Ensemble Deep Learning-Based Porosity Inversion From Seismic Attributes

Ensemble Deep Learning-Based Porosity Inversion From Seismic Attributes

Underground porosity is important in many earth sciences and engineering fields, including hydrocarbon reservoir characterization and geothermal energy production. Popular methods largely rely on the analysis of lithological core data, well logs, and seismic inversion methods. While these methods ar...

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Bibliographic Details
Main Authors: Jianguo Song, Munezero Ntibahanana, Moise Luemba, Keto Tondozi, Gloire Imani
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep neural networks
ensemble methods
seismic inversion
reservoir properties
Online Access:https://ieeexplore.ieee.org/document/10025713/

Internet

https://ieeexplore.ieee.org/document/10025713/

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