Mean strain ratio analysis method and system for detecting drill bit failure and signaling surface operator

• US 6,817,425 B2
• Filed: 10/26/2001
• Issued: 11/16/2004
• Est. Priority Date: 11/07/2000
• Status: Expired due to Term

• Current Assignee: Halliburton Energy Services Incorporated (Halliburton Company)
• Original Assignee: Halliburton Energy Services Incorporated (Halliburton Company)
• Inventors: Schultz, Roger L., Osborne, Andrew J. Jr., De Jesus, Orlando
• Primary Examiner(s): DANG, HOANG C
• Application Number:
  US10/035,350
• Publication Number:
  US 20020139581A1
• Time in Patent Office: 1,117 Days
• Field of Search: 175/40, 175/39
• US Class Current: 175/39
• CPC Class Codes: E21B 12/02 Wear indicators
• CPC Class Codes: E21B 2200/22 Fuzzy logic, artificial intelligence, neural networks or the like
• CPC Class Codes: E21B 41/0085 Adaptations of electric power generating means for use in boreholes
• CPC Class Codes: E21B 44/00 Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
• CPC Class Codes: E21B 47/18 through the well fluid , e.g. mud pressure pulse telemetry

Abstract

An apparatus and method for monitoring and reporting downhole bit failure. Sensors are located on a sub assembly (which is separate from the drill bit itself but located above it on the drill string). Strain measurements are taken from the sensors to detect changes in induced bending and axial stresses which are related to a roller cone bearing failure. As a cone begins to fail, the average share of the total load on the bit that the failing cone can support changes, which causes a change in the bending strain induced by the eccentric loading of the cone.

Claims

1. A system for predicting roller cone drill bit failure, comprising:

a drill string having a drill bit;

a plurality of sensors connected to collect strain data from said drill bit; and

circuitry for calculating relative changes in strain between said sensors;

wherein said stain data is used by said circuitry to calculate relative changes in strain between said sensors to thereby predict bit failure.

2. The system of claim 1, wherein said relative changes in strain between said sensors is used to determine bit condition.

3. A system for predicting drill bit failure, comprising:

a drill string having a down hole sub assembly, said sub assembly including a plurality of sensors which measure strain;

circuitry for calculating relative average stain among said sensors; and

a drill bit removably attached to said sub assembly;

wherein strain data from said sensors is used by said circuitry to calculate the relative average strain among said sensors.

4. The system of claim 3, wherein said relative average strain among said sensors is used to estimate the drill bit condition.

5. A system for detecting roller cone drill bit failure, comprising:

a plurality of sensors on the lower end of a drill string connected to collect data relating to a bending moment of said lower end; and

circuitry for calculating changes in average bending moment of said lower end;

wherein said data is used by said circuitry to calculate changes in average bending moment.

6. The system of claim 5, wherein said changes in average bending moment are used to ascertain drill bit condition.

7. A system for detecting roller cone drill bit failure, comprising:

a plurality of sensors on the lower end of a drill string separate from the dill bit, each of said sensors connected to detect relative change in axial strain at a particular location;

wherein bit failure is indicated when said relative change in axial strain exceeds a predetermined test.

8. A system for detecting roller cone drill bit failure, comprising:

a plurality of sensors on the lower end of a drill string positioned on a sub assembly located above said roller cone drill bit, each of said sensors connected to detect relative change in axial strain at a particular location;

wherein bit failure is indicated when said relative change in axial strain exceeds a predetermined test.

9. A system for detecting drill bit failure, comprising:

a plurality of sensors on the lower end of a drill string connected to collect strain data from said lower end, said lower end having a drill bit with one or more cones; and

circuitry for calculating average load supported by each of said cones;

wherein said strain data is used by said circuitry to calculate the average load supported by each of said cones.

10. The system of claim 9, wherein said data is used to ascertain bit condition during drilling.

11. A method for detecting drill bit failure, comprising:

monitoring at least one bending strain in a bottom hole assembly, wherein said bending strain is measured by sensors located on a sub assembly located above the drill bit on the drill string; and

dynamically assessing degradation of said bottom hole assembly in dependence on said bending strain.

12. A method for drilling, comprising:

monitoring at least one bending strain in a bottom hole assembly which includes a drill bit, wherein said bending strain is measured by sensors located on a sub assembly located above the drill bit on the drill string; and

dynamically assessing and signalling degradation of said bottom hole assembly in dependence on said bending strain.

13. The method of claim 12, further comprising the step of halting drilling in dependence on said step of dynamically assessing.

14. A method for drilling, comprising:

monitoring differential cone loading in a roller cone drill bit; and

dynamically assessing and signalling degradation of said drill bit in dependence on changes in said differential cone loading.

15. The method of claim 14, further comprising the step of halting drilling in dependence on said step of dynamically assessing.

16. A method of predicting drill bit failure, comprising the steps of:

taking multiple strain measurements with different sensors from an instrumented sub assembly which is separate from the drill bit; and

deriving information regarding bit wear from relations between said respective measurements from said different sensors.

17. A method of predicting drill bit failure, comprising the steps of:

taking multiple strain measurements with different sensors from an instrumented sub assembly, wherein said instrumented sub assembly does not electrically communicate with said drill bit; and

deriving information bit wear from relations between said respective measurements from said different sensors.

18. A method of predicting drill bit failure, comprising the steps of:

analyzing the relative strain induced on different parts of a bottom hole assembly during drilling;

predicting drill bit failure based on said relative strain.

19. The method of claim 18, wherein said bottom hole assembly comprises a drill bit and an instrumented sub assembly.

20. A method of predicting drill bit failure, comprising the steps of:

collecting strain data from a plurality of gauges connected to measure strain induced on a drill bit during drilling;

computing a ratio of average strain at each said gauge relative to another said gauge;

halting drilling when said ratio exceeds a test.