Reservoir regions management with unstructured grid reservoir simuation model
US-2020226311-A1 · Jul 16, 2020 · US
US2023332490A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023332490-A1 |
| Application number | US-202217720826-A |
| Country | US |
| Kind code | A1 |
| Filing date | Apr 14, 2022 |
| Priority date | Apr 14, 2022 |
| Publication date | Oct 19, 2023 |
| Grant date | — |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
A method may include obtaining grid model data regarding a geological region of interest. The method may further include obtaining well data regarding a well in the geological region of interest. The method may further include obtaining a grid model for the geological region of interest based on the grid model data and the well data. The method may further include obtaining a time selection for a look-ahead simulation. The method may further include determining a look-ahead model for the look-ahead simulation based on the grid model data, the well data, and a coarsening function. The method may further include performing the look-ahead simulation using the look-ahead model and the time selection. The method may further include performing a reservoir simulation of the geological region of interest using the grid model and the look-ahead simulation.
Opening claim text (preview).
What is claimed: 1 . A method, comprising: obtaining grid model data regarding a geological region of interest; obtaining well data regarding one or more wells in the geological region of interest; obtaining a grid model for the geological region of interest based on the grid model data and the well data; obtaining a time selection for a first look-ahead simulation; determining, by a computer processor, a first look-ahead model for the first look-ahead simulation based on the grid model data, the well data, and a first coarsening function, wherein the first look-ahead model simulates the geological region of interest at a faster rate than the grid model; performing, by the computer processor, the first look-ahead simulation using the first look-ahead model and the time selection; and performing, by the computer processor, a first reservoir simulation of the geological region of interest using the grid model and the first look-ahead simulation. 2 . The method of claim 1 , further comprising: determining look-ahead data based on the first look-ahead simulation; and determining a composite reservoir parameter based on the well data and the look-ahead data, wherein the composite reservoir parameter is based on a first reservoir parameter from the first look-ahead simulation and a second reservoir simulation that is performed before the first reservoir simulation, and wherein the first reservoir simulation is performed using the composite reservoir parameter. 3 . The method of claim 2 , wherein the composite reservoir parameter comprises a weighted value based on a number of a plurality of look-ahead simulations comprising the first look-ahead simulation. 4 . The method of claim 1 , further comprising: determining, at a first time step in an iterative process, a first well potential for a plurality of wells in the geological region of interest; determining a second well potential for the plurality of wells using the first look-ahead simulation, wherein the first well potential describes a simulated production rate for the plurality of wells for the first time step, and wherein the second well potential describes a simulated production rate for the plurality of wells over the time selection; and determining a composite well potential based on the first well potential and the second well potential, wherein the first reservoir simulation is performed using the composite well potential. 5 . The method of claim 1 , further comprising: determining a plurality of look-ahead models for a plurality of wells in the geological region of interest, wherein a respective look-ahead model among the plurality of look-ahead models corresponds to a respective well among the plurality of wells, wherein the respective look-ahead model comprises an area of interest around the respective well, and wherein the respective look-ahead model comprises a first subset of cells outside the area of interest with greater coarsening than a second subset of cells within the area of interest; and performing a second reservoir simulation based on a plurality of look-ahead simulations using the plurality of look-ahead models. 6 . The method of claim 1 , further comprising: simulating the geological region of interest using a plurality of reservoir simulations comprising the first reservoir simulation, wherein simulating the geological region of interest corresponds to a predetermined time period, and wherein the time selection is a subset of the predetermined time period that is less than the predetermined time period. 7 . The method of claim 1 , wherein the time selection comprises a target time, wherein the target time corresponds to a predetermined time step in an iterative process where the first look-ahead simulation ends, and wherein the first reservoir simulation continues in the iterative process past the predetermined time step. 8 . The method of claim 1 , wherein the first reservoir simulation and the first look-ahead simulation are performed in parallel using a plurality of parallel processors. 9 . The method of claim 1 , wherein the first look-ahead simulation is performed before beginning the first reservoir simulation. 10 . The method of claim 1 , further comprising: determining a second look-ahead model for a second look-ahead simulation based on the grid model data, the well data, and a second coarsening function; and performing the second look-ahead simulation in parallel with the first look-ahead simulation using the second look-ahead model and the time selection, wherein the first coarsening function and second coarsening functions are different functions. 11 . The method of claim 1 , wherein the first coarsening function is selected from a group consisting of a fluid characterization coarsening, a streamline coarsening, or a grid coarsening. 12 . The method of claim 1 , wherein the first look-ahead model is a proxy model comprising a plurality of well constraints that are the same as the grid model, and wherein the proxy model has a first plurality of grid cells that are less than a second plurality of grid cells in the grid model. 13 . A system, comprising: a network comprising a plurality of parallel processors; and a reservoir simulator comprising a computer processor, wherein the reservoir simulator is coupled to the network, the reservoir simulator comprising functionality for: obtaining grid model data regarding a geological region of interest; obtaining well data regarding one or more wells in the geological region of interest; obtaining a grid model for the geological region of interest based on the grid model data and the well data; obtaining a time selection for a look-ahead simulation; determining a look-ahead model for the look-ahead simulation based on the grid model data, the well data, and a first coarsening function, wherein the look-ahead model simulates the geological region of interest at a faster rate than the grid model; performing the look-ahead simulation using the look-ahead model and the time selection; and performing a first reservoir simulation of the geological region of interest using the grid model and the look-ahead simulation. 14 . The system of claim 13 , wherein the reservoir simulator further comprises functionality for: determining look-ahead data based on the look-ahead simulation; and determining a composite reservoir parameter based on the well data and the look-ahead data, wherein the composite reservoir parameter is based on a reservoir parameter from the look-ahead simulation and a second reservoir simulation that is performed before the first reservoir simulation, and wherein the first reservoir simulation is performed using the composite reservoir parameter. 15 . The system of claim 13 , wherein the reservoir simulator further comprises functionality for: determining, at a time step in an iterative process, a first well potential for a plurality of wells in the geological region of interest; determining a second well potential for the plurality of wells using the look-ahead simulation, wherein the first well potential describes a simulated production rate for the plurality of wells for the time step, and wherein the second well potential describes a simulated production rate for the plurality of wells over the time selection; and determining a composite well potential based on the first well potential and the second well potential, wherein the first reservoir simulation is performed using the composite well potential. 16 . The system of claim 1
Related publications grouped by family.
Answers are generated from the same data shown on this page.