Model for estimating drilling tool wear

Patent metadata

Field	Value
Publication number	US-2017004235-A1
Application number	US-201515110120-A
Country	US
Kind code	A1
Filing date	Feb 2, 2015
Priority date	Feb 7, 2014
Publication date	Jan 5, 2017
Grant date	—

Abstract

A method for estimating the wear of a drilling tool is disclosed. The method includes selecting a first incremental distance along a length of a formation. The method further includes determining a first characteristic of the formation along the first incremental distance. The method further includes deriving a first fractional wear factor, y 1 , for the drilling tool based on the first characteristic of the formation and a first operating condition of the cutting element. The method further includes calculating a first wear function, W f1 , the cutting element based on the first fractional wear factor and estimating an amount of wear of the cutting element during a drilling operation based on the first wear function.

First claim

What is claimed is:

1 . A method for estimating wear of a cutting element on a drilling tool, the method comprising:
selecting a first incremental distance along a length of a formation; determining a first characteristic of the formation along the first incremental distance; deriving a first fractional wear factor, y 1 , for a cutting element on a drilling tool based on the first characteristic of the formation and a first operating condition of the cutting element; calculating a first wear function, W f1 , of the cutting element based on the first fractional wear factor; and estimating an amount of wear of the cutting element during a drilling operation based on the first wear function.

2 . The method of claim 1 , further comprising:
selecting a second incremental distance along the length of the formation; determining a second characteristic of the formation along the second incremental distance; deriving a second fractional wear factor, y 2 , for the cutting element based on the second characteristic of the formation and a second operating condition of the cutting element; calculating a second wear function, W f2 , of the cutting element based on the second fractional wear factor; and estimating the amount of wear of the cutting element during the drilling operation based on the second wear function.

3 . The method of claim 2 , further comprising predicting a cumulative wear volume of the cutting element over the length of the formation drilled by the drilling tool during the drilling operation based on the first wear function and the second wear function.

4 . The method of claim 3 , further comprising selecting the drilling tool based on the cumulative wear volume.

5 . The method of claim 1 , wherein the drilling tool comprises at least one of a drill bit and a hole enlarging tool.

6 . The method of claim 1 , wherein the first characteristic of the formation is determined with at least one of gamma ray logging data, sonic logging data, density logging data, and porosity logging data.

7 . The method of claim 1 , further comprising calculating a bit dull grade for the drilling tool based on the first fractional wear factor.

8 . The method of claim 1 , further comprising estimating a rate of penetration of the drilling tool during the drilling operation based on the first wear function.

9 . A non-transitory machine-readable medium comprising instructions stored therein, the instructions executable by one or more processors to facilitate performing a method for estimating wear of a cutting element on a drilling tool, the method comprising:
selecting a first incremental distance along a length of a formation; determining a first characteristic of the formation along the first incremental distance; deriving a first fractional wear factor, y 1 , for a cutting element on a drilling tool based on the first characteristic of the formation and a first operating condition of the cutting element; calculating a first wear function, W f1 , of the cutting element based on the first fractional wear factor; and estimating an amount of wear of the cutting element during a drilling operation based on the first wear function.

10 . The non-transitory machine-readable medium of claim 9 , the method further comprising:
selecting a second incremental distance along the length of the formation; determining a second characteristic of the formation along the second incremental distance; deriving a second fractional wear factor, y 2 , for the cutting element based on the second characteristic of the formation and a second operating condition of the cutting element; calculating a second wear function, W f2 , of the cutting element based on the second fractional wear factor; and estimating the amount of wear of the cutting element during the drilling operation based on the second wear function.

11 . The non-transitory machine-readable medium of claim 10 , the method further comprising predicting a cumulative wear volume of the cutting element over the length of the formation drilled by the drilling tool during the drilling operation based on the first wear function and the second wear function.

12 . The non-transitory machine-readable medium of claim 11 , the method further comprising selecting the drilling tool based on the cumulative wear volume.

13 . The non-transitory machine-readable medium of claim 9 , wherein the drilling tool comprises at least one of a drill bit and a hole enlarging tool.

14 . The non-transitory machine-readable medium of claim 9 , wherein the first characteristic of the formation is determined with at least one of gamma ray logging data, sonic logging data, density logging data, and porosity logging data.

15 . The non-transitory machine-readable medium of claim 9 , the method further comprising calculating a bit dull grade for the drilling tool based on the first fractional wear factor.

16 . The non-transitory machine-readable medium of claim 9 , the method further comprising estimating a rate of penetration of the drilling tool during the drilling operation based on the first wear function.

17 . A drilling system, comprising:
a drill string; and a drilling tool coupled to the drill string, the drilling tool comprising:
a cylindrical body;
a plurality of blades on the cylindrical body; and
a plurality of cutting elements on one of the plurality of blades;
wherein an amount of wear of at least one of the plurality of cutting elements during a drilling operation is estimated by:
selecting a first incremental distance along a length of a formation;
determining a first characteristic of the formation along the first incremental distance;
deriving a first fractional wear factor, y 1 , for the at least one cutting element based on the first characteristic of the formation and a first operating condition of the at least one cutting element;
calculating a first wear function, W f1 , of the at least one cutting element based on the first fractional wear factor; and
estimating the amount of wear of the at least one cutting element during the drilling operation based on the first wear function.

18 . The drilling system of claim 17 , wherein the cutting element wear is estimated by a method further comprising:
selecting a second incremental distance along the length of the formation; determining a second characteristic of the formation along the second incremental distance; deriving a second fractional wear factor, y 2 , for the at least one cutting element based on the second characteristic of the formation and a second operating condition of the at least one cutting element; calculating a second wear function, W f2 , of the at least one cutting element based on the second fractional wear factor; and estimating the amount of wear of the at least one cutting element during the drilling operation based on the second wear function.

19 . The drilling system of claim 18 , wherein the cutting element wear is further estimated by predicting a cumulative wear volume of the at least one cutting element over the length of the formation drilled by the drilling tool during the drilling operation based on the first wear function and the second wear function.

20 . The drilling system of claim 17 , wherein the first characteristic of the formation is determined with at least one of gamma ray logging data, sonic logging data, density logging data, and porosity logging data.

Assignees

• Halliburton Energy Services Inc

Inventors

• Samuel Robello
• Marland Chris Neil
• Liu Zhengchun
• Li Dong

Classifications

• G06F17/11

  for solving equations {, e.g. nonlinear equations, general mathematical optimization problems (optimization specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title

• E21B12/02 Primary

  Wear indicators · CPC title

• E21B7/28

  Enlarging drilled holes, e.g. by counterboring · CPC title

• E21B44/00

  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 title

• G06F30/20 Primary

  Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title