| Popis: |
Enhanced Oil Recovery (EOR) strategies are becoming increasingly common in the Middle East, used primarily for increasing recovery factors from mature fields. The final location, selected for any EOR scheme, is often critical to its ultimate success and developing new methods to investigate the most optimal EOR schemes can add significant value in optimizing recovery from mature fields. One approach for a given field, is to subdivide 3D Geo-cellular models into different sectors and perform a statistical analysis of the 3D model's properties (porosity, permeability, saturations, etc.) in each individual sector. This task is usually performed manually and can be resource intensive and time-consuming. In particular, in the case of large mature fields in the Middle East, the scale and data volume involved often makes the workflow impractical to implement. Advanced ‘automation methods’, developed to rapidly generate EOR sectors and perform the statistical analysis of 3D model properties are therefore necessary. This work presents a new workflow implemented for extracting and analyzing model properties at a scale relevant for EOR planning in large scale Middle East Fields. |
