Parameter inference, depth estimation, and anomaly detection for conveyance automation
US-2025027402-A1 · Jan 23, 2025 · US
US12345109B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12345109-B2 |
| Application number | US-202318489948-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 19, 2023 |
| Priority date | Oct 19, 2023 |
| Publication date | Jul 1, 2025 |
| Grant date | Jul 1, 2025 |
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Systems and methods for performing an intervention operation in a wellbore using a friction reducer fluid include a coiled tubing insertable into the wellbore, a pump operable to pump the friction reducer fluid through the coiled tubing and into the wellbore, and sensors operable to detect wellbore conditions. A controller including a processor is operable to automatically predict a wellbore depth at which the coiled tubing will incur a lock-up in the future based on the wellbore conditions and control the pump to pump the friction reducer fluid though the coiled tubing and into the wellbore to prevent the future lock-up.
Opening claim text (preview).
What is claimed is: 1. A system for performing an intervention operation in a wellbore using a friction reducer fluid, comprising: a coiled tubing insertable into the wellbore; a pump operable to pump the friction reducer fluid through the coiled tubing and into the wellbore; sensors operable to detect wellbore conditions; and a controller comprising a processor, wherein the controller is operable to automatically: predict a wellbore depth at which the coiled tubing will incur a lock-up in the future based on the wellbore conditions; and control the pump to pump the friction reducer fluid though the coiled tubing and into the wellbore to prevent the future lock-up. 2. The system of claim 1 , wherein the controller is operable to automatically predict the wellbore depth at which the coiled tubing will incur the future lock-up based on a generative model usable to predict a future friction coefficient of the coiled tubing. 3. The system of claim 2 , wherein the generative model comprises a Markov chain. 4. The system of claim 2 , wherein the controller is operable to automatically predict the wellbore depth at which the coiled tubing will incur the future lock-up based on a current friction coefficient for the coiled tubing determined using a model for the coiled tubing and the wellbore conditions that is used in the generative model. 5. The system of claim 2 , wherein the wellbore depth at which the coiled tubing will incur the future lock-up is the wellbore depth at which a predicted future friction drag force determined using the predicted future friction coefficient is equal to or greater than a critical buckling load of the coiled tubing. 6. The system of claim 1 , wherein the controller is operable to automatically control the pump based on at least one of a pumping start time or a pump rate. 7. The system of claim 1 , wherein the controller is further operable to automatically: determine an amount of the friction reducer fluid to prevent the future lock-up; and control the pump to pump the amount of the friction reducer fluid through the coiled tubing into the wellbore to prevent the future lock-up. 8. The system of claim 7 , wherein the controller is further operable to continue to automatically determine the amount of friction reducer fluid to prevent future lock-up and continue to automatically control the pump to pump the friction reducer to prevent future lock-ups, until the coiled tubing is inserted to a target wellbore depth. 9. The system of claim 7 , wherein the controller is further operable to automatically: determine a minimum amount of the friction reducer fluid to prevent the future lock-up; and control the pump to pump the minimum amount of the friction reducer fluid through the coiled tubing into the wellbore to prevent the future lock-up. 10. A method of operating a coiled tubing injection system to perform a coiled tubing injection operation comprising: injecting a coiled tubing into a wellbore using a coiled tubing injector; monitoring wellbore conditions relating to the injection operation using sensors to detect wellbore conditions; automatically predicting, using a controller comprising a processor, a wellbore depth at which the coiled tubing will incur a lock-up in the future based on the wellbore conditions; and automatically controlling a pump using the controller to pump a friction reducer fluid into the wellbore to prevent the future lock-up. 11. The method of claim 10 , wherein automatically predicting the wellbore depth of the future lock-up further comprises using a generative model to predict a future friction coefficient of the coiled tubing. 12. The method of claim 11 , wherein the generative model comprises a Markov model. 13. The method of claim 11 , wherein automatically predicting the wellbore depth of the future lock-up further comprises using a model for the coiled tubing and the wellbore conditions to determine a current friction coefficient for the coiled tubing usable in the generative model. 14. The method of claim 11 , wherein the wellbore depth at which the coiled tubing will incur the future lock-up is the wellbore depth at which a predicted future friction drag force determined using the predicted future friction coefficient is equal to or greater than a critical buckling load of the coiled tubing. 15. The method of claim 10 , further comprising: automatically determining a minimum amount of friction reducer fluid to prevent the future lock-up; and automatically controlling the pump to pump the minimum amount of the friction reducer fluid through the coiled tubing into the wellbore to prevent the future lock-up. 16. A computer-readable medium storing instructions which when processed by at least one processor perform a method of operating a coiled tubing injection system for injecting a coiled tubing into a wellbore and controlling a pump to pump a friction reducer fluid into the wellbore comprising: monitoring wellbore conditions relating to injecting the coiled tubing; automatically predicting, using a controller comprising a processor, a wellbore depth at which the coiled tubing will incur a lock-up in the future based on the wellbore conditions; and automatically controlling the pump using the controller to pump the friction reducer fluid into the wellbore to prevent the future lock-up. 17. The computer-readable medium of claim 16 , wherein automatically predicting the wellbore depth of the future lock-up further comprises using a generative model to predict a future friction coefficient of the coiled tubing. 18. The computer-readable medium of claim 17 , wherein automatically predicting the wellbore depth of the future lock-up further comprises using a model for the coiled tubing and the wellbore conditions to determine a current friction coefficient for the coiled tubing usable in the generative model. 19. The computer-readable medium of claim 17 , wherein the wellbore depth at which the coiled tubing will incur the future lock-up is the wellbore depth at which a predicted future friction drag force determined using the predicted future friction coefficient is equal to or greater than a critical buckling load of the coiled tubing. 20. The computer-readable medium of claim 16 , wherein automatically controlling the pump using the controller further comprises: automatically determining a minimum amount of the friction reducer fluid to prevent the future lock-up; and automatically controlling the pump to pump the minimum amount of the friction reducer fluid through the coiled tubing into the wellbore to prevent the future lock-up.
Handling reeled pipe or rod units, e.g. flexible drilling pipes {(lifting or hauling appliances using two or more cooperating endless chains B66D3/003)} · CPC title
Computer models or simulations, e.g. for reservoirs under production, drill bits · CPC title
Methods or apparatus for cleaning boreholes or wells (E21B21/00 takes precedence) · CPC title
Controlling or monitoring pressure or flow of drilling fluid, e.g. automatic filling of boreholes, automatic control of bottom pressure (valve arrangements therefor E21B21/10) · CPC title
by visual inspection · CPC title
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