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首页> 外文学位 >Use of Temperature data for assisted history matching and characterization of SAGD heterogeneous reservoirs within EnKF framework.
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Use of Temperature data for assisted history matching and characterization of SAGD heterogeneous reservoirs within EnKF framework.

机译：在EnKF框架内使用温度数据协助SAGD非均质油藏的历史匹配和特征化。

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摘要

The Ensemble Kalman Filter (EnKF), a parameter estimation approach using the real-time DTS temperature observations is proposed for automatic history matching and quantitative reservoir characterization of SAGD reservoirs. EnKF algorithm is coupled with the discrete cosine transform (DCT) for updating reservoir models whose petrophysical properties are not necessarily Gaussian. The DCT-EnKF provided a highly attractive algorithm for parameterizing the facies labels in SAGD reservoirs. Furthermore, to capture geologically meaningful and realistic facies distribution in conjunction with matching observed data, we included fiber-optic sensor temperature data.;Several cases with different facies distribution and well configurations were studied. In order to investigate the effect of temperature observations on SAGD reservoir characterization, the number of DTS observations and their locations were varied for each study. The qualities of the history-matched models were assessed by comparing the permeability maps, facies maps and the Root Mean Square Error (RMSE) of the predicted data mismatch. Finally, sensitivity analysis was performed to obtain an optimum number of sensors and their locations for improved reservoir characterization. Use of temperature data in conjunction with production data demonstrated significant improvement in facies detection and reduced uncertainty for SAGD reservoirs. The results reveal that increasing the number of temperature observations showed very little improvements after some critical number of sensor observations. At the end, the methodology has been applied to a real SAGD reservoir.
机译：提出了采用实时DTS温度观测的参数估计方法Ensemble Kalman滤波器，用于SAGD油藏的自动历史匹配和定量油藏表征。 EnKF算法与离散余弦变换（DCT）结合使用，以更新其岩石物性不一定是高斯的储层模型。 DCT-EnKF提供了一种极具吸引力的算法，可以对SAGD储层中的相标签进行参数化。此外，为了结合匹配的观测数据来捕获具有地质意义和现实意义的相分布，我们包括了光纤传感器温度数据。;研究了几种具有不同相分布和井眼构造的案例。为了研究温度观测对SAGD储层特征的影响，每个研究中DTS观测的数量及其位置都不同。通过比较渗透率图，相图和预测数据不匹配的均方根误差（RMSE），可以评估历史匹配模型的质量。最后，进行灵敏度分析以获得最佳数量的传感器及其位置，以改善储层特征。温度数据与生产数据的结合使用，证明了SAGD储层岩相检测的显着改善和不确定性的降低。结果表明，经过一定数量的传感器观测之后，增加温度观测次数显示的改善很小。最后，该方法已应用于实际的SAGD储层。

著录项

  • 作者

    Panwar, Amit.;

  • 作者单位

    University of Alberta (Canada).;

  • 授予单位 University of Alberta (Canada).;
  • 学科 Engineering Petroleum.
  • 学位 M.S.
  • 年度 2012
  • 页码 121 p.
  • 总页数 121
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 老年病学;
  • 关键词

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