The purpose of this work is to introduce a new inversion method of potential field, based on a 3D model weighting function. For gravity and magnetic inversion, the model weighting function is normally assumed as a power law of the depth, with a constant exponent. Our approach is to consider a 3D varying exponent. Such inhomogeneous approach is built in two steps: a) each block is assigned an exponent β equal to the homogeneity degree of the potential field, estimated at different vertical and horizontal positions in the source-free (harmonic) region; b) the source model is computed by any inverse algorithms using a model weighting function. Here we perform step a) based on the scaling function method (Fedi and Florio, 2006) and step b) using the classical algorithm by Li and Oldenburg (1996) for magnetic data. We demonstrate the effectiveness of this method by application to a synthetic and a real case scenario.
Inversion of potential fields with an inhomogeneous depth weighting function / Vitale, Andrea; Fedi, Maurizio. - 1:1(2019), pp. 1749-1753. (Intervento presentato al convegno SEG 2019 tenutosi a San Antonio nel September 2019) [10.1190/segam2019-3215699.1].
Inversion of potential fields with an inhomogeneous depth weighting function
Fedi, Maurizio
2019
Abstract
The purpose of this work is to introduce a new inversion method of potential field, based on a 3D model weighting function. For gravity and magnetic inversion, the model weighting function is normally assumed as a power law of the depth, with a constant exponent. Our approach is to consider a 3D varying exponent. Such inhomogeneous approach is built in two steps: a) each block is assigned an exponent β equal to the homogeneity degree of the potential field, estimated at different vertical and horizontal positions in the source-free (harmonic) region; b) the source model is computed by any inverse algorithms using a model weighting function. Here we perform step a) based on the scaling function method (Fedi and Florio, 2006) and step b) using the classical algorithm by Li and Oldenburg (1996) for magnetic data. We demonstrate the effectiveness of this method by application to a synthetic and a real case scenario.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.