Determining cell properties for a grid generated from a grid-less model of a reservoir of an oilfield
AssigneeLandmark Graphics Corporation
InventorMehran Hassanpour
Life of this patent
Estimating the term…
Abstract
A system can receive a grid-less point cloud model of a geological formation, the grid-less cloud point model that includes data points. The system can determine, by a machine-learning model for clustering data points, clusters for the data points according to a heterogeneity index. The system can determine an outline for each cluster. The system can generate a grid corresponding to the geological formation, the grid comprising a plurality of cells for each cluster of the plurality of clusters, each cluster having cell properties. The system can output the grid for the geological formation to a graphical user interface, the grid usable for executing a flow simulation at the graphical user interface.
Claims20
A system comprising:
- a processor;
- and
- a memory that includes instructions executable by the processor for causing the processor to:
- receive a grid-less point cloud model of a geological formation, the grid-less cloud point model comprising a plurality of data points;
- determine, by a machine-learning model for clustering data points, a plurality of clusters for the plurality of data points according to a heterogeneity index;
- determine a plurality of outlines, each cluster in the plurality of clusters being associated with an outline of the plurality of outlines;
- generate a grid corresponding to the geological formation, the grid comprising a plurality of cells for each cluster of the plurality of clusters, each cluster of the plurality of clusters having a plurality of cell properties;
- and
- output the grid for the geological formation to a graphical user interface, the grid usable for executing a flow simulation at the graphical user interface.
A method comprising:
- receiving, by a processor, a grid-less point cloud model of a geological formation, the grid-less cloud point model comprising a plurality of data points;
- determining, by the processor and a machine-learning model for clustering data points, a plurality of clusters for the plurality of data points according to a heterogeneity index;
- determining, by the processor, a plurality of outlines, each cluster in the plurality of clusters being associated with an outline of the plurality of outlines;
- generating, by the processor, a grid corresponding to the geological formation, the grid comprising a plurality of cells for each cluster of the plurality of clusters, each cluster of the plurality of clusters having a plurality of cell properties;
- and
- outputting, by the processor, the grid for the geological formation to a graphical user interface, the grid usable for executing a flow simulation at the graphical user interface.
A non-transitory computer readable medium comprising instructions executable by a processor for causing the processor to:
- receive a grid-less point cloud model of a geological formation, the grid-less cloud point model comprising a plurality of data points;
- determine, by a machine-learning model for clustering data points, a plurality of clusters for the plurality of data points according to a heterogeneity index;
- determine a plurality of outlines, each cluster in the plurality of clusters being associated with an outline of the plurality of outlines;
- generate a grid corresponding to the geological formation, the grid comprising a plurality of cells for each cluster of the plurality of clusters, each cluster of the plurality of clusters having a plurality of cell properties;
- and
- output the grid for the geological formation to a graphical user interface, the grid usable for executing a flow simulation at the graphical user interface.
Dependencies are inferred from the claim text.