US2025084754A1PendingUtilityA1

Techniques for automatically generating and/or performing a coiled tubing test

Assignee: SCHLUMBERGER TECHNOLOGY CORPPriority: Sep 11, 2023Filed: Sep 11, 2024Published: Mar 13, 2025
Est. expirySep 11, 2043(~17.2 yrs left)· nominal 20-yr term from priority
E21B 19/22E21B 47/007E21B 17/20
48
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Claims

Abstract

Certain embodiments of the present disclosure include methods, systems, and apparatus for automatically generating a pull test schedule and/or executing one or more pull tests. In certain embodiments, a priori data may be used to automatically generate a pull test plan or schedule. In addition, in certain embodiments, real-time data may be used to automatically and/or manually adjust or fine-tune the pull test schedule. In addition, in certain embodiments, an application may automatically generate a pull test schedule and/or automate one or more pull tests. In addition, in certain embodiments, the application may automatically advise a coiled tubing (CT) operator regarding where and how to pull test in substantially real-time.

Claims

exact text as granted — not AI-modified
1 . A method, comprising:
 performing a coiled tubing (CT) operation including deploying a string of CT pipe into a wellbore;   receiving a priori data relating to the CT operation; and   automatically generating a pull test schedule based on the a priori data.   
     
     
         2 . The method of  claim 1 , wherein the pull test schedule defines a first set of intervals of the string of the CT pipe where pull tests are encouraged and a second set of intervals of the string of the CT pipe where pull tests are discouraged. 
     
     
         3 . The method of  claim 2 , wherein the pull test schedule also defines pull lengths for respective pull tests. 
     
     
         4 . The method of  claim 1 , wherein the a priori data comprises one or more fatigue models for the CT pipe. 
     
     
         5 . The method of  claim 1 , wherein the a priori data comprises one or more mechanical defect records relating to the CT pipe. 
     
     
         6 . The method of  claim 1 , wherein the a priori data comprises one or more weak points in the CT pipe. 
     
     
         7 . The method of  claim 1 , wherein the a priori data comprises one or more hole surveys relating to the wellbore. 
     
     
         8 . The method of  claim 1 , wherein the a priori data comprises one or more well completion schematics that define geometries of completion equipment deployed into the wellbore via the string of the CT pipe. 
     
     
         9 . The method of  claim 1 , wherein the a priori data comprises a description of a bottom hole assembly deployed into the wellbore via the string of the CT pipe. 
     
     
         10 . The method of  claim 1 , comprising:
 receiving real-time operational data relating to the CT operation in substantially real time during performance of the CT operation; and   automatically adjusting the pull test schedule based on the real-time operational data.   
     
     
         11 . The method of  claim 10 , wherein the real-time operational data comprises surface measurements relating to operation of surface equipment during the CT operation. 
     
     
         12 . The method of  claim 10 , wherein the real-time operational data comprises downhole measurements relating to operation of downhole equipment during the CT operation. 
     
     
         13 . The method of  claim 10 , wherein the real-time operational data comprises pipe integrity measurements for the CT pipe. 
     
     
         14 . The method of  claim 10 , wherein the real-time operational data comprises a CT pipe fatigue profile that is updated in real time by one or more fatigue models. 
     
     
         15 . The method of  claim 1 , comprising automatically adjusting operational parameters of the CT operation based on the pull test schedule. 
     
     
         16 . A well control system configured to:
 receive a priori data relating to a coiled tubing (CT) operation during which a string of CT pipe is deployed into a wellbore; and   automatically generate a pull test schedule based on the a priori data, wherein the pull test schedule defines a first set of intervals of the string of the CT pipe where pull tests are encouraged and a second set of intervals of the string of the CT pipe where pull tests are discouraged, and wherein the pull test schedule also defines pull lengths for respective pull tests.   
     
     
         17 . The well control system of  claim 16 , wherein the a priori data comprises one or more fatigue models for the CT pipe, one or more mechanical defect records relating to the CT pipe, one or more weak points in the CT pipe, one or more hole surveys relating to the wellbore, one or more well completion schematics that define geometries of completion equipment deployed into the wellbore via the string of the CT pipe, a description of a bottom hole assembly deployed into the wellbore via the string of the CT pipe, or some combination thereof. 
     
     
         18 . The well control system of  claim 16 , wherein the well control system is configured to:
 receive real-time operational data relating to the CT operation in substantially real time during performance of the CT operation, wherein the real-time operational data comprises surface measurements relating to operation of surface equipment during the CT operation, downhole measurements relating to operation of downhole equipment during the CT operation, pipe integrity measurements for the CT pipe, a CT pipe fatigue profile that is updated in real time by one or more fatigue models, or some combination thereof; and   automatically adjust the pull test schedule based on the real-time operational data.   
     
     
         19 . The well control system of  claim 16 , wherein the well control system is configured to automatically adjust operational parameters of the CT operation based on the pull test schedule. 
     
     
         20 . A tangible, non-transitory computer readable medium comprising processor-executable instructions, that when executed by one or more processors, cause the one or more processors to:
 receive a priori data relating to a coiled tubing (CT) operation during which a string of CT pipe is deployed into a wellbore; and   automatically generate a pull test schedule based on the a priori data, wherein the pull test schedule defines a first set of intervals of the string of the CT pipe where pull tests are encouraged and a second set of intervals of the string of the CT pipe where pull tests are discouraged, and wherein the pull test schedule also defines pull lengths for respective pull tests.

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