Method and apparatus for collecting drill bit performance data
View Patent ↗Drill bits and methods for sampling sensor data associated with a state of a drill bit are disclosed. A drill bit for drilling a subterranean formation comprises a bit configured for receiving a data analysis module. The data analysis module comprises at least one sensor, a memory, and a processor. The processor is configured for executing computer instructions to filter information derived from sensor data in the drill bit to develop a piecewise polynomial curve of the sensor data. Filtering information derived from the sensor data comprises approximating a first derivative of a sensor data waveform, calculating a plurality of zeros for the first derivative of the sensor data waveform, and fitting a cubic polynomial between adjacent zeros calculated from the first derivative of the sensor data waveform resulting in a piecewise cubic polynomial.
1. A drill bit for drilling a subterranean formation, comprising:
a bit bearing at least one cutting element and adapted for coupling to a drill string;
a chamber formed within a portion of the bit and configured for maintaining a pressure substantially near a surface atmospheric pressure while drilling the subterranean formation;
a first set of accelerometers disposed at a first location in the bit and comprising a first radial accelerometer and a second radial accelerometer;
a second set of accelerometers disposed at a second location in the bit and comprising a third radial accelerometer and a fourth radial accelerometer; and
wherein the first, second, third, and fourth radial accelerometers are configured, positioned and oriented for sensing radial acceleration effects on the drill bit.
2. The drill bit for drilling a subterranean formation of claim 1 , wherein the first radial accelerometer and the third radial accelerometer are configured for sensing accelerations of up to a magnitude and the second radial accelerometer and the fourth radial accelerometer are configured for sensing accelerations of up to a relatively smaller magnitude.
3. The drill bit for drilling a subterranean formation of claim 2 , wherein the accelerations of up to a magnitude are accelerations up to 30 g and the accelerations of up to a relatively smaller magnitude are up to 5 g.
4. The drill bit for drilling a subterranean formation of claim 1 , wherein the first set of accelerometers further comprises a first accelerometer configured, positioned and oriented for sensing tangential accelerations and the second set of accelerometers further comprises a second accelerometer configured, positioned and oriented for sensing tangential accelerations.
5. The drill bit for drilling a subterranean formation of claim 1 , wherein the first set of accelerometers further comprises a first accelerometer configured, positioned and oriented for sensing axial accelerations and the second set of accelerometers further comprises a second accelerometer configured, positioned and oriented for sensing axial accelerations.
6. The drill bit for drilling a subterranean formation of claim 1 , further comprising at least one magnetometer for sensing magnetic fields acting on the drill bit and further configured to be recalibrated under control of a processor operably coupled to the at least one magnetometer.
7. An apparatus for drilling a subterranean formation, comprising:
a drill bit bearing at least one cutting element and adapted for coupling to a drill string; and
a data analysis module disposed in the drill bit and comprising:
a plurality of sensors for sensing at least one physical parameter, wherein the plurality of sensors comprises at least one magnetometer for sensing magnetic fields acting on the drill bit;
a memory for storing information comprising computer instructions configured for recalibrating the at least one magnetometer, and sensor data; and
a processor for executing the computer instructions.
8. The apparatus of claim 7 , wherein recalibrating the at least one magnetometer is performed in association with sampling a set of data from the at least one magnetometer.
9. The apparatus of claim 7 , wherein the plurality of sensors includes:
a first set of accelerometers disposed at a first location in the drill bit and comprising a first radial accelerometer and a second radial accelerometer; and
a second set of accelerometers disposed at a second location in the drill bit and comprising a third radial accelerometer and a fourth radial accelerometer;
wherein the first, second, third, and fourth radial accelerometers are configured, positioned and oriented for sensing radial acceleration effects on the drill bit.
10. The apparatus of claim 9 , wherein the first radial accelerometer and the third radial accelerometer are configured for sensing accelerations of up to a magnitude and the second radial accelerometer and the fourth radial accelerometer are configured for sensing accelerations of up to a relatively smaller magnitude.
11. The apparatus of claim 9 , wherein the accelerations of up to a magnitude are up to 30 g and the accelerations of up to a relatively smaller magnitude are up to 5 g.
12. The apparatus of claim 9 , wherein the first set of accelerometers further comprises a first accelerometer configured, positioned and oriented for measuring tangential accelerations and the second set of accelerometers further comprises a second accelerometer configured, positioned and oriented for measuring tangential accelerations.
13. The apparatus of claim 9 , wherein the first set of accelerometers further comprises a first accelerometer configured, positioned and oriented for measuring axial accelerations and the second set of accelerometers further comprises a second accelerometer configured, positioned and oriented for measuring axial accelerations.
14. An apparatus for drilling a subterranean formation, comprising:
a drill bit bearing at least one cutting element and adapted for coupling to a drill string; and
a data analysis module disposed in the drill bit and comprising:
a plurality of sensors for sensing at least one physical parameter, wherein the plurality of sensors comprises at least one magnetometer for sensing magnetic fields acting on the drill bit;
a memory for storing information comprising computer instructions configured for recalibrating the at least one magnetometer, and sensor data;
a processor configured for executing the computer instructions; and
a power source for supplying a first voltage for at least one of the plurality of sensors and supplying a second voltage for the processor.
15. The apparatus of claim 14 , wherein the power source comprises at least two batteries connected in series to develop the first voltage and the second voltage.
16. The apparatus of claim 14 , wherein the power source comprises:
at least one battery; and
a Direct Current to Direct Current (DC-DC) converter operably coupled to the at least one battery and configured to develop the first voltage and the second voltage.
17. The apparatus of claim 14 , wherein the power source is configured to supply at least one additional voltage different from the first voltage and the second voltage.
18. A method, comprising:
collecting sensor data at a sampling frequency by sampling at least one sensor disposed in a drill bit, wherein the at least one sensor is responsive to at least one physical parameter associated with a drill bit state; and
filtering the collected sensor data to develop piecewise polynomial curves of the sensor data, wherein the filtering comprises:
approximating a first derivative of a sensor data waveform;
calculating a plurality of zeros from the first derivative of the sensor data waveform; and
fitting a cubic polynomial between adjacent zeros calculated from the first derivative of the sensor data waveform resulting in a piecewise cubic polynomial.
19. The method of claim 18 , wherein filtering the sensor data comprises filtering sensor data from at least one magnetometer.
20. The method of claim 18 , wherein the plurality of zeros comprises a plurality of local minima and a plurality of local maxima of the first derivative of the sensor data waveform.
21. The method of claim 18 , wherein approximating a first derivative of a sensor data waveform comprises approximating a first derivative of a sensor data waveform by a numerical differentiation method.
22. The method of claim 18 , wherein filtering comprises filtering out at least some high-frequency components of the sensor data.
23. The method of claim 18 , wherein the piecewise cubic polynomial is differentiable and continuous throughout its domain.
24. An apparatus for drilling a subterranean formation, comprising:
a drill bit bearing at least one cutting element and adapted for coupling to a drill string; and
a data analysis module disposed in the drill bit and comprising:
at least one sensor configured for developing sensor data by sensing at least one physical parameter;
a memory; and
a processor operably coupled to the memory and the at least one sensor, the processor configured for executing computer instructions, wherein the computer instructions are configured for:
filtering information derived from the sensor data in the drill bit to develop a set of piecewise polynomial curves of the sensor data, wherein the filtering comprises:
approximating a first derivative of a sensor data waveform;
calculating a plurality of zeros from the first derivative of the sensor data waveform; and
fitting a cubic polynomial between adjacent zeros calculated from the first derivative of the sensor data waveform resulting in a piecewise cubic polynomial.
25. The apparatus of claim 24 , wherein filtering information derived from the sensor data comprises filtering sensor data from at least one magnetometer.
26. The method of claim 24 , wherein the plurality of zeros comprises a plurality of local minima and a plurality of local maxima of the first derivative of the sensor data waveform.
27. The method of claim 24 , wherein approximating a first derivative of a sensor data waveform comprises approximating a first derivative of a sensor data waveform by a numerical differentiation method.
28. The method of claim 24 , wherein filtering comprises filtering out an AC component of the sensor data.
29. The method of claim 24 , wherein the piecewise cubic polynomial is differentiable and continuous throughout its domain.