IP Library › Granted Patent US 10,287,857
Granted Patent B2
US 10,287,857 · App. 14/404,361 · Granted May 14, 2019

System and method for reservoir simulation optimization

Inventor: Sheldon Gorell (Katy, TX)
Assignee: LANDMARK GRAPHICS CORPORATION
E21B43/00E21B49/00G01V99/005G06F17/5009
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Quick Facts
Patent No.
US 10,287,857
App. No.
14/404,361
Granted
May 14, 2019
Kind
B2
Abstract

A method of solving a optimization problem is described. The method includes creating an initial model having a plurality of wells, each well being associated with a parameter and dividing the well field into first and second regions, the first region including a first subset of the plurality of wells and the second region including a second subset of the plurality of wells. The method also includes solving for the parameters associated with the wells in the first subset to get a first set of values while holding constant the parameters associated with the wells in the second subset, setting the parameters associated with the wells in the first subset to the first set of values, and solving for the parameters associated with the wells in the second subset to get a second set of values while holding constant the parameters associated with the wells in the first subset.

Claims (75)

1. A computer-implemented method to improve hydrocarbon recovery of wellbores in a reservoir, the method comprising:

creating an initial model of a well field having a plurality of wells, each well being associated with a spatially-dependent parameter that corresponds to a first hydrocarbon recovery;

dividing the well field into first and second regions, the first region including a first subset of the plurality of wells and the second region including a second subset of the plurality of wells;

solving for the parameters associated with the wells in the first subset to get a first set of values while holding constant the parameters associated with the wells in the second subset;

setting the parameters associated with the wells in the first subset to the first set of values;

solving for the parameters associated with the wells in the second subset to get a second set of values while holding constant the parameters associated with the wells in the first subset,

wherein the first and second set of values correspond to parameters predicted to produce a second hydrocarbon recovery that is improved over the first hydrocarbon recovery;

using the first and second sets of values, designing a well completion plan that corresponds to the second hydrocarbon recovery; and

completing a well field according to the well completion plan.

2. The method of claim 1 , further including:

setting the parameters associated with the wells in the second subset to the second set of values; and

simultaneously solving for the parameters associated with the wells in the first subset and the parameters associated with the wells in the second subset.

3. The method of claim 1 ,

wherein the spatially-dependent parameter is a geographical location of a well; and

wherein the first set of values includes geographical locations of the wells in the first subset that increase recovery of hydrocarbons from the well field.

4. The method of claim 1 ,

wherein the spatially-dependent parameter is a characteristic of the well field in a vicinity of each well in the plurality of wells; and

wherein the first set of values includes values of the characteristic that match simulated production of the wells to historical production of the wells.

5. The method of claim 1 , wherein the dividing includes sizing the first and second regions based on the strength of the spatial dependence of the parameter.

6. The method of claim 1 , wherein the first and second regions overlap such that one of the plurality of wells may be included in the first subset and also the second subset.

7. The method of claim 1 , wherein the dividing includes dividing the well field into one of a plurality of parallel strips and a plurality of quadrants.

8. The method of claim 1 , wherein the solving for the parameters associated with the wells in the first subset includes solving for the parameters over the course of a number of iterations.

9. The method of claim 8 , wherein the number of iterations is pre-determined.

10. The method of claim 8 , wherein the number of iterations is dynamic.

11. The method of claim 10 , wherein the solving is performed until the first set of values fails to change by a threshold amount after each iteration.

12. The method of claim 1 ,

wherein the dividing includes dividing the well field into the first and second regions and a third region, the third region including a third subset of the plurality of wells;

including solving for the parameters associated with the wells in the third subset to get a third set of values concurrently with the solving for the parameters associated with the wells in the first subset;

including setting the parameters associated with the wells in the third subset to the third set of values; and

wherein solving for the parameters associated with the wells in the second subset includes holding constant the parameters associated with the wells in the third subset.

13. The method of claim 12 , wherein the first region and the third region are non-contiguous.

14. A computer-implemented method to improve hydrocarbon recovery of wellbores in a reservoir, the method comprising:

creating an initial model of a well field having a plurality of wells, each well being associated with a spatially-dependent parameter that corresponds to a first hydrocarbon recovery;

dividing the well field into a plurality of regions, each region in the plurality of regions including a subset of the plurality of wells;

iteratively solving for the parameters associated with the wells in a first region in the plurality of regions to get an optimal set of values while holding constant the parameters associated with the wells in the other regions in the plurality of wells,

wherein the optimal set of values correspond to parameters predicted to produce a second hydrocarbon recovery that is improved over the first hydrocarbon recovery;

setting the parameters associated with the wells in the first region to the optimal set of values;

thereafter repeating the iteratively solving and the setting for each region in the plurality of regions;

after the repeating, iteratively solving for the parameters associated with the wells in every region in the plurality of regions simultaneously;

using the parameters, designing a well completion plan that at least corresponds to the second hydrocarbon recovery; and

completing a well field according to the well completion plan.

15. The method of claim 14 ,

wherein the spatially-dependent parameter is a geographical location of a well; and

wherein the optimal set of values includes geographical locations of the wells in the first region that increase recovery of hydrocarbons from the well field.

16. The method of claim 14 , wherein the dividing includes sizing each of the regions in the plurality of regions based on the strength of the spatial dependence of the parameter.

17. The method of claim 14 , wherein the dividing includes dividing the well field into one of a plurality of parallel strips and a plurality of quadrants.

18. The method of claim 14 , wherein the iteratively solving includes solving for the parameters a dynamic number of times.

19. A computer-implemented reservoir simulator to improve hydrocarbon recovery of wellbores in a reservoir, the system comprising:

a processor;

a non-transitory storage medium accessible by the processor; and

software instructions stored on the storage medium and executable by the processor for:

creating an initial model of a well field having a plurality of wells, each well being associated with a spatially-dependent parameter that corresponds to a first hydrocarbon recovery;

dividing the well field into first and second regions, the first region including a first subset of the plurality of wells and the second region including a second subset of the plurality of wells;

solving for the parameters associated with the wells in the first subset to get a first set of values while holding constant the parameters associated with the wells in the second subset;

setting the parameters associated with the wells in the first subset to the first set of values;

solving for the parameters associated with the wells in the second subset to get a second set of values while holding constant the parameters associated with the wells in the first subset,

wherein the first and second sets of values correspond to parameters which are predicted to produce a second hydrocarbon recovery that is improved over the first hydrocarbon recovery;

using the first and second sets of values, designing a well completion plan that corresponds to the second hydrocarbon recovery; and

completing a well field according to the well completion plan.

20. The computer-implemented reservoir simulator of claim 19 , further including: setting the parameters associated with the wells in the second subset to the second set of values; and simultaneously solving for the parameters associated with the wells in the first subset and the parameters associated with the wells in the second subset.

21. The computer-implemented reservoir simulator of claim 19 , wherein the spatially-dependent parameter is a geographical location of a well; and wherein the first set of values includes geographical locations of the wells in the first subset that increase recovery of hydrocarbons from the well field.

22. The computer-implemented reservoir simulator of claim 19 , wherein the solving for the parameters associated with the wells in the first subset includes solving over the course of a number of iterations.

23. A method to improve hydrocarbon recovery of wellbores in a reservoir, the method comprising:

creating an initial model of the reservoir having a plurality of virtual wellbores, each virtual wellbore being associated with a spatially-dependent parameter that corresponds to a first hydrocarbon recovery, the parameter being at least one of a position or trajectory of the virtual wellbores;

dividing the initial model into first and second regions, the first region including a first subset of the plurality of virtual wellbores and the second region including a second subset of the plurality of virtual wellbores;

solving for the parameters associated with the virtual wellbores in the first subset to get a first set of values while holding constant the parameters associated with the virtual wellbores in the second subset;

setting the parameters associated with the virtual wellbores in the first subset to the first set of values;

solving for the parameters associated with the virtual wellbores in the second subset to get a second set of values while holding constant the parameters associated with the virtual wellbores in the first subset,

wherein the first and second sets of values correspond to at least one of a position or trajectory of the virtual wellbores which are predicted to produce a second hydrocarbon recovery that is improved over the first hydrocarbon recovery;

based on the first and second sets of values, selecting a position and trajectory for a plurality of physical wellbores in the reservoir, wherein the selected position and trajectory corresponds to the second hydrocarbon recovery;

preparing equipment to construct a portion of the plurality of physical wellbores in accordance with the selected position and trajectory; and

drilling the plurality of physical wellbores in accordance with the selected position and trajectory.

24. The method of claim 23 ,

wherein the spatially-dependent parameter is a geographical location of a virtual wellbore; and

wherein the first and second sets of values include geographical locations of the virtual wellbores in the first and second subsets that increase simulated recovery of hydrocarbons from the initial model of the reservoir.

Continuity (1)
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