3D geological uncertainty dataset and models for proxy-based uncertainty quantification in oil reservoir simulations
Abstract
This dataset supports the doctoral research entitled “Model Uncertainty Quantification to Improve Oil Reservoir Simulations”. It includes numerical reservoir simulation outputs, proxy model predictions, dimensionality-reduced geological representations, reconstructed 3D geological properties, and uncertainty quantification results obtained using deep learning models. The data were generated from a Brazilian offshore oil field and are intended to support reproducibility, validation, and future research on proxy modeling, geological uncertainty reconstruction, and uncertainty quantification in reservoir engineering. Os dados não podem ser disponibilizados por questões de proteção intelectual. Para mais informações, contatar os responsáveis
Fields of Study & Subjects
Reservoir Engineering and Simulation Methods
Geological Modeling and Analysis
Enhanced Oil Recovery Techniques
Publication details
- Journal / source
- University of Campinas
- Publication date
- 16 January 2026
- Document type
- Dataset