Three‐dimensional modelling and inversion of dc resistivity data incorporating topography – II. Inversion

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Four-dimensional inversion of resistivity monitoring data through Lp norm minimizations (2013, methodology): “…by guest on 28 July 2018 Over several decades, many methods for choosing regularization parameters were proposed, tested and used in real applications (e.g. Constable et al. 1987; Farquharson & Oldenburg 2004; Günther et al. 2006; Bauer & Lukas 2011).”
Image-guided inversion of electrical resistivity data (2014, background): “Note that although some of the concepts we are going to use are not new, such as the weighting matrix (Günther et al. 2006; Bouchedda et al. 2012; Elwaseif & Slater 2012) and the four direction smoothing (Farquharson 2008; Lelièvre & Oldenburg 2009), the way we will use this information (for…”
An overview of a highly versatile forward and stable inverse algorithm for airborne, ground-based and borehole electromagnetic and electric data (2015, background): “…inducedpolarisation (IP) data (LokeandBarker, 1996; Lokeet al., 2006;OldenburgandLi, 1994,Fiandaca et al., 2013), * 3D inversion of ERT data (Günther et al., 2006; Rücker et al., 2006), Journal compilation ASEG 2015 www.publish.csiro.au/journals/eg * 3D inversion of ERT data with IP…”
pyGIMLi: An open-source library for modelling and inversion in geophysics (2017, methodology): “Note that, compared to the Darcy simulation, ERT modelling requires speci ﬁ c boundary conditions and mesh re ﬁ nement (Rücker et al., 2006).”