Reservoir regions management with unstructured grid reservoir simuation model
US-2020226311-A1 · Jul 16, 2020 · US
US11899162B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11899162-B2 |
| Application number | US-202017019921-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 14, 2020 |
| Priority date | Sep 14, 2020 |
| Publication date | Feb 13, 2024 |
| Grant date | Feb 13, 2024 |
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A method may include obtaining a selection of various user-defined coarsening parameters. The user-defined coarsening parameters may include a predetermined fine-grid region in a geological region of interest and a predetermined cell distance. The method may further include determining an area of interest (AOI) mask for the geological region of interest based on the predetermined fine-grid region. The method may further include determining a geological property mask based on the user-defined coarsening parameters. The geological property mask may correspond to a predetermined geological feature within the predetermined cell distance from the AOI mask. The method may further include generating a coarsened grid model using grid model data and well data for the geological region of interest. The method may further include performing a reservoir simulation of the geological region of interest using the coarsened grid model.
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What is claimed: 1. A method, comprising: obtaining, by a computer processor, a first user selection comprising a first plurality of user-defined coarsening parameters and a plurality of selected geological features, wherein the first plurality of user-defined coarsening parameters comprise a predetermined fine-grid region in a geological region of interest and a first predetermined cell distance, wherein the first user selection is based on one or more user inputs to a graphical user interface coupled to a reservoir simulator, and wherein the plurality of selected geological features are selected from a group consisting of one or more faults, one or more channels, and one or more fractures; determining, by the computer processor and automatically in response to obtaining the first user selection, an area of interest (AOI) mask for the geological region of interest based on the predetermined fine-grid region; determining, by the computer processor, a plurality of geological property values for the plurality of selected geological features; determining, by the computer processor, a geological property mask based on the first plurality of user-defined coarsening parameters and the plurality of geological property values, wherein the geological property mask corresponds to a plurality of grid cells within a reservoir grid model that are disposed within the first predetermined cell distance from the AOI mask; generating, by the computer processor, a first coarsened grid model using grid model data and well data for the geological region of interest, wherein the first coarsened grid model comprises one or more coarsened regions based on the AOI mask and the geological property mask, wherein the plurality of geological property values above a predetermined threshold correspond to at least one of the plurality of selected geological features within the geological property mask and to non-coarsened regions in the first coarsened grid model; performing, by the computer processor, a reservoir simulation of the geological region of interest using the first coarsened grid model; and determining, by the computer processor, a predicted production rate for a well in the geological region of interest based on the reservoir simulation. 2. The method of claim 1 , further comprising: determining a well mask for the geological region of interest based on the first plurality of user-defined coarsening parameters, wherein the well mask is determined based one or more wells being within a second predetermined cell distance from the AOI mask, and wherein the first coarsened grid model is generated using the well mask. 3. The method of claim 1 , further comprising: determining a coarsening mask for the geological region of interest based on the first plurality of user-defined coarsening parameters, wherein the coarsening mask is determined based on a second plurality of cells being within a second predetermined cell distance from a boundary of the AOI mask, wherein the first coarsened grid model comprises a first coarsening level, a second coarsening level that has greater coarsening than the first coarsening level, and a fine-grid resolution, and wherein the coarsening mask corresponds to the first coarsening level. 4. The method of claim 1 , further comprising: obtaining, from a user device, a plurality of geographic coordinates at define the predetermined fine-grid region within a fine-grid model, wherein the fine-grid model provides a full-field reservoir simulation of the geological region of interest, and wherein the AOI mask corresponds to a second plurality of cells in the first coarsened grid model that are not coarsened. 5. The method of claim 1 , wherein the first user selection of the first plurality of user-defined coarsening parameters is obtained by a user device coupled to a reservoir simulator, and wherein the first user selection corresponds to one or more user inputs to a graphical user interface that is provided by the user device. 6. The method of claim 1 , further comprising: obtaining, in response to performing the reservoir simulation, a second selection of a second plurality of user-defined coarsening parameters, wherein the second plurality of user-defined coarsening parameters comprise an adjusted fine-grid region and an adjusted cell distance; and generating a second coarsened grid model using the grid model data and the well data, wherein second coarsened grid model comprises one or more adjusted coarsening regions based on the adjusted fine-grid region and the adjusted cell distance. 7. The method of claim 1 , obtaining historical well data regarding a well within the geological region of interest, wherein the reservoir simulation determines simulated well data regard regarding the well, and wherein the historical well data and the simulated well data are compared by a reservoir simulator. 8. A system, comprising: a wellhead coupled to a wellbore; a flow rate sensor coupled to the wellhead; and a reservoir simulator comprising a computer processor and coupled to the flow rate sensor, wherein the reservoir simulator comprises functionality for: obtaining a first user selection comprising a first plurality of user-defined coarsening parameters and a plurality of selected geological features, wherein the first plurality of user-defined coarsening parameters comprise a predetermined fine-grid region in a geological region of interest and a first predetermined cell distance, wherein the first user selection is based on one or more user inputs to a graphical user interface coupled to the reservoir simulator, and wherein the plurality of selected geological features are selected from a group consisting of one or more faults, one or more channels, and one or more fractures; determining, automatically in response to obtaining the first user selection, an area of interest (AOI) mask for the geological region of interest based on the predetermined fine-grid region; determining a plurality of geological property values for the plurality of selected geological features; determining a geological property mask based on the first plurality of user-defined coarsening parameters and the plurality of geological property values, wherein the geological property mask corresponds to a plurality of grid cells within a reservoir grid model that are disposed within the first predetermined cell distance from the AOI mask; generating a first coarsened grid model using flow rate data from the flow rate sensor and well data for the geological region of interest, wherein the first coarsened grid model comprises one or more coarsened regions based on the AOI mask and the geological property mask, wherein the plurality of geological property values above a predetermined threshold correspond to at least one of the plurality of selected geological features within the geological property mask and to non-coarsened regions in the first coarsened grid model; performing a reservoir simulation of the geological region of interest using the first coarsened grid model; and determining a predicted production rate for a well in the geological region of interest based on the reservoir simulation. 9. The system of claim 8 , wherein the reservoir simulator further comprises functionality for: determining a well mask for the geological region of interest based on the first plurality of user-defined coarsening parameters, wherein the well mask is determined based one or more wells being within a second predetermined cell distance from the AOI mask, and wherein the first coarsened grid model is generated using the well mask. 10. The system of claim 8 , wherein the reservoir simulator further co
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