US2025116186A1PendingUtilityA1
Method and system for automated monitoring of the operational parameters and severity of the phenomenon of co2 stress corrosion cracking in flexible pipelines
Assignee: PETROLEO BRASILEIRO S A – PETROBRASPriority: Oct 5, 2023Filed: Oct 4, 2024Published: Apr 10, 2025
Est. expiryOct 5, 2043(~17.2 yrs left)· nominal 20-yr term from priority
Inventors:George Carneiro CampelloFabricio Pinheiro Dos SantosLuiz Antonio Sulino De NegreirosTiago Brun CoserRodolfo Figueira De Souza
E21B 47/07E21B 47/007E21B 47/006E21B 47/001
44
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Claims
Abstract
The present disclosure is applied to the field of flexible pipes, risers, or pipelines that are subject to the phenomenon of CO2 stress corrosion cracking (SCC-CO2). More specifically, the present disclosure relates to methods and systems for monitoring automated of the operational parameters and severity of the phenomenon of CO2 stress corrosion cracking in flexible pipelines. An embodiment of a method includes collecting real-time monitored operational data, determining an Operational Severity Index (OSI), and displaying the monitored OSI in real time in the computational tool.
Claims
exact text as granted — not AI-modified1 . A method for automated monitoring of the operational parameters and severity of the phenomenon of CO 2 stress corrosion cracking in flexible pipelines, the method comprising:
collecting real-time monitored operational data, by means of a digital twin computational tool, from a server that stores monitored operational data from one or more sensors installed in a subsea assembly; determining an Operational Severity Index (OSI), based on the collected monitored operational data, by means of OSI calculation performed by the computational tool; and displaying monitored OSI in real time in the computational tool.
2 . The method according to claim 1 , wherein the monitored operational data comprise the following operational parameters: pipeline internal pressure data stored over time in a pressure history, pipeline internal temperature data stored over time in a temperature history, and CO 2 content data in the fluid transported inside the pipeline stored over time in a CO 2 content history.
3 . The method according to claim 1 , wherein the computational tool is configured to perform the OSI calculation, by means of an OSI calculation method integrated therein, through the following expression:
ISO
CO
2
=
(
1.8711
·
e
-
0.005
%
CO
2
·
PP
·
PP
-
(
0.0031
·
T
+
0.534
)
·
0.0002
·
e
-
28113
8.314
·
(
T
+
273.15
)
)
*
10
8
wherein:
PP corresponds to the partial pressure of CO 2 in the flowed fluid, and
corresponds to the internal temperature of the pipeline.
4 . The method according to claim 2 , wherein
computational tool is configured to perform the OSI calculation, by means of an OSI calculation method integrated therein, through the following expression:
ISO
CO
2
=
(
1.8711
·
e
-
0.005
%
CO
2
·
PP
·
PP
-
(
0.0031
·
T
+
0.534
)
·
0.0002
·
e
-
28113
8.314
·
(
T
+
273.15
)
)
*
10
8
wherein:
PP corresponds to the partial pressure of CO 2 in the flowed fluid, and
T corresponds to the internal temperature of the pipeline.
5 . The method according to claim 1 , further comprising:
comparing the monitored OSI with a reference OSI, which corresponds to an upper limit calculated based on limit values of pressure, temperature and CO 2 content, in a future scenario condition, estimated in calculations of the useful life of the pipeline.
6 . The method according to claim 2 , further comprising:
comparing the monitored OSI with a reference OSI, which corresponds to an upper limit calculated based on limit values of pressure, temperature and CO 2 content, in a future scenario condition, estimated in calculations of the useful life of the pipeline.
7 . The method according to claim 3 , further comprising:
comparing the monitored OSI with a reference OSI, which corresponds to an upper limit calculated based on limit values of pressure, temperature and CO 2 content, in a future scenario condition, estimated in calculations of the useful life of the pipeline.
8 . The method according to claim 1 , further comprising:
determining a monitored Cumulative Operational Severity Index (COSI), which is a sum of monitored OSI, and a reference COSI, which is a sum of reference OSI.
9 . The method according to claim 2 , further comprising:
determining a monitored Cumulative Operational Severity Index (COSI), which is a sum of monitored OSI, and a reference COSI, which is a sum of reference OSI.
10 . The method according to claim 3 , further comprising:
determining a monitored Cumulative Operational Severity Index (COSI), which is a sum of monitored OSI, and a reference COSI, which is a sum of reference OSI.
11 . The method according to claim 5 , further comprising:
determining a monitored Cumulative Operational Severity Index (COSI), which is a sum of monitored OSI, and a reference COSI, which is a sum of reference OSI.
12 . A system for automated monitoring of the operational parameters and severity of the phenomenon of CO 2 stress corrosion cracking in flexible pipelines, the system comprising:
one or more sensors installed in a subsea assembly to monitor operational parameters of a pipeline; a server that stores monitored operational data; and a digital twin computational tool configured to: collect the monitored operational data, determine an Operational Severity Index, OSI, based on the collected monitored operational data, by means of OSI calculation, and display monitored OSI in real time.Join the waitlist — get patent alerts
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