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.
Photo by Naser Tamimi on Unsplash
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.
Read the Original
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.
You can read the full text:
The following have contributed to this page