A structural approach to joint inversion of hydrogeophysical data

Niklas Linde, Andrew Binley, Ari Tryggvason, Laust Pedersen & Niklas Linde
We have developed a flexible methodology to jointly invert different types of geophysical and hydrogeological data, where the resulting models honour the spatial correlation structure derived from geophysical borehole logs. Additionally, the individual models are internally consistent. The key components in this work are: (1) an efficient method to estimate stochastic regularization operators based on geostatistical models; (2) to minimize the cross product of the gradients of two models, which is used as a measure...
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