Porosity prediction using machine learning
Author:
Affiliation:
1. Department of Earth and Atmospheric Sciences, University of Houston
2. CGG
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2020-w13-04.1
Reference12 articles.
1. Porosity prediction using the group method of data handling
2. The optimization approach to lithological tomography: Combining seismic data and petrophysics for porosity prediction
3. Porosity from seismic data: A geostatistical approach
4. Bayesian linearized rock-physics inversion
5. Probabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion
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