watex.utils.exmath.invertVES#

watex.utils.exmath.invertVES(data=None, rho0=None, h0=None, typeof='HMCMC', **kwd)[source]#

Invert the Vertical Electrical Sounding data collected in the exporation area.

Parameters:

  • data – Dataframe pandas - contains the depth measurement AB from current electrodes, the potentials electrodes MN and the collected apparents resistivities.

  • rho0 – float - Value of the starting resistivity model. If None, rho0 should be the half minumm value of the apparent resistivity collected. Units is in Ω.m not log10(Ω.m)

  • h0 – float - Thickness in meter of the first layers in meters. If None, it should be the minimum thickess as possible 1. m.

  • typeof – str - Type of inversion scheme. The defaut is Hybrid Monte Carlo (HMC) known as HMCMC . Another scheme is Bayesian neural network approach (BNN).

  • kws – dict - Additionnal keywords arguments from Vertical Electrical Sounding data operations. See

Seealso:

watex.utils.exmath.vesDataOperator() for futher details.