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From well-test data to input to stochastic continuum models: effect of the variable support scale of the hydraulic data

机译:从试井数据到输入到随机连续模型:水力数据可变支持规模的影响

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摘要

The question of how well the true underlying hydraulic conductivity statistics of heterogeneous media are captured by well tests is addressed. The hydraulic conductivity value and the corresponding support volume associated with a theoretical well are correlated, causing a bias in the statistics derived from well-test analyses. Statistics derived from numerically simulated well tests are compared with the known underlying conductivity statistics and the results indicate an under-prediction by simulations at higher hydraulic conductivities. The deviation starts at about mean conductivity and can be as large as an order of magnitude, with the conductivity in the vicinity of the well defining the upper boundary. In other words, the conductivity value interpreted from the well test cannot be larger than the value that the well test first encounters. Consequently, for data in this simulation exercise, the standard deviation, if only determined for the upper range of the conductivity values, would be underestimated by a factor of 1.6-2. While this specific range is likely to depend on the scale and degree of the underlying heterogeneity as well as the duration of the test, the results should be indicative of a more general behaviour and are likely to occur in other heterogeneous data as well.
机译:解决了如何通过试井捕获异质介质的真实基础水力传导率统计数据的问题。与理论井相关的水力传导率值和相应的支撑体积相关,从而导致从试井分析得出的统计数据中存在偏差。将数值模拟试井得到的统计数据与已知的基础电导率统计数据进行比较,结果表明在较高的水力电导率下,模拟结果预测不足。偏差大约从平均电导率开始,并且可以大到一个数量级,井附近的电导率定义了上边界。换句话说,从试井解释的电导率值不能大于试井首先遇到的值。因此,对于此模拟练习中的数据,标准偏差(如果仅针对电导率值的上限确定)将被低估1.6-2倍。尽管此特定范围可能取决于基础异质性的规模和程度以及测试的持续时间,但结果应指示更一般的行为,并且也可能会出现在其他异质数据中。

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