Static engine and neural network for a cognitive reservoir system
US-2024036231-A1 · Feb 1, 2024 · US
US8965745B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8965745-B2 |
| Application number | US-201213443972-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 11, 2012 |
| Priority date | Apr 14, 2011 |
| Publication date | Feb 24, 2015 |
| Grant date | Feb 24, 2015 |
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A method can include providing, in a geological domain, a conformal mesh, conformal to geological discontinuities of a geological model, that includes depositional domain coordinates associated with a depositional domain; providing, in the depositional domain, an initial, at least vertically structured, multidimensional grid that includes initial nodes that define grid cells; referencing the conformal mesh to identify a set of grid cells of the initial grid traversed by the geological discontinuities; splitting each of the grid cells in the set to form sub cells, each of the sub cells defined at least in part by one or more new nodes; and assigning geological domain coordinates associated with the geological domain to at least the new nodes to generate a final grid that includes the initial nodes, the new nodes and geological domain coordinates associated with the geological domain. Various other apparatuses, systems, methods, etc., are also disclosed.
Opening claim text (preview).
The invention claimed is: 1. A method comprising: in a computing system, providing, in a geological domain coordinate system, a conformal mesh, conformal to geological discontinuities of a geological model, that comprises depositional domain coordinates associated with a depositional domain coordinate system; in the computing system, providing, in the depositional domain coordinate system, an initial, at least vertically structured, multidimensional grid that comprises initial n…
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