述了这些 单元的几何形状。地统计方法从统计 分析开始,以确定每个已识别表面的变量“深度”的变异函数 的类型和参数。这些表面的方差图 表明它们大部分是非平稳的。 因此,我们尝试了以下两种非平稳方法 来映射所需的表面:(i)万能克里金法 ,如果可以直接访问基本的方差图; (ii) 如果基础变量不能直接 访问的增量方法。在对 的增量和变量本身的变异函数建模之后,我们通过在小网格估计上克里格变量“ depth”来计算 曲面。 sup> grid。 然后,根据地统计 模型计算出的每个表面的深度图根据其地质意义 进行解释。提出关于构造和河流等主要过程(罗纳河, Hérault等)对海湾沉积结构的影响 的假设>狮缘。强调了 解释的地统计学的附加值。这些异常的地统计学方法能够 在地球科学中广泛用于自动映射“非平稳”几何表面(即具有 的表面)。关键词:地震地层•被动边缘•马赛湾•地统计学•变异函数•自动绘制•测压或集中表面等在空间上系统发展的梯度或趋势。

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  • 来源
    《Bulletin de la Societe Geologique de France》 |2007年第1期|25-38|共14页
  • 作者单位

    Institut National de Recherche Scientifique et Technique, Tunis, Tunisie. hayet_chihi@inrst.rnrt.tn;

    CEFREM, UMR5110, Université Via Domitiá, Lab. Biophysique et Dynamique des Systèmes intégrés, 52 av. P. Alduy, 66860 Perpignan. tesson@univ-perp.fr;

    Ecole des Mines de Paris, 60 bd St Michel, 75006 Paris. alain.galli@ensmp.fr;

    Université Pierre et Marie Curie, UMR Sisyphe, B. 105, 4, place Jussieu, 75252 Paris cedex 05. gdm@ccr.jussieu.fr;

    Institut Fran?ais du Pétrole, Division géologie-géophysique-géochimie, 1–4 av. de Bois Préau, 92582 Rueil-Malmaison cedex. christian.ravenne@ifp.fr;

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