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Doyoro, Y. G., Chang, P. Y., Puntu, J. M., Lin, D. J., Van Huu, T., Rahmalia, D. A., & Shie, M. S. (2022). A review of open software resources in python for electrical resistivity modelling. Geoscience Letters, 9(1), 1-16.
Doyoro, Yonatan Garkebo, et al. "A review of open software resources in python for electrical resistivity modelling." Geoscience Letters 9.1 (2022): 1-16.
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YG Doyoro, PY Chang, JM Puntu… - Geoscience …, 2022 - geoscienceletters.springeropen.com

A review of open software resources in python for electrical resistivity modelling.

Cultural Transformation in the Geoscience Community AND Program Evaluation

Chang, Doyoro, Puntu

GSID: gTLCJU9dniUJ

Excerpt

Geophysical modelling performs to obtain subsurface structures in agreement with measured data. Freeware algorithms for geoelectrical data inversion have not been widely used in geophysical communities; however, different open-source modelling/inversion algorithms were developed in recent years. In this study, we review the structures and applications of openly Python-based inversion packages, such as pyGIMLi (Python Library for Inversion and Modelling in Geophysics), BERT (Boundless Electrical Resistivity …

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