IP Library › Granted Patent US 12,412,381
Granted Patent B2
US 12,412,381 · App. 17/754,623 · Granted Sep 9, 2025

Methods and systems for controlling operation of wireline cable spooling equipment

Inventors: Muhannad Abuhaikal (Cambridge, MA); Christopher Bogath (Sugar Land, TX); Vassilis Varveropoulos (Katy, TX); Tianxiang Su (Arlington, MA)
Assignee: SCHLUMBERGER TECHNOLOGY CORPORATION
G06V10/82B65H75/4484B66D1/485E21B19/008E21B19/22G06V10/764B65H2701/34B66D2700/0191E21B2200/09E21B2200/22
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Quick Facts
Patent No.
US 12,412,381
App. No.
17/754,623
Granted
Sep 9, 2025
Kind
B2
Abstract

A method of controlling operation of equipment that spools cable on and off a rotatable drum, in one or more embodiments, includes obtaining video data of a position of the cable on the rotatable drum. The method can also include feeding data into a trained artificial neural network and processing the data fed into the trained artificial neural network to determine at least one of a calculated position of the cable on the rotatable drum, a calculated fleet angle, or both. The method can also include actuating the rotatable drum to one of spool cable on and off the rotatable drum.

Claims (22)

1. A method of controlling operation of equipment that spools cable on and off a rotatable drum, the method comprising:

obtaining video data of the cable on the rotatable drum;

feeding data into a trained artificial neural network;

processing the data fed into the trained artificial neural network to determine a cable position, the cable position being a distance between the cable and a flange of the rotatable drum, wherein the trained artificial neural network is trained using a ground truth cable position calculated using a rotation of the rotatable drum, a cable layer direction, and an initial cable position, and wherein the trained artificial neural network applies a Bayesian dropout method to quantify model uncertainty; and

actuating the rotatable drum to spool cable on or off the rotatable drum.

2. The method according to claim 1 , wherein the cable comprises a wireline cable that is configured to convey at least one wireline tool in a well.

3. The method according to claim 1 , wherein the artificial neural network is performed on a processor.

4. The method according to claim 1 , wherein the artificial neural network is configured to process frames across an entire width of the drum.

5. The method according to claim 4 , wherein the processing of frames includes processing of in-distribution frames.

6. The method according to claim 5 , wherein the processing of frames includes processing of out-of-distribution frames.

7. The method according to claim 5 , wherein an alarm is activated when out-of-distribution frames are processed.

8. The method according to claim 1 , wherein a two dimensional camera is used to obtain video data.

9. The method according to claim 1 , wherein a three dimensional camera is used to obtain video data.

10. The method according to claim 1 , further comprising:

outputting data to a user based upon predictions of cable placement on the drum.

11. A system comprising:

a cable;

a rotatable drum configured to spool the cable on to and off of the rotatable drum;

a video camera system configured to obtain video data of a position of the cable on the rotatable drum; and

a trained artificial neural network to process video data of the drum to infer a cable position on the drum, the cable position being a distance between the cable and a flange of the rotatable drum, wherein the trained artificial neural network is trained using a ground truth cable position calculated using a rotation of the rotatable drum, a cable layer direction, and an initial cable position, and wherein the trained artificial neural network applies a Bayesian dropout method to quantify model uncertainty.

12. The system according to claim 11 , wherein the cable comprises a wireline cable that is configured to convey at least one wireline tool in a well.

13. The system according to claim 11 , wherein the trained artificial neural network comprises a processor.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 18, 2024
From: ABUHAIKAL, MUHANNAD; BOGATH, CHRISTOPHER; VARVEROPOULOS, VASSILIS; SU, TIANXIANG
To: SCHLUMBERGER TECHNOLOGY CORPORATION
Reel/Frame 066806/0859 →
Continuity (3)
Provisional Application 62913007 · Oct 9, 2019
Provisional Application 62912294 · Oct 8, 2019
Related Publication 20220364423A1 · Nov 17, 2022
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