Granted Patent B2

US 12,398,639 · App. 17/959,039 · Granted Aug 26, 2025

Inventors: Maher Hamed Alerwi (Dhahran, SA); Christian Canto Maya (Dhahran, SA); Layan Alaeddin AlSharif (Dhahran, SA); Nada Ibrahim Alruwaii (Tarut, SA); Hamad Al Saiari (Al Khobar, SA)

Assignee: Saudi Arabian Oil Company

E21B47/117G05B23/0286E21B2200/20

Abstract

Claims (38)

1. A computer-implemented method, comprising:

determining, by one or more hardware processors, an amount of Equivalent Carbon Dioxide (ECO2) associated with a pipeline leak in a hydrocarbon reservoir;

determining, by the one or more hardware processors, a probability of failure of the pipeline leak in the hydrocarbon reservoir;

determining, by the one or more hardware processors, an environmental consequence factor of the pipeline leak in the hydrocarbon reservoir;

determining, by the one or more hardware processors, a severity factor of the pipeline leak in the hydrocarbon reservoir based on at least one of the amount of ECO2, the probability of failure, or the environmental consequence factor;

outputting, by the one or more hardware processors, the severity factor in a user interface; and

shutting down a production operation of the hydrocarbon reservoir based on the severity factor.

2. The computer-implemented method of claim 1 , wherein the amount of ECO2 is determined based on at least one of a fluid density or a fluid viscosity of oil in the hydrocarbon reservoir.

3. The computer-implemented method of claim 1 , wherein the amount of ECO2 is determined based on distill information of oil in the hydrocarbon reservoir.

4. The computer-implemented method of claim 1 , wherein the environmental consequence factor is determined based on at least one of soil type data, water ways data, terrain data, or wildlife data of the hydrocarbon reservoir.

5. The computer-implemented method of claim 1 , wherein the severity factor is further determined based on a weight of the amount of ECO2, a weight of the probability of failure, or a weight of the environmental consequence factor.

6. The computer-implemented method of claim 1 , further comprising: adjusting a monitoring frequency of the hydrocarbon reservoir based on the severity factor.

7. A device, comprising:

at least one hardware processor; and

a non-transitory computer-readable storage medium coupled to the at least one hardware processor and storing programming instructions for execution by the at least one hardware processor, wherein the programming instructions, when executed, cause the at least one hardware processor to perform operations comprising:

determining an amount of Equivalent Carbon Dioxide (ECO2) associated with a pipeline leak in a hydrocarbon reservoir;

determining a probability of failure of the pipeline leak in the hydrocarbon reservoir;

determining an environmental consequence factor of the pipeline leak in the hydrocarbon reservoir;

determining a severity factor of the pipeline leak in the hydrocarbon reservoir based on at least one of the amount of ECO2, the probability of failure, or the environmental consequence factor;

outputting the severity factor in a user interface; and

shutting down a production operation of the hydrocarbon reservoir based on the severity factor.

8. The device of claim 7 , wherein the amount of ECO2 is determined based on at least one of a fluid density or a fluid viscosity of oil in the hydrocarbon reservoir.

9. The device of claim 7 , wherein the amount of ECO2 is determined based on distill information of oil in the hydrocarbon reservoir.

10. The device of claim 7 , wherein the environmental consequence factor is determined based on at least one of soil type data, water ways data, terrain data, or wildlife data of the hydrocarbon reservoir.

11. The device of claim 7 , wherein the severity factor is further determined based on a weight of the amount of ECO2, a weight of the probability of failure, or a weight of the environmental consequence factor.

12. The device of claim 7 , the operations further comprising: adjusting a monitoring frequency of the hydrocarbon reservoir based on the severity factor.

13. A non-transitory computer-readable medium storing instructions which, when executed, cause a computing device to perform operations comprising:

determining an amount of Equivalent Carbon Dioxide (ECO2) associated with a pipeline leak in a hydrocarbon reservoir;

determining a probability of failure of the pipeline leak in the hydrocarbon reservoir;

determining an environmental consequence factor of the pipeline leak in the hydrocarbon reservoir;

determining a severity factor of the pipeline leak in the hydrocarbon reservoir based on at least one of the amount of ECO2, the probability of failure, or the environmental consequence factor;

outputting the severity factor in a user interface; and

shutting down a production operation of the hydrocarbon reservoir based on the severity factor.

14. The non-transitory computer-readable medium of claim 13 , wherein the amount of ECO2 is determined based on at least one of a fluid density or a fluid viscosity of oil in the hydrocarbon reservoir.

15. The non-transitory computer-readable medium of claim 13 , wherein the amount of ECO2 is determined based on distill information of oil in the hydrocarbon reservoir.

16. The non-transitory computer-readable medium of claim 13 , wherein the environmental consequence factor is determined based on at least one of soil type data, water ways data, terrain data, or wildlife data of the hydrocarbon reservoir.

17. The non-transitory computer-readable medium of claim 13 , wherein the severity factor is further determined based on a weight of the amount of ECO2, a weight of the probability of failure, or a weight of the environmental consequence factor.

18. The non-transitory computer-readable medium of claim 13 , the operations further comprising: adjusting a monitoring frequency of the hydrocarbon reservoir based on the severity factor.

Assignments (1)

Continuity (1)

References Cited (24)