Artificial Neural Networks applied to estimate permeability, porosity and intrinsic attenuation using seismic attributes and well-log data
Work
Year: 2014
Type: article
Source: Journal of Applied Geophysics
Cites: 36
Cited by: 112
Related to: 10
FWCI: 3.713
Citation percentile (by year/subfield): 99.99
Subfield: Geophysics
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Sustainable Development Goal Clean water and sanitation
Open Access status: closed