Corrosion prediction for integrity assessment of metal tubular structures
A method for assessing an integrity of metal tubular structures may comprise receiving one or more inputs, applying an algorithm to automatically select an appropriate model for a given corrosion scenario, applying a combined model including semi-empirical and multiphase flow corrosion characteristics to the one or more inputs, determining one or more corrosion parameters of either an internal pipe wall, an external pipe surface, or both, applying a corrosion correlation value to the one or more corrosion parameters to produce one or more correlated corrosion parameters, and storing the one or more correlated corrosion parameters on a computer readable medium. A system may comprise an information handling system which may comprise at least one memory operable to store computer-executable instructions, at least one communications interface to access the at least one memory, and at least one processor.
1. A method for assessing an integrity of metal tubular structures comprising:
Receiving one or more inputs;
Applying an algorithm to automatically select an appropriate model for a given corrosion scenario;
Applying a combined model including semi-empirical and multiphase flow corrosion characteristics to the one or more inputs based at least on an injection component;
Determining one or more corrosion parameters of either an internal pipe wall, an external pipe surface, or both;
Applying a corrosion correlation value to the one or more corrosion parameters to produce one or more correlated corrosion parameters; and storing the one or more correlated corrosion parameters on a computer readable medium.
2. The method of claim 1 , wherein the step of applying an algorithm to automatically select an appropriate model for a given corrosion scenario selects a mechanistic O 2 /H 2 S corrosion model for internal corrosion of water-injection tubing.
3. The method of claim 1 , wherein the step of applying an algorithm to automatically select an appropriate model for a given corrosion scenario selects a semi-empirical CO 2 /H 2 S corrosion model for internal corrosion of production tubing.
4. The method of claim 1 , wherein the step of applying an algorithm to automatically select an appropriate model for a given corrosion scenario is based on the one or more inputs.
5. The method of claim 4 , wherein the one or more inputs comprises pipe properties.
6. The method of claim 4 , wherein the one or more inputs comprises fluid properties.
7. The method of claim 4 , wherein the one or more inputs comprises inhibitor usage information properties.
8. A method of manufacturing an integrity assessment data product, the method comprising:
Receiving one or more inputs;
Applying a combined model including semi-empirical and multiphase flow corrosion characteristics to the one or more inputs based at least on an injection component;
Applying an algorithm to select an appropriate model for a given corrosion scenario;
Determining one or more corrosion parameters of either an internal pipe wall or an external pipe surface;
Applying a corrosion correlation value to the one or more corrosion parameters to produce one or more correlated corrosion parameters; and
Recording the one or more correlated corrosion parameters on one or more tangible, non-volatile computer-readable media thereby creating the integrity assessment data product.
9. The method of claim 8 , wherein the step of applying an algorithm to select an appropriate model for a given corrosion scenario is based on the one or more inputs.
10. The method of claim 8 , wherein the step of applying an algorithm to select an appropriate model for a given corrosion scenario selects a semi-empirical CO 2 /H 2 S corrosion model for internal corrosion of production tubing.
11. The method of claim 8 , wherein the one or more inputs comprises pipe properties.
12. The method of claim 8 , wherein the one or more inputs comprises fluid properties.
13. The method of claim 8 , wherein the one or more inputs comprises inhibitor usage information properties.
14. A system for assessing an integrity of metal tubular structures comprising:
An information handling system comprising:
At least one memory operable to store computer-executable instructions;
At least one communications interface to access the at least one memory; and
At least one processor configured to access the at least one memory via the at least one communications interface and execute the computer-executable instructions to:
Receive one or more inputs;
Apply a combined model including semi-empirical and multiphase flow corrosion characteristics to the one or more inputs based at least on an injection component;
Apply an algorithm to automatically select an appropriate model fora given corrosion scenario;
Determine a corrosion parameter of either an internal pipe wall or an external pipe surface;
Apply a corrosion correlation value to the corrosion parameter to produce a correlated corrosion parameter; and
Store the correlated corrosion parameter on a computer readable medium.
15. The system of claim 14 , wherein the computer-executable instructions to apply an algorithm to automatically select an appropriate model for a given corrosion scenario selects a mechanistic O 2 /H 2 S corrosion model for internal corrosion of water-injection tubing.
16. The system of claim 14 , wherein the computer-executable instructions to apply an algorithm to automatically select an appropriate model for a given corrosion scenario selects a semi-empirical CO 2 /H 2 S corrosion model for internal corrosion of production tubing.
17. The system of claim 14 , wherein the one or more inputs comprises pipe properties.
18. The system of claim 14 , wherein the one or more inputs comprises fluid properties.
19. The system of claim 14 , wherein the one or more inputs comprises inhibitor usage information properties.
20. The system of claim 14 , wherein the computer-executable instructions to apply an algorithm to automatically select an appropriate model for a given corrosion scenario is based on the one or more inputs.