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Inverse-volume pore pressure projection technique for the coupling of reservoir flow and geomechanics simulators

机译:反体积孔隙压力投影技术,用于耦合储层流和地质力学模拟器

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摘要

Coupling geomechanical reservoir models with fluid flow models improves accuracy whenrnsimulating phenomena relevant to production forecast, drilling and well integrity, and environmental impactrn(e.g. fault reactivation). A geomechanical model provides to a hydrodynamical model updated values of porernvolume and permeability, and a hydrodynamical model in turn provides to a geomechanical model updates tornthe pore pressure, which then alters effective stress. The main challenge in coupling is the exchange of data.rnThis work presents three different pore pressure projection schemes used for data exchange, that are based onrnweighted averages (inverse distance, volume, and by inverse of the volume). To validate the three methods, thernpressure projected was compared with a hydrostatic pressure distribution while accounting for changes in thernsize of the surrounding cells of the hydrodynamical model. The weighting by the inverse of the volume showsrnthe better agreement with hydrostatic pore pressure distribution of the three techniques presented. As a furtherrndemonstration, the three methods were compared within a small reservoir model with varying cell sizes, and therninverse volume method performs favorably. Finally an extension to the inverse volume method was developed,rnin which permeability is included in the weighting factors. Its effect is demonstrated in a benchmark systemrnincluding both a reservoir and a nonpay region.
机译:在模拟与产量预测,钻井和井身完整性以及环境影响(例如断层复活)有关的现象时,将地质力学储层模型与流体流动模型相结合可以提高准确性。地质力学模型向流体力学模型提供孔隙体积和渗透率的更新值,而流体力学模型又向地质力学模型提供孔隙压力的更新值,从而改变有效应力。耦合的主要挑战是数据交换。这项工作提出了三种不同的用于数据交换的孔隙压力投影方案,这些方案基于加权平均值(距离,体积和体积的倒数)。为了验证这三种方法,将预测的压力与静水压力分布进行了比较,同时考虑了流体力学模型周围单元的温度变化。体积倒数的加权显示与所介绍的三种技术的静水孔隙压力分布更好地吻合。作为进一步的论证,在一个具有不同单元大小的小型储层模型中对这三种方法进行了比较,并且反向体积法的效果很好。最后,对反体积法进行了扩展,将渗透率包括在加权因子中。它的效果在包括储层和非产油区的基准系统中得到了证明。

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  • 来源
    《Energy geotechnics》|2016年|319-326|共8页
  • 会议地点 Kiel(DE)
  • 作者单位

    Repsol Technology Centre, Móstoles, Madrid, Spain;

    Repsol Technology Centre, Móstoles, Madrid, Spain;

    IBM-Research, Río de Janeiro, Brazil;

    IBM-Research, Río de Janeiro, Brazil;

    IBM-Research, Río de Janeiro, Brazil;

    Repsol Technology Hub, TheWoodlands, Texas, USA;

    Repsol Technology Hub, TheWoodlands, Texas, USA;

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  • 原文格式 PDF
  • 正文语种 eng
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