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Calibration of a fractal model relating porosity to permeability and its use for modeling hydrothermal transport processes in the Perth Basin, Australia

机译:校准孔隙孔隙率与渗透率的用途及其在澳大利亚珀斯盆地中的热热运输过程中的用途及用途

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Numerical modeling of geothermal systems requires the best possible knowledge of porosity and permeability within the geothermal reservoir. The deep Jurassic Yarragadee Aquifer in the Perth Basin consists of various different lithofacies but is characterized by a high average permeability and the likely occurrence of free convection, making this Aquifer to a promising low-medium enthalpy geothermal reservoir unit. We define a log(permeability)-porosity model based on a combination of the Kozeny-Carman equation and fractal theory and calibrate it by nonlinear regression using a least-squares approach to the Yarragadee Aquifer in the Perth Basin. For the calibration, we use over 100 measurement pairs of porosity and permeability from three boreholes in the vicinity of our model domain. The calibrated model reasonably covers the control of lithofacies on permeability.
机译:地热系统的数值建模需要在地热储层内的孔隙率和渗透性的最佳知识。 珀斯盆地的深侏罗纪Yarragadee含水层由各种不同的锂缺陷组成,但其特点是高平均渗透性和可能发生的自由对流发生,使该含水层成为有前途的低中型焓地热储层单元。 我们基于Kozeny-Carman方程和分形理论的组合来定义一个日志(渗透率) - 刺矩模型,并使用最小二乘方法对珀斯盆地的Yarragadee含水层的非线性回归进行校准。 对于校准,我们在我们的模型领域附近使用了超过100个测量的孔隙度和渗透率。 校准模型合理地涵盖了岩石酸的控制。

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