Windowed 4D inversion for near real-time geoelectrical monitoring applications

• DOI: 10.3389/feart.2022.983603
• Publication Date: 2022-09-07T08:15:42Z
• Authors: P. B. Wilkinson; J. E. Chambers; P. I. Meldrum; O. Kuras; C. M. Inauen; R. T. Swift; G. Curioni; S. Uhlemann; J. Graham; N. Atherton
• Keywords: Synthetic data; Inverse transform sampling

Many different approaches have been developed to regularise the time-lapse geoelectrical inverse problem. While their advantages and limitations demonstrated using synthetic models, there few direct comparisons of performance field data. We test four inversion methods (independent inversion, temporal smoothness-constrained 4D spatial smoothness constrained data differences, sequential with constraints on model its changes). focus applicability these automated processing monitoring in near real-time. In particular, we examine windowed use short sequences data, without which method would not be suitable real-time context. develop measures internal consistency for so that effects time windows or choice baseline set can compared. The resulting models are assessed against qualitative quantitative ground truth information. Our findings full performed best, retained majority benefits while also being applicable applications requiring inversion.