A comprehensive workflow to analyze ensembles of globally inverted 2D electrical resistivity models

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NSTL
Elsevier

外文摘要：Electrical resistivity tomography (ERT) aims at imaging the subsurface resistivity distribution and provides valuable information for different geological, engineering, and hydrological applications. To obtain a subsurface resistivity model from measured apparent resistivities, stochastic or deterministic inversion procedures may be employed. Typically, the inversion of ERT data results in non-unique solutions; i.e., an ensemble of different models explains the measured data equally well. In this study, we perform inference analysis of model ensembles generated using a well-established global inversion approach to assess uncertainties related to the nonuniqueness of the inverse problem. Our interpretation strategy starts by establishing model selection criteria based on different statistical descriptors calculated from the data residuals. Then, we perform cluster analysis considering the inverted resistivity models and the corresponding data residuals. Finally, we evaluate model uncertainties and residual distributions for each cluster. To illustrate the potential of our approach, we use a particle swarm optimization (PSO) algorithm to obtain an ensemble of 2D layer-based resistivity models from a synthetic data example and a field data set collected in Loon-Plage, France. Our strategy performs well for both synthetic and field data and allows us to extract different plausible model scenarios with their associated uncertainties and data residual distributions. Although we demonstrate our workflow using 2D ERT data and a PSObased inversion approach, the proposed strategy is general and can be adapted to analyze model ensembles generated from other kinds of geophysical data and using different global inversion approaches.

外文关键词：

Near-surface geophysicsElectrical resistivity tomographyNon-uniquenessGlobal inversionParticle swarm optimizationEnsemble analysisDATA INCORPORATING TOPOGRAPHYPARTICLE SWARM OPTIMIZATIONSEISMIC TRAVEL-TIMEWAVE-FORM INVERSIONJOINT INVERSIONDC RESISTIVITYUNCERTAINTY ESTIMATIONINFERENCEREFRACTIONALGORITHM

作者：

Tronicke, Jens、Arboleda-Zapata, Mauricio、Guillemoteau, Julien

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作者单位：

Univ Potsdam

出版年：

2022

DOI：

10.1016/j.jappgeo.2021.104512

Journal of Applied Geophysics

EISCI

ISSN：0926-9851

年,卷(期)：2022.196

被引量1
参考文献量47