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首页> 外文期刊>Journal of natural gas science and engineering >Porosity estimation from pre-stack seismic data in gas-hydrate bearing sediments, Krishna-Godavari basin, India
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Porosity estimation from pre-stack seismic data in gas-hydrate bearing sediments, Krishna-Godavari basin, India

机译:根据印度克里希纳-戈达瓦里盆地含天然气水合物沉积物叠前地震数据估算孔隙度

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摘要

There exist several empirical and statistical methods for estimating porosity from post-stack seismic data. Here we implement and demonstrate a method for direct estimation of porosity from pre-stack seismic data. Rather than solving" for acoustic impedance and then mapping those to porosity, we estimate porosity reflectivity. We demonstrate our approach with an application to 2D seismic dataset from Krishna-Godavari basin, which is inverted directly for porosity by simultaneous inversion of angle-stacks. The total porosity estimated from the density log for the depth interval of 1059-1224 m ranges from 49 to 85%. This relaticinship is used as an input for porosity inversion from the 2D pre-stack seismic data of gas hydrate bearing sediments. Our result images two distinct gas hydrate saturate zones in the porosity image; they are in close agreement with interpretations based on characterization of fractured filled gas hydrate saturation. The porosity along our 2D multichannel seismic section within the time interval of 1450-1615 ms ranges from 50 to 75% within the gas hydrate bearing sediments and unconsolidated sediments below the bottom simulating reflector. The water-bearing silty/clay sediments are characterized by porosity values of about 60-70%. The results demonstrate that the proposed approach is a fast and reliable method for estimating porosity directly from seismic data. (C) 2016 Elsevier B.V. All rights reserved.
机译:有几种经验和统计方法可以根据叠后地震数据估算孔隙度。在这里,我们实现并演示了一种根据叠前地震数据直接估算孔隙度的方法。我们不是求解“声阻抗”,而是将其映射到孔隙度,而是估计孔隙度反射率。我们将其应用于克里希纳-哥达瓦里盆地的二维地震数据集中,通过角度倒置的同时反演来直接反演孔隙度,从而证明了我们的方法。根据密度测井估算的深度范围为1059-1224 m的总孔隙度在49%至85%之间,这种相关性被用作二维含气水合物沉积物叠前地震数据反演孔隙度的输入。在孔隙度图像中描绘了两个不同的天然气水合物饱和带;它们与基于裂缝状填充天然气水合物饱和度表征的解释非常吻合,在1450-1615 ms时间间隔内,沿着我们的二维多通道地震剖面的孔隙度范围从50至底部模拟反射器下方含天然气水合物的沉积物和未固结沉积物中的含量为75%。 ents的特征是孔隙率约为60-70%。结果表明,该方法是一种直接根据地震数据估算孔隙度的快速,可靠的方法。 (C)2016 Elsevier B.V.保留所有权利。

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