The application of extended Euler deconvolution method in the interpretation of potential field data

Abstract

Abstract Euler deconvolution method is a usually used automatic method in the interpretation of potential field data, and we all know that the precision of the inversion results depends on the difference between the given structural index and the true shape. Extended Euler deconvolution methods can remove the interference of structural index, which use the derivatives of potential field data to compute the location parameters. However, we discover some rules in the application of extended Euler deconvolution method to interpret potential field data. First, single horizontal derivative cannot obtain the source locations correctly, but the combinations of horizontal derivatives can estimate the location parameters effectively. When using the functions of vertical derivative to interpret the potential field data that exist positive and negative anomalies simultaneously, the inversion results will produce additional results, but the matrix or function composed of the horizontal derivatives will not have additional results, and we also find that the results computed by the matrix composed of the horizontal derivatives are insensitive to noise. Applying the extended Euler deconvolution method to interpret real potential field data, we also find that the matrix composed by the horizontal derivatives can ascertain the location parameters of the sources more correctly.