K_CG_inverse(K, cond_gmean, var, len_scale, anis, K_well='KH', prop=1.6)[source]

The inverse coarse-graining conductivity.

See: K_CG()

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

  • cond_gmean (float) – Geometric-mean conductivity.

  • var (float) – Variance of the log-conductivity.

  • len_scale (float) – Corralation-length of log-conductivity.

  • anis (float) – Anisotropy-ratio of the vertical and horizontal corralation-lengths.

  • K_well (string/float, optional) – Explicit conductivity value at the well. One can choose between the harmonic mean ("KH"), the arithmetic mean ("KA") or an arbitrary float value. Default: "KH"

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


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

Return type



>>> K_CG_inverse([7e-4,8e-4,9e-4], 0.001, 1, 10, 1, 2)
array([2.09236867, 3.27914996, 4.52143956])