Acoustic Impedance Inversion Using Gaussian Metropolis–Hastings Sampling with Data Driving
The Markov chain Monte Carlo (MCMC) method based on Metropolis−Hastings (MH) sampling is a popular approach in solving seismic acoustic impedance (AI) inversion problem, as it can improve the inversion resolution by statistical prior information. However, the sampling function of the tradi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-07-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/14/2744 |