BOTTOM HOLE ASSEMBLY CONFIGURATION MANAGEMENT

• US 20100042327A1
• Filed: 08/12/2009
• Published: 02/18/2010
• Est. Priority Date: 08/13/2008
• Status: Abandoned Application

• Current Assignee: Baker Hughes Incorporated (Baker Hughes Company)
• Original Assignee: Baker Hughes Incorporated (Baker Hughes Company)
• Inventors: Baumann, Joerg, Lehr, Joerg, Hummes, Olof, Garvey, Dustin
• Application Number:
  US12/539,965
• Publication Number:
  US 20100042327A1
• Time in Patent Office: Days
• US Class Current: 702/11
• CPC Class Codes: E21B 2200/22 Fuzzy logic, artificial intelligence, neural networks or the like
• CPC Class Codes: E21B 49/003 by analysing drilling variables or conditions E21B49/005 takes precedence; systems specially adapted for monitoring a plurality of drilling variables or conditions E21B44/00

Abstract

A method for configuring a bottom hole assembly from a plurality of formation evaluation tools, includes: creating a health history for each tool of the plurality of formation evaluation tools; ranking the resulting plurality of health histories according to health; and selecting at least one tool for the bottom hole assembly according to a ranking for the at least one tool. A system and a computer program product are also provided.

Claims

1. A method for configuring a bottom hole assembly from a plurality of formation evaluation tools, the method comprising:

creating a health history for each tool of the plurality of formation evaluation tools;

ranking the resulting plurality of health histories according to health; and

selecting at least one tool for the bottom hole assembly according to a ranking for the at least one tool.

2. The method as in claim 1, further comprising:

assembling the bottom hole assembly.

3. The method as in claim 1, further comprising updating a health history with use information for each tool used in the bottom hole assembly for formation evaluation.

4. The method as in claim 3, wherein the use information comprises at least one of memory data, an operational profile, a maintenance finding, a design change, a theoretical analysis, exemplary memory data, and test data.

5. The method as in claim 3, further comprising:

updating the health history during formation evaluation.

6. The method as in claim 1, wherein creating a health history comprises:

receiving observation data from at least one sensor associated with the tool; and

,

from the observation data, at least one of;

identifying whether the tool is operating in a normal or degraded mode, the degraded mode being indicative of a fault in the tool;

calculating a lifetime value for the tool; and

determining a health history for the tool.

7. The method as in claim 1, wherein the selecting further comprises selecting the at least one tool according to a survey plan.

8. A system for configuring a bottom hole assembly from a plurality of formation evaluation tools, the system comprising:

an engine for creating a health history for each tool of the plurality of formation evaluation tools, the engine comprising at least one algorithm for creating a health history for each tool of the plurality of formation evaluation tools;

ranking the resulting plurality of health histories according to health; and

selecting at least one tool for the bottom hole assembly according to a ranking for the at least one tool.

9. The system as in claim 8, wherein the engine comprises machine executable media stored on machine readable media.

10. The system as in claim 8, wherein the engine further comprises at least one input for receiving at least one of use information and observation data.

11. The system as in claim 10, wherein the input is adapted for receiving during formation evaluation.

12. The system as in claim 8, further comprising selecting the at least one tool according to a survey plan.

13. The system as in claim 8, further comprising at least one sensor equipped for providing at least one of observation data and use information to the engine.

14. The system as in claim 8, further comprising a manual input for providing at least one of observation data and use information to the engine.

15. The system as in claim 8, further comprising at least one of:

a sensor, a processor, a memory, a detector, a diagnoser, and a prognoser.

16. The system as in claim 15, wherein:

the at least one sensor is associated with the tool;

the memory is in operable communication with the at least one sensor, the memory including a database for storing observation data generated by the sensor;

the processor is in operable communication with the memory, for receiving the observation data, and the processor which comprises;

the detector receptive to the observation data and capable of identifying whether the tool is operating in a normal or degraded mode, the degraded mode being indicative of a fault in the tool;

the diagnoser responsive to the observation data to identify a type of fault from at least one symptom pattern; and

the prognoser in operable communication with the at least one sensor, the detector and the diagnoser, the prognoser capable of calculating a lifetime value of the tool based on information from at least one of the sensor, the detector and the diagnoser.

17. A computer program product stored on machine readable media for configuring a bottom hole assembly from a plurality of formation evaluation tools, by executing machine implemented instructions, the instructions for:

creating a health history for each tool of the plurality of formation evaluation tools;

ranking the resulting plurality of health histories according to health; and

selecting at least one tool for the bottom hole assembly according to a ranking for the at least one tool.

18. The computer program product as in claim 17, further comprising instructions for:

receiving observation data generated by at least one sensor associated with the downhole tool;

identifying whether the tool is operating in a normal or degraded mode, the degraded mode being indicative of a fault in the downhole tool; and

responsive to an identification of the degraded mode, identifying a type of fault from at least one symptom pattern, and calculating a lifetime value for the tool based on a comparison of the observation data with exemplar degradation data associated with the type of fault.

19. The computer program product of claim 18, wherein the instructions further comprise instructions for:

providing an integrated survey plan for formation evaluation; and

updating the integrated survey plan after each formation evaluation survey.