2018
DOI: 10.1016/j.jappgeo.2018.02.008
|View full text |Cite
|
Sign up to set email alerts
|

A compressed sensing based 3D resistivity inversion algorithm for hydrogeological applications

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
5

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(11 citation statements)
references
References 57 publications
0
11
0
Order By: Relevance
“…The surface ERT sections were chosen in such a way that they are easily accessible, and tracer plume is completely captured with a provision to cross‐validate the results at the intersection (Figure ). “MW1” is abutting to ERT‐2 at a chainage of 106 m, whereas, “MW2” is located on ERT‐2 at a chainage of 118 m. Inversion of resistivity data was performed using L1 norm least square regularization algorithm to image the sharp interfaces between geologic layers resulting from tracer movement (Gholami and Siahkoohi ; Ranjan et al ). ERT‐derived resistivity profiles were validated with geophysical logs at the two monitoring well locations ( R 2 = 0.74) and considered to be reliable for tracer interpretation studies.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The surface ERT sections were chosen in such a way that they are easily accessible, and tracer plume is completely captured with a provision to cross‐validate the results at the intersection (Figure ). “MW1” is abutting to ERT‐2 at a chainage of 106 m, whereas, “MW2” is located on ERT‐2 at a chainage of 118 m. Inversion of resistivity data was performed using L1 norm least square regularization algorithm to image the sharp interfaces between geologic layers resulting from tracer movement (Gholami and Siahkoohi ; Ranjan et al ). ERT‐derived resistivity profiles were validated with geophysical logs at the two monitoring well locations ( R 2 = 0.74) and considered to be reliable for tracer interpretation studies.…”
Section: Resultsmentioning
confidence: 99%
“…"MW1" is abutting to ERT-2 at a chainage of 106 m, whereas, "MW2" is located on ERT-2 at a chainage of 118 m. Inversion of resistivity data was performed using NGWA.org V. Sreeparvathy et al Groundwater 57, no. 1: 126-139 L1 norm least square regularization algorithm to image the sharp interfaces between geologic layers resulting from tracer movement (Gholami and Siahkoohi 2010;Ranjan et al 2018). ERT-derived resistivity profiles were validated with geophysical logs at the two monitoring well locations (R 2 = 0.74) and considered to be reliable for tracer interpretation studies.…”
Section: Background Surveymentioning
confidence: 99%
“…But, body injection configuration usually provides more accurate recovery value compared to the surface configuration [27], [28]. The more detailed description of quasi-static electric field survey, electrode configuration and applications can be found in [10].…”
Section: Theory a Principles Of Quasi-static Electric Field Surveymentioning
confidence: 99%
“…noise in observed data and obtain a smooth reconstructed image [8], [9]. However, numerous studies have illustrated that l 2 -norm regularization technique can smooth the reconstructed image and stabilize the solution resulting in spurious oscillations for blocky objects [10]- [12]. Hence, l 2 -norm regularization technique is unsuitable for recovering anomalous bodies which have clear boundaries between the entity and the background.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation