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Simultaneous prediction of petrophysical properties and formation layered thickness from acoustic logging data using a modular cascading residual neural network (MCARNN) with physical constraints

Weichen Zhan, Yanjin Chen, Qi Qiang Liu, Qiqiang Liu, Jiawen Li, Mauricio D. Sacchi, Mingwei Zhuang, Qing Liu, Qing Liu

2024Journal of Applied Geophysics53 citationsDOI

Topics & Concepts

PetrophysicsResidualArtificial neural networkWell loggingComputer scienceRange (aeronautics)Modular designGeologyAlgorithmPorosityGeophysicsArtificial intelligenceMaterials scienceGeotechnical engineeringOperating systemComposite materialSeismic Imaging and Inversion TechniquesGeophysical Methods and ApplicationsGeophysical and Geoelectrical Methods
Simultaneous prediction of petrophysical properties and formation layered thickness from acoustic logging data using a modular cascading residual neural network (MCARNN) with physical constraints | Litcius