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Fitting Foam Simulation Model Parameters to Data

机译：拟合泡沫仿真模型参数到数据

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Cheng et al. (2000) present a simple method to fit foam simulation parameters without oil to data for pressure gradient as a function of superficial velocities of gas and liquid. The key in this process is the identification of "high-quality" (high gas fraction) and "low-quality" foam regimes. The method is essentially the same for the foam model parameters in foam models in STARS, UTCHEM or ECLIPSE. Often, however, available data are more limited - pressure gradient for one scan of foam quality at fixed total superficial velocity. We show how to extend this method to the more limited data set. The transition in regimes occurs at the foam quality with the maximum pressure gradient. We illustrate the method by fitting parameters to several published data sets. Our approach is simple and direct. The model fit would be appropriate for an EOR process involving foam injection at finite water fraction, but not a SAG foam process involving large slugs of gas and liquid For the latter process, model parameters should be fit to data relevant to that process, i.e. at extremely high foam quality. The approach assumes an abrupt transition between high- and low-quality foam regimes, i.e. a large value of epdry in the STARS foam model. If a smaller value is chosen for faster execution of the simulator this approach could underestimate pressure gradient near its maximum value at the transition between regimes. In that case the parameter values quickly obtained by this method could provide the initial guess for a computer-based least-squares fit of all parameters, including a smaller value of epdry, and a check on the parameters so obtained.
机译：程等人。 （2000）呈现了一种简单的方法，可以将泡沫模拟参数装配泡沫模拟参数，而没有油的数据作为气体和液体的表面速度的压力梯度。该过程中的关键是识别“高质量”（高气体分数）和“低质量”泡沫制度。该方法对于恒星，UTCHEM或Eclipse的泡沫模型中的泡沫模型参数基本相同。然而，通常，可用数据更有限 - 压力梯度，用于固定总浅表速度的泡沫质量的一个扫描。我们展示了如何将此方法扩展到更有限的数据集。在制度中的过渡发生在具有最大压力梯度的泡沫质量下。我们通过将参数拟合到几个已发布的数据集来说明该方法。我们的方法很简单直接。型号适合适用于涉及泡沫注射在有限水分下的泡沫注射的过程，但不是涉及大型气体和液体的下垂泡沫过程，用于后一种过程，模型参数应适合与该过程相关的数据，即在极高的泡沫质量。该方法假设高质量和低质量泡沫制度之间的突然转变，即恒星泡沫模型中的倒置的大值。如果选择较小的值以更快地执行模拟器，则这种方法可能低估了在制度之间过渡的最大值附近的压力梯度。在这种情况下，通过该方法快速获得的参数值可以为所有参数的基于计算机的最小平方拟合提供初始猜测，包括较小的epdry值，以及对如此获得的参数的检查。

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