Litcius/Paper detail

Shear-wave velocity prediction of tight reservoirs based on poroelasticity theory: A comparative study of deep neural network and rock physics model

Zhijian Fang, Jing Ba, Qiang Guo, Fansheng Xiong

2024Geoenergy Science and Engineering9 citationsDOI

Topics & Concepts

Shear (geology)Artificial neural networkPoromechanicsGeologyStatistical physicsMechanicsPhysicsGeotechnical engineeringComputer scienceArtificial intelligencePorous mediumPorosityPetrologySeismic Imaging and Inversion TechniquesHydraulic Fracturing and Reservoir AnalysisHydrocarbon exploration and reservoir analysis
Shear-wave velocity prediction of tight reservoirs based on poroelasticity theory: A comparative study of deep neural network and rock physics model | Litcius