Replication data for: steady-state 1D two-phase flow differentiable modeling, learning from field data and inverse problem applications in oil wells

Read full text
Authors: Anderson Faller, Saon Crispim Vieira, Marcelo Souza de Castro
Cited by: 0

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