Machine learning methods for predicting residual strength in corroded oil and gas steel pipes
Ilman, M. N. & Kusmono, Analysis of internal corrosion in subsea oil pipeline. Case Stud. Eng. Fail. Anal. 2, 1–8...
gas
Decoupling and predicting natural gas deviation factor using machine learning methods
Basic datasetThe foundational Z-factor data for developing the machine learning models were sourced from gas wells of the Jurassic Shaximiao...
Machine learning discovers ‘hidden-gem’ materials for heat-free gas separation | News | Notre Dame News
Agboola Suleiman, doctoral student in chemical and biomolecular engineering at the University of Notre Dame, examines the team's gas-separating membrane....
