3D inversion & visualization of DC data acquired at dense borehole locations

Diego Domenzain, Lichao Liu, Anders Kristian Kühl, Anders Vest Christiansen, Ivan Yelamos Vela

Research output: Contribution to conferenceConference abstract for conferenceResearch


We present a 3D inversion algorithm that solves for subsurface DC conductivity over a large computational domain, and using large DC voltage datasets. Our algorithm is efficient in computation time and memory, which enables our method to be used for monitoring sites with densely sampled electrode-borehole locations. We achieve efficiency by exploiting matrix-vector multiplication of sparse matrices. Hence, we never explicitly store or approximate the Jacobian of the data. Moreover, our algorithm is independent of the discretization method used in the forward model. In order to visualize apparent resistivities of borehole DC data, we present a physics-based method for obtaining pseudo-locations in 3D space. We present field data results within the scope of the project Guided Injection Remediation Monitoring (GIRem), acquired with an in-house DCIP measuring instrument called Adapt.

Original languageEnglish
Publication date2022
Number of pages5
Publication statusPublished - 2022


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