Bayesian Markov Chain Monte Carlo inversion of surface-based transient electromagnetic data
Article Highlights 1. We propose a Bayesian MCMC procedure for surface-based TEM data inversion and apply it successfully both in synthetic data and field data. 2. We use the modified Gaussian proposal distribution to improve the sampling efficiency and deep resistivity resolution. 3. The results of...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-09-01
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| Series: | SN Applied Sciences |
| Online Access: | https://doi.org/10.1007/s42452-022-05134-5 |