IP Library Granted Patent US 12,421,850
Granted Patent B2
US 12,421,850 · App. 17/938,072 · Granted Sep 23, 2025

System for providing real-time predictive carbon dioxide corrosion rate modelling

Inventors: Mohammad Ghufaili (Dammam, SA); Mohamud M. Farah (Ras Tanura, SA)
Assignee: SAUDI ARABIAN OIL COMPANY
E21B49/0875C09K8/54G01N33/24
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Quick Facts
Patent No.
US 12,421,850
App. No.
17/938,072
Granted
Sep 23, 2025
Kind
B2
Abstract

A system and method for providing real-time predictive carbon dioxide (CO 2 ) corrosion rate modelling for an oil and gas operation facility includes a modeling system configured to receive dynamic process input data of the oil and gas operation facility, including data relating to CO 2 inhibitor residuals of the oil and gas operation facility. The modeling system implements a semi-empirical real-time corrosion rate model and an injection control module operable to control an injection rate of CO 2 inhibitor into a component of the oil and gas operation facility based on the semi-empirical real-time corrosion rate model.

Claims (15)

1. A system for providing real-time predictive carbon dioxide (CO2) corrosion rate modelling for an oil and gas operation facility comprising:

a modeling system configured to receive dynamic process input data of the oil and gas operation facility, including data relating to CO2 inhibitor residuals of the oil and gas operation facility, the modeling system including:

a semi-empirical real-time corrosion rate model configured to provide real-time CO2 corrosion modelling and automated process control; and

an injection control module operable to control an injection rate of CO2 inhibitor into a component of the oil and gas operation facility from a first injection rate to a second injection rate based on the semi-empirical real-time corrosion rate model.

2. The system of claim 1 , wherein the dynamic process input data includes one or more of temperature, pressure, real-time residual corrosion inhibitor water chemistry, or acid gases composition.

3. The system of claim 1 , wherein the modeling system further includes a prediction engine operable to determine a predicted corrosion rate of a component of the oil and gas operation facility.

4. The system of claim 3 , wherein the prediction engine is operable to receive on-stream inspection (OSI) data and to determine the predicted corrosion rate based on said OSI data.

5. The system of claim 1 , wherein the modeling system further includes a remaining life engine operable to determine remaining life of a component of the oil and gas operation facility.

6. The system of claim 5 , wherein the remaining life engine is operable to receive on-stream inspection (OSI) data and to determine remaining life based on said OSI data.

7. The system of claim 1 , wherein the modeling system further includes a visualization engine operable to visualize a corrosion rate of the oil and gas operation facility.

8. The system of claim 1 , further including a CO2 inhibitor injection pump operable to controllably inject CO2 inhibitor into a component of the oil and gas operation facility, wherein the modeling system further includes an injection control module and a programmable circuit for receiving control parameters from the injection control module and for issuing command signals to the CO2 inhibitor injection pump to thereby controllably inject CO2 inhibitor into a component of the oil and gas operation facility.

9. The system of claim 1 , wherein the dynamic process input data includes a temperature.

10. The system of claim 1 , wherein the dynamic process input data includes a pressure.

11. The system of claim 1 , wherein the dynamic process input data includes a real-time residual corrosion inhibitor water chemistry.

12. The system of claim 1 , wherein the dynamic process input data includes an acid gases composition.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 5, 2022
From: GHUFAILI, MOHAMMAD; FARAH, MOHAMUD M.
To: SAUDI ARABIAN OIL COMPANY
Reel/Frame 061315/0880 →
Continuity (1)
Related Publication 20240117736A1 · Apr 11, 2024
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