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首页> 外文期刊>Journal of geophysics and engineering >Using time-lapse seismic amplitude data to detect variations of pore pressure and fluid saturation due to oil displacement by water: a numerical study based on one-dimensional prestack inversion
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Using time-lapse seismic amplitude data to detect variations of pore pressure and fluid saturation due to oil displacement by water: a numerical study based on one-dimensional prestack inversion

机译:利用时移地震振幅数据检测水驱油引起的孔隙压力和流体饱和度变化:基于一维叠前反演的数值研究

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摘要

We describe a numerical study performed to appraise the ability of seismic amplitude data to infer the time evolution of pore pressure and fluid saturation due to hydrocarbon production. To this end, we construct a synthetic, spatially heterogeneous hydrocarbon reservoir model that is subject to numerical simulation of multiphase fluid flow. Hydrocarbon production is assumed in the form of one water-injection well and four oil-producing wells. The synthetic reservoir model exhibits average porosities of 20% and poses significant vertical resolution constraints to the usage of seismic amplitude data to ascertain variations of pore pressure and fluid saturation. We assume the availability of migrated prestack seismic amplitude and use one-dimensional models to simulate trace by trace the seismic amplitude data before and after the onset of production. One-dimensional seismic amplitude data are simulated in time-lapse mode making use of a rock physics model that includes the effect of differential compaction between sands and shales as a function of depth of burial. The sensitivity study presented in this paper is based on one-dimensional inversion and hence sheds light on the vertical resolution properties of noisy seismic amplitude data. Multiphase fluid-flow parameters have a measurable impact on fluid saturation and pore pressure and hence on the spatial distribution and time evolution of elastic parameters. However, the inverted spatial distributions of elastic parameters at best correlate with smooth spatial averages of the actual distributions of pore pressure and fluid saturation. Because for the case under consideration time-lapse seismic amplitude variations are of the order of 5%, such a correlation would be difficult, if not impossible, to ascertain without the use of one-dimensional inversion. We show that the elastic parameters inverted from prestack seismic amplitude data provide more degrees of freedom to discriminate between time variations of pore pressure and fluid saturation in the reservoir compared to distributions of acoustic impedance inverted from poststack seismic amplitude data.
机译:我们描述了一个进行的数值研究,以评估地震振幅数据推断由于烃类产生而引起的孔隙压力和流体饱和度随时间变化的能力。为此,我们构建了一个合成的,空间上非均质的油气藏模型,该模型要进行多相流体流动的数值模拟。假设以一口注水井和四口产油井的形式生产碳氢化合物。合成油藏模型的平均孔隙度为20%,并且对使用地震振幅数据来确定孔隙压力和流体饱和度的变化具有明显的垂直分辨率约束。我们假设迁移后的叠前地震振幅是可用的,并使用一维模型通过跟踪生产开始前后的地震振幅数据来模拟轨迹。利用岩石物理模型,以时移模式模拟一维地震振幅数据,该模型包括砂岩和页岩之间压实差异与埋藏深度的函数关系。本文中提出的敏感性研究基于一维反演,因此可以揭示嘈杂的地震振幅数据的垂直分辨率特性。多相流体流动参数对流体饱和度和孔隙压力具有可测量的影响,因此对弹性参数的空间分布和时间演化具有可测量的影响。但是,弹性参数的倒置空间分布最多与孔隙压力和流体饱和度实际分布的平滑空间平均值相关。因为对于所考虑的情况,时移地震振幅变化约为5%,所以即使不是不可能,也很难确定这种相关性,而无需使用一维反演。我们表明,与从叠后地震振幅数据反演的声阻抗分布相比,从叠前地震振幅数据反演的弹性参数提供了更大的自由度来区分储层中孔隙压力和流体饱和度的时间变化。

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