Physics-informed neural network-based model for parameter sensitivity analysis in shale hydraulic fracturing

Lignende værker

• An efficient data-driven global sensitivity analysis method of shale gas production through convolutional neural network
  af: Liang Xue
  Udgivet: (2024)
• Multi‐factor coupling effects in hydraulic fracturing of laminated shale: Experimental insights and physics‐informed neural network‐driven optimization
  af: T Wang
  Udgivet: (2026)
• Sensitivity analysis using Physics-informed neural networks
  af: John M. Hanna, et al.
  Udgivet: (2024)
• Physics-assisted cascade neural network model for predicting pressure losses of a three-phase mixture in a pipeline
  af: Angelina Olegovna Shlykova, et al.
  Udgivet: (2026)
• Sensitivity of permissible aquifer recharge rate to hydrogeological and well design parameters
  af: Ranveer Kumar, et al.
  Udgivet: (2025)