Sharif University of Technology

Velocity deviation-based pore type classification in an Iranian carbonate gas reservoir using multiscale integrated data

This study presents an integrated approach to pore type classification in a carbonate gas reservoir from the Dalan/Kangan formations in Iran, utilizing velocity deviation log (VDL) analysis derived from thin sections, conventional well logs, Nuclear Magnetic Resonance (NMR) data,...

Hardware-validated hybrid super-twisting, fuzzy logic, and deep reinforcement learning framework for spacecraft attitude control

This study proposes a hardware-validated hybrid intelligent framework for spacecraft attitude control that integrates the super-twisting sliding-mode algorithm (STA), Type-1/Type-2 fuzzy logic control (FLC), and deep reinforcement learning (DRL). Fourteen controller configuration...