Work

Unsupervised data selection for focused time-lapse inversion in electrical resistivity tomography monitoring

Year: 2026
Type: article
Abstract: ABSTRACT Time-lapse electrical resistivity tomography (TLERT) is a popular technique to monitor subsurface processes. Inversions and interpretation often remain challenging because of noisy data and the superposition of several processes influencing the results. To improve TLERT imaging, clustering of data time series was applied prior to the inversion process. Inversion was performed only for a subset of data points displaying some interesting temporal variations. This approach allows us to reduce data misfit within the data subset and successfully isolate the main processes from other processes taking place along the measurement profile. This opens new perspectives for the processing of TLERT data and the monitoring of subsurface processes.
Source: Geophysics
Language: English
Subfield: Geophysics
Open Access status: green
OpenAlex ID: W7127367165
FWCI: 3.947
Cites: 15
Cited by: 1
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