What is it about?
The non-uniqueness of the solution of the geophysical inverse problem can lead to misinterpretation while characterizing the subsurface. To tackle this situation, we present a probabilistic approach to perform a rapid quantitative interpretation by classifying geophysical data according to the materials observed in borehole logs.
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Why is it important?
Highly heteroneneous environments, such as landfills, are notably difficult to characterize both with geophysics - due to strong heterogeneity and physical constrasts encounterd- and with boreholes due to the increased contamination risks. We observed that the probabilistic approach is robust for classifying categories when high spatial heterogeneity is expected and when ground-truth data is limited or not sparsely distributed. Lastly, it can be easily extended to integrate multiple geophysical methods and/or 3D data.
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This page is a summary of: Quantitative interpretation of geoelectric inverted data with a robust probabilistic approach, Geophysics, April 2023, Society of Exploration Geophysicists,
DOI: 10.1190/geo2022-0133.1.
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