anaflow.tools.coarse_graining.T_CG_inverse

T_CG_inverse(T, trans_gmean, var, len_scale, T_well=None, prop=1.6)[source]

The inverse coarse-graining Transmissivity.

See: T_CG()

Parameters:

  • T (numpy.ndarray) – Array with all transmissivity values where the function should be evaluated

  • trans_gmean (float) – Geometric-mean transmissivity.

  • var (float) – Variance of log-transmissivity.

  • len_scale (float) – Correlation-length of log-transmissivity.

  • T_well (float, optional) – Explicit transmissivity value at the well. Harmonic mean by default.

  • prop (float, optional) – Proportionality factor used within the upscaling procedure. Default: 1.6

Returns:

rad – Array containing the radii belonging to the given transmissivity values

Return type:

numpy.ndarray

Examples

>>> T_CG_inverse([7e-4,8e-4,9e-4], 0.001, 1, 10, 2)
array([3.16952925, 5.56935826, 9.67679026])