IP Library Granted Patent US 11,578,564
Granted Patent B2
US 11,578,564 · App. 16/407,832 · Granted Feb 14, 2023

Systems and methods for predicting shear failure of a rock formation

Inventors: Chao Liu (Houston, TX); Younane Abousleiman (Norman, OK); Hui-Hai Liu (Houston, TX); Yanhui Han (Houston, TX)
Assignee: SAUDI ARABIAN OIL COMPANY
E21B41/00G01V1/282G01V1/284G01V1/50G01V2210/61
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Quick Facts
Patent No.
US 11,578,564
App. No.
16/407,832
Granted
Feb 14, 2023
Kind
B2
Abstract

Systems and methods for determining shear failure of a rock formation are disclosed. The method includes receiving, by a processor, a plurality of parameters related to physical properties of the rock formation, applying the plurality of parameters to a predetermined failure criterion, and determining shear failure of the rock formation based on the failure criterion. In some embodiments the failure criterion is a modified Hoek-Brown failure criterion that takes into consideration an intermediate principal stress, and the difference between normal stresses and an average confining stress.

Claims (220)

1. A method for determining shear failure of a rock formation, the method comprising:

drilling a bore into the rock formation to form a borehole;

positioning a tool within the borehole and acquiring data with the tool;

developing a plurality of parameters related to physical properties of the rock formation from the data;

applying the plurality of parameters to a predetermined failure criterion;

predicting shear failure of the rock formation based on the failure criterion; and

planning an exploration operation of a reservoir within the rock formation by fracture monitoring to determine the predicted shear failure of the rock formation;

wherein the failure criterion comprises:

1

2

[

(

σ

1

-

σ

2

)

2

+

(

σ

2

-

σ

3

)

2

+

(

σ

1

-

σ

3

)

2

]

=

σ

ci

(

m

b

σ

ci

(

ω

σ

2

+

(

1

-

ω

)

σ

3

)

+

s

)

a

where σ l is the maximum principal stress at failure; s and a depend on fracture geometry and surface conditions; m b depends on the fracture and intact rock matrix properties; ω (0≤ω≤1) is the weight term that quantifies the different degrees of the effects of the intermediate principal stress, σ 2 , and the minimal principal stress, σ 3 , on the shear failure of the rock formation; σ ci is the unconfined compressive strength; and the term of ωσ 2 +(1−ω)σ 3 on the right side of equation is the average confining stress during a poly-axial test.

2. The method according to claim 1 , wherein the failure criterion is a modified Hoek-Brown failure criterion.

3. The method according to claim 1 , wherein the failure criterion comprises an intermediate principal stress.

4. The method according to claim 1 , wherein the failure criterion comprises a difference between normal stresses and an average confining stress.

5. The method according to claim 1 , wherein the failure criterion is configured to determine that shear failure of the rock formation occurs when the term of the normal stress differences reaches a predetermined value that is dependent on the unconfined compressive strength (σ ci ), rock matrix and fracture properties (m b , s, a), and the average confining stress, ωσ 2 +(1−ω)σ 3 .

6. A system for determining shear failure of a rock formation, the system comprising:

a borehole obtained by drilling a bore into the rock formation;

a tool positioned within the borehole operable to acquire data;

a processing unit; and

a memory unit in communication with the processing unit, the memory unit comprising program instructions that when executed by the processing unit cause the operations of:

receiving a plurality of parameters related to physical properties of the rock formation, where the plurality of parameters were developed from the data;

applying the plurality of parameters to a predetermined failure criterion; and

performing fracture monitoring to predict shear failure of the rock formation based on the failure criterion,

wherein the failure criterion comprises:

1

2

[

(

σ

1

-

σ

2

)

2

+

(

σ

2

-

σ

3

)

2

+

(

σ

1

-

σ

3

)

2

]

=

σ

ci

(

m

b

σ

ci

(

ω

σ

2

+

(

1

-

ω

)

σ

3

)

+

s

)

a

where σ 1 is the maximum principal stress at failure; s and a depend on fracture geometry and surface conditions; m b depends on the fracture and intact rock matrix properties; ω(0≤ω≤1) is the weight term that quantifies the different degrees of the effects of the intermediate principal stress, σ 2 , and the minimal principal stress, σ 3 , on the shear failure of the rock formation; σ ci is the unconfined compressive strength; and the term of ωσ 2 +(1−ω)σ 3 on the right side of equation is the average confining stress during a poly-axial test.

7. The system according to claim 6 , wherein the failure criterion is a modified Hoek-Brown failure criterion.

8. The system according to claim 6 , wherein the failure criterion comprises an intermediate principal stress.

9. The system according to claim 6 , wherein the failure criterion comprises a difference between normal stresses and an average confining stress.

10. The system according to claim 6 , wherein the failure criterion is configured to determine that shear failure occurs when the term of the normal stress differences reaches a predetermined value that is dependent on the unconfined compressive strength (σ ci ) of the rock formation, rock matrix and fracture properties (m b , s, a), and the average confining stress, ωσ 2 +(1−ω)σ 3 .

11. A non-transitory computer readable medium comprising a computer program, that when executed by the processing unit of claim 7 , is configured to:

receive a plurality of parameters related to physical properties of the rock formation, where the plurality of parameters were developed from the data acquired by the tool positioned within the borehole;

apply the plurality of parameters to a predetermined failure criterion; and

perform fracture monitoring to predict shear failure of the rock formation based on the failure criterion,

wherein the failure criterion is as follows:

1

2

[

(

σ

1

-

σ

2

)

2

+

(

σ

2

-

σ

3

)

2

+

(

σ

1

-

σ

3

)

2

]

=

σ

ci

(

m

b

σ

ci

(

ω

σ

2

+

(

1

-

ω

)

σ

3

)

+

s

)

a

where σ 1 is the maximum principal stress at failure; s and a depend on fracture geometry and surface conditions; m b depends on the fracture and intact rock matrix properties; ω(0≤ω≤1) is the weight term that quantifies the different degrees of the effects of the intermediate principal stress, σ 2 , and the minimal principal stress, σ 3 , on the shear failure of the rock formation; σ ci is the unconfined compressive strength; and the term of ωσ 2 +(1−ω)σ 3 on the right side of equation is the average confining stress during a poly-axial test.

12. The medium according to claim 11 , wherein the failure criterion is a modified Hoek-Brown failure criterion.

13. The medium according to claim 11 , wherein the failure criterion comprises an intermediate principal stress.

14. The medium according to claim 11 , wherein the failure criterion comprises a difference between normal stresses and an average confining stress.

15. The medium according to claim 11 , wherein the failure criterion is configured to determine that shear failure occurs when the term of the normal stress differences reaches a predetermined value that is dependent on the unconfined compressive strength (σ ci ) of the rock formation, rock matrix and fracture properties (m b , s, a), and the average confining stress, ωσ 2 +(1−ω)σ 3 .

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 22, 2019
From: SAUDI ARABIAN UPSTREAM TECHNOLOGY COMPANY
To: SAUDI ARABIAN OIL COMPANY
Reel/Frame 050128/0393 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 19, 2019
From: ARAMCO SERVICES COMPANY
To: SAUDI ARABIAN UPSTREAM TECHNOLOGY COMPANY
Reel/Frame 050087/0246 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 4, 2019
From: LIU, CHAO; ABOUSLEIMAN, YOUNANE; LIU, HUI-HAI; HAN, YANHUI
To: ARAMCO SERVICES COMPANY
Reel/Frame 049364/0216 →
Continuity (2)
Provisional Application 62677764 · May 30, 2018
Related Publication 20190369282A1 · Dec 5, 2019
Cited By (1)
US 12,631,077