IP Library › Granted Patent US 12,049,818
Granted Patent B2
US 12,049,818 · App. 17/648,090 · Granted Jul 30, 2024

Upscaling of formation petrophysical characteristics to a whole core scale

Inventors: Rafael March Castaneda Neto (Rio de Jainero, BR); Santiago Gabriel Drexler (Rio de Jainero, BR); Gabriela Alexandra Davalos (Richmond, TX); Naum Moiseyevich Derzhi (Houston, TX); Jonas Toelke (Houston, TX); Milena Ferreira de Siqueira Lima (Rio de Jainero, BR)
Assignee: Halliburton Ener y Services, Inc.
E21B49/003E21B49/02G01V8/00E21B2200/20
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Quick Facts
Patent No.
US 12,049,818
App. No.
17/648,090
Granted
Jul 30, 2024
Kind
B2
Abstract

A method includes imaging, at an imaging resolution, a core of a subsurface formation to create a core image and iteratively performing the following operations until a defined feature of a rock of the subsurface formation exceeds a viewable image feature threshold: extracting a number of subsamples from the core for a first iteration and from each of the number of subsamples previously extracted for a subsequent iteration; increasing the imaging resolution; and imaging each subsample. The method includes performing the following operations for the subsamples last extracted: determining at least one formation property characteristic; determining a guiding rock property for each voxel of the core image and the number of subsample images; and determining a subsample that is a shortest distance to the voxel based on the number of guiding rock properties; and mapping, for each voxel, the at least one formation property characteristic that is the shortest distance.

Claims (71)

1. A method comprising:

imaging, at an imaging resolution, a core of a subsurface formation to create a core image at at least one energy level;

iteratively performing the following operations until a defined feature of a rock of the subsurface formation exceeds a viewable image feature threshold in a number of subsample images,

extracting a number of subsamples from the core for a first iteration and from each of the number of subsamples previously extracted for a subsequent iteration;

increasing the imaging resolution;

imaging each subsample of the number of subsamples, at the imaging resolution, to create a number of subsample images for each of the number of subsamples at the at least one energy level;

performing the following operations for the number of subsamples last extracted,

determining, for each of the number of subsamples, at least one formation property characteristic that comprises at least one of a value of at least one formation property and a characteristic curve defining the at least one formation property;

determining a guiding rock property of a number of guiding rock properties for each voxel of a number of voxels of the core image and the number of subsample images; and

determining, for each voxel of the number of voxels of the core image in a guiding rock property space, a subsample that is a shortest distance to the voxel based on the number of guiding rock properties; and

mapping, for each of the number of voxels of the core image, the at least one formation property characteristic of the subsample that is the shortest distance to the voxel.

2. The method of claim 1 , further comprising:

upscaling the at least one formation property characteristic for the core image.

3. The method of claim 2 , wherein upscaling the at least one formation property characteristic for the core image comprises performing a multi-phase simulation.

4. The method of claim 1 , wherein the at least one formation property characteristic comprises at least one of a porosity, a permeability, a relative permeability curve, and a capillary pressure curve.

5. The method of claim 1 , wherein determining, for each of the number of voxels of the core image, the subsample that is the shortest distance to the voxel comprises:

determining a density and a photoelectric factor for each voxel;

determining a density and a photoelectric factor for each subsample; and

determining the subsample that is the shortest distance to the voxel based on the subsample having the density and the photoelectric factor that is closest to the density and the photoelectric factor of the voxel.

6. The method of claim 5 , wherein determining the subsample that is the shortest distance to the voxel comprises determining the subsample having a shortest Mahalanobis distance to the voxel.

7. The method of claim 1 , wherein each of the number of subsamples correspond with a different texture from the core or the subsample from which each is extracted.

8. The method of claim 1 , wherein imaging the core comprises:

imaging the core at a first energy level of the at least one energy level to create a density volume of the core; and

imaging the core at a second energy level of the at least one energy level to create a photoelectric factor volume of the core.

9. A system comprising:

a coring bit to be positioned in a wellbore formed in a subsurface formation, the coring bit to extract a core from the subsurface formation, wherein a number of samples are to be extracted from the core;

at least one scanner;

a processor; and

a machine-readable medium having program code executable by the processor to cause the processor to,

image, at an imaging resolution using the at least one scanner, the core to create a core image at at least one energy level;

extract a number of subsamples from the core;

increase the imaging resolution;

image, using the at least one scanner, each subsample of the number of subsamples at the imaging resolution to create a number of subsample images at the at least one energy level;

iteratively perform the following operations until a defined feature of a rock of the subsurface formation exceeds a viewable image feature threshold in the number of subsample images,

extract a number of subsamples from each of the number of subsamples previously extracted;

increase the imaging resolution;

image, using the at least one scanner, each subsample of the number of subsamples, at the imaging resolution, to create a number of subsample images for each of the number of subsamples at the at least one energy level;

perform the following operations for the number of subsamples last extracted,

determine, for each of the number of subsamples, at least one formation property characteristic that comprises at least one of a value of at least one formation property and a characteristic curve defining the at least one formation property;

determine a guiding rock property of a number of guiding rock properties for each voxel of a number of voxels of the core image and the number of subsample images; and

determine, for each voxel of the number of voxels of the core image in a guiding rock property space, a subsample that is a shortest distance to the voxel based on the number of guiding rock properties; and

map, for each of the number of voxels of the core image, the at least one formation property characteristic of the subsample that is the shortest distance to the voxel.

10. The system of claim 9 , wherein the program code comprises program code executable by the processor to cause the processor to upscale the at least one formation property characteristic for the core image.

11. The system of claim 10 , wherein the program code executable by the processor to cause the processor to upscale the at least one formation property characteristic for the core image comprises program code executable by the processor to cause the processor to perform a multi-phase simulation.

12. The system of claim 9 , wherein the at least one formation property characteristic comprises at least one of a porosity, a permeability, a relative permeability curve, and a capillary pressure curve.

13. The system of claim 9 , wherein the program code executable by the processor to cause the processor to determine, for each of the number of voxels of the core image, the subsample that is the shortest distance to the voxel comprises program code executable by the processor to cause the processor to,

determine a density and a photoelectric factor for each voxel;

determine a density and a photoelectric factor for each subsample; and

determine the subsample that is the shortest distance to the voxel based on the subsample having the density and the photoelectric factor that is closest to the density and the photoelectric factor of the voxel.

14. The system of claim 13 , wherein the program code executable by the processor to cause the processor to determine the subsample that is the shortest distance to the voxel comprises program code executable by the processor to cause the processor to determine the subsample having a shortest Mahalanobis distance to the voxel.

15. The system of claim 13 , wherein the program code executable by the processor to cause the processor to image the core comprises program code executable by the processor to cause the processor to,

image the core at a first energy level of the at least one energy level to create a density volume of the core; and

image the core at a second energy level of the at least one energy level to create a photoelectric factor volume of the core.

16. The system of claim 9 , wherein each of the number of subsamples correspond with a different texture from the core or the subsample from which each is extracted.

17. One or more non-transitory machine-readable media comprising program code executable by a processor to cause the processor to:

image, at an imaging resolution, a core of a subsurface formation to create a core image at at least one energy level;

iteratively perform the following operations until a defined feature of a rock of the subsurface formation exceeds a viewable image feature threshold in a number of subsample images,

extract a number of subsamples from the core for a first iteration and from each of the number of subsamples previously extracted for a subsequent iteration;

increase the imaging resolution;

image each subsample of the number of subsamples, at the imaging resolution, to create a number of subsample images for each of the number of subsamples at the at least one energy level;

perform the following operations for the number of subsamples last extracted,

determine, for each of the number of subsamples, at least one formation property characteristic that comprises at least one of a value of at least one formation property and a characteristic curve defining the at least one formation property;

determine a guiding rock property of a number of guiding rock properties for each voxel of a number of voxels of the core image and the number of subsample images; and

determine, for each voxel of the number of voxels of the core image in a guiding rock property space, a subsample that is a shortest distance to the voxel based on the number of guiding rock properties; and

map, for each of the number of voxels of the core image, the at least one formation property characteristic of the subsample that is the shortest distance to the voxel.

18. The one or more non-transitory machine-readable media of claim 17 , wherein the program code comprises program code executable by the processor to cause the processor to upscale the at least one formation property characteristic for the core image.

19. The one or more non-transitory machine-readable media of claim 17 , wherein the at least one formation property characteristic comprises at least one of a porosity, a permeability, a relative permeability curve, and a capillary pressure curve.

20. The one or more non-transitory machine-readable media of claim 17 , wherein the program code executable by the processor to cause the processor to determine, for each of the number of voxels of the core image, the subsample that is the shortest distance to the voxel comprises program code executable by the processor to cause the processor to:

determine a density and a photoelectric factor for each voxel;

determine a density and a photoelectric factor for each subsample; and

determine the subsample that is the shortest distance to the voxel based on the subsample having the density and the photoelectric factor that is closest to the density and the photoelectric factor of the voxel.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 14, 2022
From: CASTANEDA NETO, RAFAEL MARCH; DREXLER, SANTIAGO GABRIEL; DAVALOS, GABRIELA ALEXANDRA; DERZHI, NAUM MOISEYEVICH; TOELKE, JONAS; SIQUEIRA LIMA, MILENA FERREIRA DE
To: HALLIBURTON ENERGY SERVICES, INC.
Reel/Frame 058664/0416 →
Continuity (1)
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