Gravimetric potential field data

  • estimate of the depth of the density anomaly using the dEXP tranformation method

Example of gravimetric potential field data analysis using pyDEXP

Example of gravimetric potential field data analysis using pyDEXP

Example of gravimetric potential field data analysis using pyDEXP

Magnetic potential field data

Sources properties:
  • radius = 1.5e3

  • inc = 50

  • dec = -30

  • Identify 2 depths of sources produces by 2 distincts magnetic sources using the geometrical method

  • in prep Identify 2 depths of sources produces by 2 distincts magnetic sources using the dexp ratio method

Magnetic field data analysis using pyDEXP: a 2-sources case

Magnetic field data analysis using pyDEXP: a 2-sources case

Magnetic field data analysis using pyDEXP: a 2-sources case
Magnetic field data analysis using pyDEXP: a 2-sources case

Magnetic field data analysis using pyDEXP: a 2-sources case

Magnetic field data analysis using pyDEXP: a 2-sources case

Mise-à-la-masse analysis using the dEXP theory

The theory of the dEXP theory is applied here for the first time (to our knowledges) for active geoelectrical methods. The theory behind this choice and required adjustements are explained in the documentation section.

We show here:

  • preprocessing of MALM for dEXP;

  • a sensitivity analysis to anomaly depth (3d) of the dEXP theory apply to Mise-à-la-Masse data;

  • effect of noise level;

  • in prep: a case study where we used a Mise-à-la-Masse survey to identify a leakage in a landfill;

  • in prep: effect of borehole data and downward continuation.

Preprocessing of MALM for dEXP

Preprocessing of MALM for dEXP

Preprocessing of MALM for dEXP

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