3D geological uncertainty dataset and models for proxy-based uncertainty quantification in oil reservoir simulations

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Authors: Jeanfranco Farfan, Anderson de Rezende Rocha, Gabriel Cirac
Cited by: 0

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