Processed data in support of manuscript "Uncertainty quantification in 3D static modeling: Improving reserve estimation accuracy with adaptive physics-informed Monte Carlo simulation in Y-Field, Niger Delta Basin, Nigeria"
Abstract
A supplement material containing the data used in the manuscript "Uncertainty quantification in 3D static modeling: Improving reserve estimation accuracy with adaptive physics-informed Monte Carlo simulation in Y-Field, Niger Delta Basin, Nigeria". The supplementary material is a text file that contains the Python notebook, the 3D static model and the numpy array of the uncertainty score
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 January 2026
- Document type
- Dataset