IP Library Granted Patent US 12,332,230
Granted Patent B2
US 12,332,230 · App. 18/046,079 · Granted Jun 17, 2025

Prediction of cement longevity using digital cement modeling

Inventor: Arpita P. Bathija (Houston, TX)
Assignee: SAUDI ARABIAN OIL COMPANY
G01N33/24E21B47/005E21B49/00G01N23/046G01N33/383G06F30/13G06F30/20G01N2223/616
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Quick Facts
Patent No.
US 12,332,230
App. No.
18/046,079
Granted
Jun 17, 2025
Kind
B2
Abstract

A method to perform a field operation with digital cement modeling is disclosed. The method includes acquiring computed tomography (CT) scan data of a metal-cement core sample and a cement-rock core sample that are associated with a borehole setup, generating, based on the CT scan data of the metal-cement core sample and the cement-rock core sample, a three-dimensional (3D) image of a synthesized metal, cement, and rock core sample, generating, by at least upscaling the synthesized metal, cement, and rock core sample, a multi-scale borehole digital model of the borehole setup, and calculating, using the multi-scale borehole digital model of the borehole setup and based on digital rock physics techniques, a predicted cement longevity.

Claims (79)

1. A method to perform a field operation with digital cement modeling, comprising:

acquiring computed tomography (CT) scan data of a metal-cement core sample and a cement-rock core sample that are associated with a borehole;

generating, based on the CT scan data of the metal-cement core sample and the cement-rock core sample, a three-dimensional (3D) image of a synthesized metal, cement, and rock core sample;

identifying, in the 3D image, structural pores and heterogeneous material segments in each of a metal section, cement section, and rock section of the synthesized metal, cement, and rock core sample, wherein the heterogeneous material segments comprise minerals, sand, and steel;

generating, by at least assigning corresponding physical properties to the heterogeneous material segments in the 3D image, a composite digital rock model, wherein the physical properties comprise Young's modulus, Poisson's ratio, and compressive strength of the minerals, sand, and steel;

generating, by at least upscaling the synthesized metal, cement, and rock core sample according to a geometry of the borehole, a multi-scale borehole digital model of the borehole;

simulating, using the multi-scale borehole digital model, a well operation condition of the borehole at different time points to generate a predicted time to cement failure, wherein the cement failure corresponds to when simulated elastic deformation in the cement section exceeds a limit based on the compressive strength in the cement section; and

facilitating, based on the predicted time to cement failure, the field operation.

2. The method of claim 1 , further comprising:

constructing the metal-cement core sample by casting a cement section on top of a metal core sample,

wherein the metal core sample comprises metal material used to construct a borehole casing of the borehole setup, and

wherein the cement section comprises cement material used to fill an annulus of the borehole setup.

3. The method of claim 1 , further comprising:

constructing the cement-rock core sample by casting a cement section on top of a rock core sample,

wherein the cement section comprises cement material used to fill an annulus of the borehole setup, and

wherein the rock core sample comprises rock material surrounding the borehole setup.

4. The method of claim 1 , further comprising:

optimizing the predicted cement longevity by varying contents of metal material, cement material, rock material of the metal-cement core sample and the cement-rock core sample, and an operating condition of the borehole setup,

wherein the predicted cement longevity is generated based on applying the digital rock physics techniques to the multi-scale borehole digital model under the operating condition of the borehole setup.

5. The method of claim 1 , further comprising:

wherein the multi-scale borehole digital model is generated by replicating the composite digital rock model.

6. The method of claim 5 , further comprising:

computing bulk mechanical properties of the borehole setup based on the structural pores and heterogeneous material segments of the multi-scale borehole digital model.

7. The method of claim 1 ,

wherein the field operation comprises at least one of a well production operation, well drilling operation, well completion operation, and well maintenance operation.

8. A data gathering and analysis system, comprising:

a data storage device comprising memory for storing computed tomography (CT) scan data of core samples, core sample images, and borehole digital models;

a computer processor; and

the memory further storing instructions, when executed, causing the computer processor to:

acquire the CT scan data of a metal-cement core sample and a cement-rock core sample that are associated with a borehole;

generate, based on the CT scan data of the metal-cement core sample and the cement-rock core sample, a three-dimensional (3D) image of a synthesized metal, cement, and rock core sample;

identify, in the 3D image, structural pores and heterogeneous material segments in each of a metal section, cement section, and rock section of the synthesized metal, cement, and rock core sample, wherein the heterogeneous material segments comprise minerals, sand, and steel;

generate, by at least assigning corresponding physical properties to the heterogeneous material segments in the 3D image, a composite digital rock model, wherein the physical properties comprise Young's modulus, Poisson's ratio, and compressive strength of the minerals, sand, and steel;

generate, by at least upscaling the synthesized metal, cement, and rock core sample according to a geometry of the borehole, a multi-scale borehole digital model of the borehole;

simulate, using the multi-scale borehole digital model, a well operation condition of the borehole at different time points to generate a predicted time to cement failure, wherein the cement failure corresponds to when simulated elastic deformation in the cement section exceeds a limit based on the compressive strength in the cement section; and

facilitate, based on the predicted time to cement failure, the field operation.

9. The data gathering and analysis system of claim 8 ,

wherein the metal-cement core sample is constructed by casting a cement section on top of a metal core sample,

wherein the metal core sample comprises metal material used to construct a borehole casing of the borehole setup, and

wherein the cement section comprises cement material used to fill an annulus of the borehole setup.

10. The data gathering and analysis system of claim 8 ,

wherein the cement-rock core sample is constructed by casting a cement section on top of a rock core sample,

wherein the cement section comprises cement material used to fill an annulus of the borehole setup, and

wherein the rock core sample comprises rock material surrounding the borehole setup.

11. The data gathering and analysis system of claim 8 , the instructions, when executed, further causing the computer processor to:

optimize the predicted cement longevity by varying contents of metal material, cement material, rock material of the metal-cement core sample and the cement-rock core sample, and an operating condition of the borehole setup,

wherein the predicted cement longevity is generated based on applying the digital rock physics techniques to the multi-scale borehole digital model under the operating condition of the borehole setup.

12. The data gathering and analysis system of claim 8 ,

wherein the multi-scale borehole digital model is generated by replicating the composite digital rock model.

13. The data gathering and analysis system of claim 12 , the instructions, when executed, further causing the computer processor to:

compute bulk mechanical properties of the borehole setup based on the structural pores and heterogeneous material segments of the multi-scale borehole digital model.

14. The data gathering and analysis system of claim 8 ,

wherein the field operation comprises at least one of a well production operation, well drilling operation, well completion operation, and well maintenance operation.

15. A system comprising:

a wellsite having a borehole penetrating a subterranean formation in a field; and

a data gathering and analysis system comprising:

a processor; and

memory storing instructions, when executed by the computer processor comprising functionality for:

acquiring computed tomography (CT) scan data of a metal-cement core sample and a cement-rock core sample that are associated with a borehole;

generating, based on the CT scan data of the metal-cement core sample and the cement-rock core sample, a three-dimensional (3D) image of a synthesized metal, cement, and rock core sample;

identifying, in the 3D image, structural pores and heterogeneous material segments in each of a metal section, cement section, and rock section of the synthesized metal, cement, and rock core sample, wherein the heterogeneous material segments comprise minerals, sand, and steel;

generating, by at least assigning corresponding physical properties to the heterogeneous material segments in the 3D image, a composite digital rock model, wherein the physical properties comprise Young's modulus, Poisson's ratio, and compressive strength of the minerals, sand, and steel;

generating, by at least upscaling the synthesized metal, cement, and rock core sample according to a geometry of the borehole, a multi-scale borehole digital model of the borehole;

simulating, using the multi-scale borehole digital model, a well operation condition of the borehole at different time points to generate a predicted time to cement failure, wherein the cement failure corresponds to when simulated elastic deformation in the cement section exceeds a limit based on the compressive strength in the cement section; and

facilitating, based on the predicted time to cement failure, the field operation.

16. The system of claim 15 ,

wherein the metal-cement core sample is constructed by casting a first cement section on top of a metal core sample,

wherein the cement-rock core sample is constructed by casting a second cement section on top of a rock core sample,

wherein the metal core sample comprises metal material used to construct a borehole casing of the borehole setup,

wherein the first and second cement sections comprise cement material used to fill an annulus of the borehole setup, and

wherein the rock core sample comprises rock material surrounding the borehole setup.

17. The system of claim 16 , the data gathering and analysis system further comprising functionality for:

optimizing the predicted cement longevity by varying contents of the metal material, the cement material, the rock material, and an operating condition of the borehole setup,

wherein the predicted cement longevity is generated based on applying the digital rock physics techniques to the multi-scale borehole digital model under the operating condition of the borehole setup.

18. The system of claim 15 ,

wherein the multi-scale borehole digital model is generated by replicating the composite digital rock model.

19. The system of claim 18 , the data gathering and analysis system further comprising functionality for:

computing bulk mechanical properties of the borehole setup based on the structural pores and heterogeneous material segments of the multi-scale borehole digital model.

20. The system of claim 15 , wherein the field operation comprises at least one of a well production operation, well drilling operation, well completion operation, and well maintenance operation.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 18, 2023
From: SAUDI ARAMCO UPSTREAM TECHNOLOGIES COMPANY
To: SAUDI ARABIAN OIL COMPANY
Reel/Frame 065268/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 17, 2023
From: ARAMCO SERVICES COMPANY
To: SAUDI ARAMCO UPSTREAM TECHNOLOGIES COMPANY
Reel/Frame 065255/0318 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 24, 2023
From: BATHIJA, ARPITA P.
To: ARAMCO SERVICES COMPANY
Reel/Frame 063749/0352 →
Continuity (1)
Related Publication 20240125755A1 · Apr 18, 2024
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