Stochastic Seismic Inversion Based on a Fuzzy Model

E. Kovalevskiy, M. Volkova
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Abstract

Summary The cause of the low efficiency of geostatistical seismic inversion based on sequential Gaussian simulation (SGS) is explained as follows. In spite of the non-stationary type of initial borehole impedance sections, SGS generates stationary realizations of the same vertical sections. This results in the stationary cubes of predicted impedance values in which all deterministic features are erased. This article proposes using impedance section realizations obtained from a fuzzy model rather than from SGS. The first accurately represent the local statistics of borehole impedance sections, which allows the resulting impedance cubes to clearly show the deterministic features of a geological object. The method is illustrated with an example of the inversion for a real seismic cube.
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基于模糊模型的随机地震反演
摘要分析了序贯高斯模拟(SGS)地震统计反演效率低的原因。尽管初始井眼阻抗剖面为非平稳型,但SGS可以生成相同垂直剖面的平稳实现。这导致预测阻抗值的平稳立方体,其中所有确定性特征都被擦除。本文建议使用模糊模型得到的阻抗剖面实现,而不是使用SGS。第一种方法精确地表示了井眼阻抗剖面的局部统计数据,这使得得到的阻抗立方体能够清楚地显示地质对象的确定性特征。以实际地震立方体的反演为例说明了该方法的有效性。
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