METHOD OF ESTIMATING RISKS CAUSED BY ACCIDENTAL DROPPED OBJECT LOADS TO SUBSEA PIPELINES OR OTHER SUBSEA ASSETS ASSOCIATED WITH OFFSHORE OIL & GAS AND MARINE OPERATIONS

• US 20150154522A1
• Filed: 09/02/2014
• Published: 06/04/2015
• Est. Priority Date: 12/04/2013
• Status: Abandoned Application

• Current Assignee: Global Maritime AS
• Original Assignee: Global Maritime AS
• Inventors: MIRCEAN, Cristian, KARUNANITHI, Srinivasan, HYDLE, Helge
• Application Number:
  US14/474,825
• Publication Number:
  US 20150154522A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 50/08 Construction

Abstract

A method of estimating risk of at least one accidentally dropped object load from at least one crane on a platform or vessel includes providing or generating a schematic representation of a sea level area; identifying a drop area for accidental drops of the at least one accidentally dropped object load from the crane based on image processing of the schematic representation of the sea level area; estimating probability density of risk of accidentally dropped object loads based on a multitude of drop points within the drop area; and representing the sea level area, the subsea area, and estimating probability of risk of accidentally dropped object loads using data representations in the form of at least one of matrix-type data, raster graphic image, or dot matrix data for location, estimated risk values and other statistics.

Claims

1. A method of estimating risk of at least one accidentally dropped object load from at least one crane on a platform or vessel, comprising:

providing or generating a schematic representation of a sea level area comprising at least a layout of the platform or vessel and a layout of a maximum and minimum crane handling radius of the at least one crane;

identifying a drop area for accidental drops of the at least one accidentally dropped object load from the crane based on image processing of the schematic representation of the sea level area;

estimating probability density of risk of accidentally dropped object loads based on a multitude of drop points within the drop area for the at least one accidentally dropped object load or at least one object category; and

representing the sea level area, the subsea area, and estimating probability of risk of accidentally dropped object loads using data representations in the form of at least one of matrix-type data, raster graphic image, or dot matrix data for location, estimated risk values and other statistics.

2. Method according to claim 1, further comprising

representing a probability density of risk of the at least one accidentally dropped object load as contour isolines, isarithms or isopleths on the schematic representation of the sea level area.

3. Method according to claim 1, further comprising

estimating a hit probability function based on two-dimensional normal distribution for at least one accidentally dropped object load.

4. Method according to claim 1, further comprising

providing a schematic representation of a layout of a subsea area comprising the subsea pipelines and other subsea assets, and extracting from said schematic representation of the layout of the subsea area at least segments and sub-segments of the subsea pipelines and the subsea assets generating a mask of said subsea pipelines and the subsea assets.

5. Method according to claim 4, further comprising

extracting the area where an accidental drop may affect respective segments and sub-segments of pipelines and other subsea assets.

6. Method according to claim 4, further comprising

estimating risk of dropped objects or a hit probability for each segment of subsea asset, pipeline, and other subsea assets.

7. Method according to claim 6, further comprising

using interpolation to improve accuracy for at least one estimate of risk of dropped objects or a hit probability.

8. Method according to claim 4, further comprising:

representing a probability density of risk of the at least one accidentally dropped object load as contour isolines, isarithms or isopleths on the schematic representation of the sea level area; and

representing the segments and sub-segments of pipelines and other subsea assets, or area where an accidental drop hit may affect respective segments and sub-segments of pipelines as contours together with the contour isolines, isarithms or isopleths of the probability density of risk.

9. Method according to claim 1, further comprising

estimating a probability density of risks of the at least one accidentally dropped object load for at least a part of a safe zone of the subsea area based on the multitude of dropped objects.

10. Method according to claim 1, further comprising:

representing a participation of a lift or combination of lifts by the at least one crane as a risk probability density for at least a part of a safe-zone of the subsea area by contour isolines, isarithms, or isopleths providing quantitative iso-values of risk caused by the at least one accidental dropped object load to the subsea pipeline or subsea assets.

11. Method according to claim 1, further comprising:

representing a participation of a lift category or combination of lift categories of lifts of an object load by the at least one crane by contour isolines, isarithms, or isopleths providing quantitative iso-values of risk caused by the at least one accidental dropped object load to the subsea pipeline or subsea assets.

12. Method according to claim 1, further comprising:

defining limitations of the supply vessel position or optimizations of such position to reduce the risk of accidental dropped objects on subsea assets.

13. Method according to claim 1, further comprising:

optimizing or defining limitations of a crane handling area based on living area or restricted zones on the platform.

14. Method according to claim 1, further comprising:

optimizing or defining limitations based on a crane mobility limitations as an angle.

15. Method according to claim 1, further comprising:

calculating a hit probability of each sub-section of the subsea pipeline or subsea asset from matrix-type data, raster graphic image, or dot matrix data structure.

16. Method according to claim 1, further comprising:

calculating a hit probability of the subsea pipeline or subsea asset from matrix-type data, raster graphic image, or dot matrix data structure.

17. Method according to claim 1, further comprising:

calculating at least one of a hit frequency vs. impact energy from values extracted from matrix-type data, raster graphic image, or dot matrix data structure.

18. Method according to claim 1, further comprising:

calculating at least one of a damage classification or accumulated frequency vs. impact energy from values extracted from matrix-type data, raster graphic image, or dot matrix data structure.

19. Method according to claim 1, further comprising:

calculating a safe distance from the subsea pipelines and subsea assets for lowering a BOP or estimating risk of dropped objects while performing heavy lifts of at least an object load by the at least one crane.

20. A risk management tool for estimating accidental dropped object loads on subsea pipelines and other subsea assets, using the method according to claim 1.

21. A decision support method for estimating accidental dropped object loads on subsea pipelines and other subsea assets, using the method according to claim 1.

22. A risk management planning;

optimizing lifts;

or other marine operations based on embodiment of the present invention, using the method according to claim 1.

23. A business consultancy method, or business management system, providing mitigation measures or risk reduction consultancy using the method according to claim 1.