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Application of Sequential Indicator Simulation in Geological Study of X Oilfield in Zhujiangkou Basin

机译:序贯指标模拟在珠江口盆地X油田地质研究中的应用。

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Sequential indicator simulation is a commonly used method for discrete variable simulation in 3D geological modeling and a widely used stochastic simulation method, which can be used not only for continuous variable simulation but also for discrete variable simulation. In this paper, the X Oilfield in the western South China Sea is taken as an example to compare the sequential indicator simulation method and the Indicator Kriging interpolation method. The results of the final comparison show that the results of the lithofacies model established by the Indicator Kriging deterministic interpolation method are overly smooth, and its coincidence rate with the geological statistical results is not high, thus cannot well reflect the heterogeneity of the underground reservoir, while the simulation results of the lithofacies model established by the sequential indicator stochastic simulation method can fit well with the statistical law of the well, which has eliminated the smoothing effect of Kriging interpolation, thus can better reflect the heterogeneity of the underground reservoir. Therefore, the sequential indicator simulation is more suitable for the characterization of sand bodies and the study of reservoir heterogeneity.
机译:顺序指示器模拟是3D地质建模中离散变量模拟的一种常用方法,也是一种广泛使用的随机模拟方法,不仅可以用于连续变量模拟,而且可以用于离散变量模拟。本文以南海西部的X油田为例,比较了连续指标模拟方法和指标克里格插值方法。最终比较结果表明,采用指标克里格确定性插值方法建立的岩相模型的结果过于平滑,与地质统计结果的吻合率不高,因此不能很好地反映地下储层的非均质性,用序贯指标随机模拟方法建立的岩相模型模拟结果与井的统计规律吻合较好,消除了克里格插值的平滑作用,可以较好地反映地下储层的非均质性。因此,顺序指标模拟更适合于砂体的表征和储层非均质性的研究。

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