SYSTEMS, METHODS, AND APPARATUS FOR DETERMINING PIPELINE ASSET INTEGRITY

• US 20120203591A1
• Filed: 02/08/2011
• Published: 08/09/2012
• Est. Priority Date: 02/08/2011
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Andoji, Kavitha, Mohan, Vinoth Kumar, Garg, Ashish
• Application Number:
  US13/023,216
• Publication Number:
  US 20120203591A1
• Time in Patent Office: Days
• US Class Current: 705/7.28
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities

Abstract

Certain embodiments of the invention may include systems, methods, and apparatus for determining pipeline asset integrity. According to an example embodiment of the invention, a computer executable method is provided for determining integrity of assets. The method can include identifying one or more risk factor conditions associated with one or more assets; evaluating the one or more risk factor conditions associated with the one or more assets; assigning non-linear weighted values to the one or more risk factor conditions based at least in part on evaluating the one or more risk factor conditions; determining one or more risk scores for the one or more assets based at least in part on the non-linear weighted values; and outputting the one or more risk scores.

Claims

1. A computer executable method for determining integrity of assets comprising:

identifying one or more risk factor conditions associated with one or more assets;

evaluating the one or more risk factor conditions associated with the one or more assets;

assigning non-linear weighted values to the one or more risk factor conditions based at least in part on evaluating the one or more risk factor conditions;

determining one or more risk scores for the one or more assets based at least in part on the non-linear weighted values; and

outputting the one or more risk scores.

2. The method of claim 1, wherein the one or more risk factor conditions comprise one or more of:

risk of failure, failure consequence risk, failure due to environmental factors, fault history, criticality, inspection status, age, material, maximum operating pressure, soil pH, weather conditions, leaks, corrosion rate, rupture rate, reliability, lifetime, durability, known conditions, environment, test results or adverse affects associated with outage.

3. The method of claim 1, wherein evaluating the one or more risk factor conditions comprises receiving pipeline asset information and risk factor information from a geographic information system (GIS) database.

4. The method of claim 1 further comprising prioritizing resources based at least in part on determining the one or more risk scores.

5. The method of claim 1, wherein outputting the one or more risk scores comprises sorting the assets by a sum of the non-linear weighted values associated with the one or more risk factor conditions.

6. The method of claim 1, wherein a higher risk score corresponds to one or more of a greater risk of failure or a greater potential consequence.

7. The method of claim 1, further comprising predicting a lifetime of the one or more assets based at least in part on the one or more risk factor conditions.

8. A system for determining integrity of pipeline assets comprising:

a geographic information system (GIS) database (118);

a display (120);

at least one processor (106) in communication with the display (120) and the GIS database (118), and configured for;

identifying one or more risk factor conditions associated with one or more pipeline assets;

evaluating the one or more risk factor conditions associated with the one or more pipeline assets;

assigning non-linear weighted values to the one or more risk factor conditions based at least in part on evaluating the one or more risk factor conditions;

determining one or more risk scores for the one or more pipeline assets based at least in part on the non-linear weighted values; and

outputting the one or more risk scores to the display (120).

9. The system of claim 8, wherein the one or more risk factor conditions comprise one or more of:

risk of failure, failure consequence risk, failure due to environmental factors, fault history, criticality, inspection status, age, material, maximum operating pressure, soil pH, weather conditions, leaks, corrosion rate, rupture rate, reliability, lifetime, durability, known conditions, environment, test results or adverse affects associated with outage.

10. The system of claim 8, wherein evaluating the one or more risk factor conditions comprises receiving pipeline asset information and risk factor information from a geographic information system (GIS) database.

11. The system of claim 8, further comprising prioritizing resources based at least in part on determining the one or more risk scores.

12. The system of claim 8, wherein outputting the one or more risk scores comprises sorting the pipeline assets by a sum of the non-linear weighted values associated with the one or more risk factor conditions.

13. The system of claim 8, wherein a higher risk score corresponds to one or more of a greater risk of failure or a greater potential consequence.

14. The system of claim 8, wherein the at least one processor (106) is further configured for predicting a lifetime of the one or more pipeline assets based at least in part on the one or more risk conditions.

15. An apparatus for determining integrity of pipeline assets comprising:

at least one processor (106) in communication with a geographic information system (GIS) database (118), and configured for;

identifying one or more risk factor conditions associated with one or more pipeline assets;

evaluating the one or more risk factor conditions associated with the one or more pipeline assets;

assigning non-linear weighted values to the one or more risk factor conditions based at least in part on evaluating the one or more risk factor conditions;

determining one or more risk scores for the one or more pipeline assets based at least in part on the non-linear weighted values; and

outputting the one or more risk scores to the display (120).

16. The apparatus of claim 15, wherein the one or more risk factor conditions comprise one or more of:

risk of failure, failure consequence risk, failure due to environmental factors, fault history, criticality, inspection status, age, material, maximum operating pressure, soil pH, weather conditions, leaks, corrosion rate, rupture rate, reliability, lifetime, durability, known conditions, environment, test results or adverse affects associated with outage.

17. The apparatus of claim 15, wherein evaluating the one or more risk factor conditions comprises receiving pipeline asset information and risk factor information from a geographic information system (GIS) database.

18. The apparatus of claim 15, further comprising prioritizing resources based at least in part on determining the one or more risk scores.

19. The apparatus of claim 15, wherein outputting the one or more risk scores comprises sorting the pipeline assets by a sum of the non-linear weighted values associated with the one or more risk factor conditions.

20. The apparatus of claim 15, wherein the at least one processor (106) is further configured for predicting a lifetime of the one or more pipeline assets based at least in part on the one or more risk conditions.