IP Library › Granted Patent US 9,912,918
Granted Patent B2
US 9,912,918 · App. 14/889,810 · Granted Mar 6, 2018

Estimating casing wear

Inventor: Robello Samuel (Cypress, TX)
Assignee: LANDMARK GRAPHICS CORPORATION
H04N7/185E21B21/00E21B21/066E21B44/02E21B47/0006G06T7/0008G06T7/62G06T2207/30164G06T2207/30181
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Quick Facts
Patent No.
US 9,912,918
App. No.
14/889,810
Granted
Mar 6, 2018
Kind
B2
Abstract

Estimating casing wear. At least some of the illustrative embodiments are methods including: capturing an image comprising cuttings and casing wear particles on a shale shaker in a drilling operation, the capturing by at least one camera associated with the shale shaker; identifying casing wear particles shown in the image, the identifying by a computer system; and estimating a volume of casing wear based on the identifying.

Claims (42)

1. A method comprising:

receiving, by a computer system, an image captured by at least one camera associated with a shale shaker, the image comprising cuttings and casing wear particles on the shale shaker in a drilling operation;

identifying, by the computer system, casing wear particles shown in the image;

estimating an originating location of the identified casing wear particles within a casing;

estimating a volume of casing wear expected at the originating location of the casing wear particles;

changing a drilling parameter responsive to the estimated volume of casing wear; and

drilling a wellbore through a formation according to the changed drilling parameter.

2. The method of claim 1 wherein estimating further comprises estimating at least one selected from the group consisting of: volume of casing wear that occurs within a window of time; volume of casing wear that occurs during a drilling time; volume of casing wear experienced for a length of casing; volume of casing wear at a measured depth; volume of casing wear that occurs over a milling time; and volume of casing wear that occurs during a fishing operation.

3. The method of claim 1 wherein the image captured by the camera is a thermal image.

4. The method of claim 1 , wherein estimating the originating location further comprises estimating based on at least one selected from the group consisting of: temperature of the casing wear particles; shape of the casing wear particles; and size of the casing wear particles.

5. The method of claim 1 , wherein estimating the originating location further comprises determining a temperature of the casing wear particles.

6. The method of claim 1 , wherein capturing further comprises capturing a plurality of images.

7. The method of claim 6 wherein capturing the plurality of images further comprises capturing by way of multiple cameras.

8. The method of claim 1 , wherein the drilling parameter is selected from the group consisting of: weight-on-bit; rotational speed of a drillstring; and a component of a bottomhole assembly.

9. A system comprising:

a camera associated with a shale shaker;

a processor coupled to the camera;

a memory coupled to the processor, the memory storing a program that, when executed by the processor, causes the processor to:

receive an image captured by the camera, the image comprising cuttings and casing wear particles on a shale shaker in a drilling operation;

identify casing wear particles shown in the image;

estimate an originating location of the identified casing wear particles within a casing;

estimate a volume of casing wear expected at the originating location of the casing wear particles;

change a drilling parameter responsive to the estimated volume of casing wear; and

drill a wellbore through a formation according to the changed drilling parameter.

10. The system of claim 9 wherein the camera is coupled to the shale shaker.

11. The system of claim 9 wherein the camera is coupled to a piece of drilling equipment located in proximity to the shale shaker.

12. The system of claim 9 , wherein when the processor estimates the volume, the program further causes the processor to estimate at least one selected from the group consisting of: volume of casing wear that occurs within a window of time; volume of casing wear that occurs during a drilling time; volume of casing wear experienced for a length of casing; volume of casing wear at a measured depth;

volume of casing wear that occurs over a milling time; and volume of casing wear that occurs during a fishing operation.

13. The system of claim 9 , wherein the image is a thermal image.

14. The system of claim 9 , wherein when the processor estimates the originating location, the program further causes the processor to estimate based on at least one selected from the group consisting of: temperature of the casing wear particles; shape of the casing wear particles; and size of the casing wear particles.

15. The system of claim 9 , wherein when the processor estimates the originating location, the program further causes the processor to determine a temperature of the casing wear particles.

16. A non-transitory computer-readable medium storing a program that, when executed by a processor, causes the processor to:

receive an image captured by a camera associated with a shale shaker, the image comprising cuttings and casing wear particles on the shale shaker in a drilling operation;

identify casing wear particles located within the image;

estimate an originating location of the identified casing wear particles within a casing;

estimate a volume of casing wear expected at the originating location of the casing wear particles;

change a drilling parameter responsive to the estimated volume of casing wear; and

drill a wellbore through a formation according to the changed drilling parameter.

17. The non-transitory computer-readable medium of claim 16 wherein when the program estimates the volume, the program further causes the processor to estimate at least one selected from the group consisting of: volume of casing wear that occurs within a window of time; volume of casing wear that occurs during a drilling time; volume of casing wear experienced for a length of casing; volume of casing wear at a measured depth; volume of casing wear that occurs over a milling time; and volume of casing wear that occurs during a fishing operation.

18. The non-transitory computer-readable medium of claim 16 , wherein the image is a thermal image.

19. The non-transitory computer-readable medium of claim 16 , wherein when the program estimates, the program further causes the processor to estimate based on least one selected from the group consisting of: temperature of the casing wear particles; shape of the casing wear particles; and size of the casing wear particles.

20. The non-transitory computer-readable medium of claim 16 , wherein when the program estimates the originating location, the program further causes the processor to determine a temperature of the casing wear particles.

Continuity (1)
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