地质学与地球物理学杂志
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Assessment of Open-Software Resources in Python using Real Two-Dimensional Geophysical Model

Joseph Orojah Osumeje, Daniel Eshimiakhe*, Yusuf Bello, Kolawole Muideen Lawal

Geophysical modeling was used to identify subsurface structures that correspond to data from measurements. Although freeware inversion algorithms are not commonly used in the geophysical community, several open-source modeling and inversion algorithms have been developed in recent years. This study assesses the applicability of an open-source inversion software on a real earth model. A synthetic model based on a homogeneous layer was used to create a buried target with contrast resistivity. A real data survey was conducted using the same input criteria. The dipole-dipole array of 42 electrodes, with 1 m spacing for profile and 1 m spacing electrodes was used for the subsurface resistivity probe. The analysis showed a positive correlation between the synthetic and the real earth model. The flexibility of the source code has made the results more realistic. This study can also show how to use free inversion software for repeatable geophysical research, specifically geophysical modeling and inversion.