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Simultaneous estimation of relative permeability and capillary pressure for tight formations using ensemble-based history matching method

机译:基于集合的历史匹配方法同时估算致密地层的相对渗透率和毛细压力

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摘要

An ensemble-based method has been developed and successfully applied to simultaneously estimate relative permeability and capillary pressure curves for tight formations by history matching the measurement data. The power-law and B-spline models are first used to represent the relative permeability and capillary pressure curves, respectively. Then, parameters of such two models are tuned automatically and finally determined once the measurement data is assimilated completely and history matched. The estimation of relative permeability and capillary pressure has been found to improve progressively and the corresponding uncertainties are mitigated gradually as more measurement data is assimilated. As assimilation of the measurement data is completed, an excellent agreement has been found between the updated and reference relative permeability and capillary pressure curves, though estimation accuracy suffers slightly when B-spline interpolation is used. Among all the to-be-estimated parameters, the endpoint of the capillary pressure curve shows its compromising accuracy, depending on its initial value.
机译:已开发出一种基于整体的方法,并成功地通过历史与测量数据匹配,同时估算了致密地层的相对渗透率和毛细管压力曲线。首先使用幂律和B样条曲线模型分别表示相对渗透率曲线和毛细管压力曲线。然后,一旦测量数据完全同化并且历史匹配,就自动调整这两个模型的参数并最终确定。已经发现,相对渗透率和毛细压力的估计会逐渐提高,并且随着更多测量数据的吸收,相应的不确定性会逐渐减轻。完成对测量数据的同化后,虽然使用B样条插值法估计精度会稍有下降,但在更新的参考相对渗透率与参考压力和毛细管压力曲线之间已找到了极好的协议。在所有要估计的参数中,毛细管压力曲线的端点取决于其初始值,显示出其折衷的准确性。

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