Method and system for performing reservoir simulations using look-ahead models

US2023332490A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2023332490-A1
Application numberUS-202217720826-A
CountryUS
Kind codeA1
Filing dateApr 14, 2022
Priority dateApr 14, 2022
Publication dateOct 19, 2023
Grant date

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  5. First independent claim

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Abstract

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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.

First claim

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

Assignees

Inventors

Classifications

  • E21B43/16Primary

    Enhanced recovery methods for obtaining hydrocarbons · CPC title

  • Computer models or simulations, e.g. for reservoirs under production, drill bits · CPC title

  • G01V20/00Primary

    Geomodelling in general · CPC title

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Frequently asked questions

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What does patent US2023332490A1 cover?
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…
Who is the assignee on this patent?
Saudi Arabian Oil Co
What technology area does this patent fall under?
Primary CPC classification E21B43/16. Mapped technology areas include Fixed Constructions.
When was this patent published?
Publication date Thu Oct 19 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).