Replication data for: steady-state 1D two-phase flow differentiable modeling, learning from field data and inverse problem applications in oil wells
Abstract
Field data containing: wells and pipelines geometries and environmental properties; fluids properties; production data (flowrates, fluid ratios, pressures and temperatures).
Fields of Study & Subjects
Reservoir Engineering and Simulation Methods
Enhanced Oil Recovery Techniques
Model Reduction and Neural Networks
Publication details
- Journal / source
- University of Campinas
- Publication date
- 2 February 2026
- Document type
- Dataset