Measuring micro stalls and stick slips in mud motors using fiber optic sensors

• US 10,364,668 B2
• Filed: 06/27/2014
• Issued: 07/30/2019
• Est. Priority Date: 06/27/2014
• Status: Active Grant

• Current Assignee: Halliburton Energy Services Incorporated (Halliburton Company)
• Original Assignee: Halliburton Energy Services Incorporated (Halliburton Company)
• Inventors: Park, Steven, Purohit, Ankit, Gajji, Bhargav
• Primary Examiner(s): Khuu, Hien D
• Application Number:
  US15/128,646
• Publication Number:
  US 20170152741A1
• Time in Patent Office: 1,859 Days
• Field of Search: 702 75
• CPC Class Codes: E21B 4/02 Fluid rotary type drives
• CPC Class Codes: E21B 47/00 Survey of boreholes or wells monitoring pressure or flow of drilling fluid E21B21/08
• CPC Class Codes: E21B 47/135 using light waves, e.g. infrared or ultraviolet waves
• CPC Class Codes: E21B 47/14 using acoustic waves
• CPC Class Codes: E21B 47/18 through the well fluid , e.g. mud pressure pulse telemetry
• CPC Class Codes: G01B 11/16 for measuring the deformation in a solid, e.g. optical strain gauge
• CPC Class Codes: G01D 5/353 influencing the transmission properties of an optical fibre
• CPC Class Codes: G01D 5/35316 using a Bragg gratings
• CPC Class Codes: G01D 5/35361 using elastic backscattering to detect the measured quantity, e.g. using Rayleigh backscattering
• CPC Class Codes: G01D 5/35364 using inelastic backscattering to detect the measured quantity, e.g. using Brillouin or Raman backscattering

Abstract

A fiber optic sensor is disposed in the elastomer of the stator of the mud motor in order to sense elastomer strain while drilling. The frequencies of micro stalls and stick slips are measured from the fiber optic sensor data by classification using thresholds or by converting time-domain measurements from the fiber optic sensor data to frequencies. For example, the frequencies are produced by accumulating a histogram over an interval of time or by computing a Discrete Fourier Transform over an interval of time. A plurality of fiber optic sensors also can sense angular position of the rotor of the mud motor for correlation of the micro stalls and stick slips with the angular position. The measurements of the micro stalls and stick slips are used to select remedial action such as changes in drilling parameters.

Claims

1. A method of measuring stick slips and micro stalls in a down-hole mud motor, the method comprising:

positioning in a borehole a mud motor with an elastomeric stator and at least one fiber optic sensor within the elastomeric stator, the fiber optic sensor including a Bragg grating;

measuring a spectrum of light reflected from the Bragg grating with a spectrophotometer;

processing, via a down-hole computer, data from the spectrophotometer to compute time-domain samples of peak wavelength in the spectrum of light reflected from the Bragg grating;

receiving a measurement from the fiber optic sensor corresponding to a strain within the elastomeric stator; and

processing, via the down-hole computer, the received measurement to determine frequencies of micro stalls and stick slips of the mud motor by converting the time-domain samples of peak wavelength to the frequency domain.

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

reporting the frequency of said at least one of a micro stall and a stick slip to a drilling operator.

3. The method as claimed in claim 2, wherein the digital computer is a down-hole digital computer, and the method further includes transmitting the frequency of said at least one of a micro stall and a stick slip up-hole from the down-hole computer to the drilling operator during the drilling, and the drilling operator using the frequency of said at least one of a micro stall and a stick slip to change drilling parameters for reducing the frequency of said at least one of a micro stall and a stick slip.

4. The method as claimed in claim 2, wherein the digital computer is a surface computer, and the method further includes logging the data from the fiber optic sensor in a down-hole memory during drilling, and after the drilling, down-loading the data from the down-hole memory to the surface computer, and the drilling operator using the frequency of said at least one of a micro stall and a stick slip for selecting drilling parameters for a nearby well.

5. The method as claimed in claim 2, which includes the digital computer measuring frequencies of micro stalls and stick slips by classification using thresholds to distinguish micro stalls and stick slips from normal drilling and to distinguish micro stalls from stick slips.

6. The method as claimed in claim 2, which includes the digital computer measuring frequencies of micro stalls and stick slips by accumulating a histogram of frequencies in the sensor data over an interval of time.

7. The method as claimed in claim 6, wherein the histogram includes at least a first frequency of the micro stalls, and at least a second frequency of the stick slips.

8. The method as claimed in claim 2, which includes the digital computer measuring frequencies of the micro stalls and stick slips by computing a Fourier Transform over an interval of time in order to convert the data from the sensor from a time domain to a frequency domain.

9. The method as claimed in claim 2, which includes sensing strain of elastomer of the mud motor during drilling by sensing light from multiple fiber optic sensors disposed in the elastomer at different phase positions of the stator with respect to the rotor, processing data from the multiple fiber optic sensors with a down-hole digital computer to sense angular position of the rotor with respect to the stator, and correlating micro stalls and stick slips with the angular position of the rotor with respect to the stator.

10. A system for measuring stick slips and micro stalls of a down-hole mud motor, the system comprising:

a downhole mud motor having a rotor, an elastomer stator, and a fiber optic sensor disposed in the elastomer of the stator, the fiber optic sensor including a Bragg grating;

a spectrophotometer coupled to the fiber optic sensor; and

a computer communicably coupled to the fiber optic sensor, wherein the computer has a data processor and a computer-readable storage device storing instructions that, when executed by the data processor, cause the data processor to

process data from the spectrophotometer to compute time-domain samples of peak wavelength in a spectrum of light reflected from the Bragg grating, and

process a measurement from the fiber optic sensor corresponding to a strain within the elastomer stator to determine frequencies of the micro stalls and stick slips of the mud motor by converting the time-domain samples of peak wavelength to the frequency domain.

11. The system as claimed in claim 10, wherein the instructions, when executed by the data processor, cause the data processor to report the frequencies of the micro stalls and stick slips to a drilling operator.

12. The system as claimed in claim 11, wherein the instructions, when executed by the data processor, cause the data processor to measure the frequencies of the micro stalls and stick slips by classification using thresholds to distinguish micro stalls and stick slips from normal drilling and to distinguish micro stalls from stick slips.

13. The system as claimed in claim 11, wherein the instructions, when executed by the data processor, cause the data processor to measure the frequencies of the micro stalls and stick slips by accumulating a histogram of frequencies in the sensor data over an interval of time.

14. The system as claimed in claim 13, wherein the histogram includes at least a first frequency of the micro stalls, and at least a second frequency of the stick slips.

15. The method as claimed in claim 11, wherein the instructions, when executed by the data processor, cause the data processor to measure the frequencies of the micro stalls and stick slips by computing a Fourier Transform over an interval of time in order to convert the sensor data from a time domain to a frequency domain.

16. The system as claimed in claim 11, where the fiber optic sensor comprises one of a plurality of fiber optic sensors disposed in the elastomer at different phase positions of the stator with respect to the rotor, and wherein the instructions, when executed by the data processor, cause the data processor to process data from the plurality fiber optic sensors to determine an angular position of the rotor with respect to the stator, and to correlate the micro stalls and stick slips with the angular position of the rotor with respect to the stator.

17. A non-transitory computer-readable storage device storing instructions that, when executed by a data processor, cause the data processor to

receive data from a fiber optic sensor disposed in a mud motor having a rotor and an elastomer stator, wherein the fiber optic sensor is disposed in the elastomer stator of the mud motor and the fiber optic sensor includes a Bragg grating;

process the received data corresponding to a strain within the elastomer stator to determine frequencies of the micro stalls and stick slips of the mud motor by processing data from a spectrophotometer to compute time-domain samples of peak wavelength in a spectrum of light reflected from the Bragg grating, and by converting the time-domain samples of peak wavelength to the frequency domain; and

report the determined frequencies of the micro stalls and stick slips.

18. The non-transitory computer-readable storage device as claimed in claim 17, wherein the instructions, when executed by the data processor, cause at least one of the following:

(1) the data processor to measure the frequencies of micro stalls and stick slips by classification using thresholds to distinguish micro stalls and stick slips from normal drilling and to distinguish micro stalls from stick slips;

(2) the data processor to measure frequencies of micro stalls and stick slips by accumulating a histogram of frequencies in the sensor data over an interval of time; and

(3) the data processor to measure frequencies of micro stalls and stick slips by computing a Fourier Transform over an interval of time in order to convert the sensor data from a time domain to a frequency domain.