IP Library › Granted Patent US 12,398,637
Granted Patent B2
US 12,398,637 · App. 18/514,223 · Granted Aug 26, 2025

Identifying bit wear and justifying bit trip

Inventors: Yonggui Guo (Houston, TX); Shilin Chen (Conroe, TX); Dale E. Jamison (Houston, TX)
Assignee: Halliburton Energy Services, Inc.
E21B44/00E21B12/02
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Quick Facts
Patent No.
US 12,398,637
App. No.
18/514,223
Granted
Aug 26, 2025
Kind
B2
Abstract

A method performed while drilling a wellbore in a subsurface formation with a drill bit. The method comprises obtaining sonic logs of the subsurface formation proximate the drill bit. The method comprises determining mechanical specific energy based on drilling parameters. The method comprises comparing respective trends of the sonic logs and the mechanical specific energy of the drill bit to identify a cause for a change in drilling performance of the drill bit. The method comprises performing a drilling operation based on the cause for the change in the drilling performance.

Claims (50)

1. A method performed while drilling a wellbore in a subsurface formation with a drill bit comprising:

obtaining sonic logs of the subsurface formation proximate the drill bit;

determining mechanical specific energy based on drilling parameters;

comparing respective trends over a depth interval of the sonic logs and the mechanical specific energy of the drill bit to determine if a change in drilling performance of the drill bit is caused by bit wear or rock strength; and

performing a drilling operation with the drill bit based on the change in the drilling performance.

2. The method of claim 1 , wherein the change in the drilling performance includes a decrease in a rate of penetration of the drill bit.

3. The method of claim 1 , further comprising:

determining the trend in the sonic logs over the depth interval is different than the trend in the mechanical specific energy over the depth interval; and

determining a decrease in rate of penetration of the drill bit is due to the bit wear based on the different trends.

4. The method of claim 1 , further comprising:

determining the trend in the sonic logs over the depth interval and the trend in the mechanical specific energy over the depth interval are increasing; and

determining a decrease in rate of penetration of the drill bit is due to an increase in the rock strength based on the increasing respective trends.

5. The method of claim 1 , wherein the sonic logs are determined based on real-time sonic logs and predrill sonic logs.

6. The method of claim 1 , wherein the drilling parameters include weight on bit at the drill bit, torque on bit at the drill bit, rotations per minute at the drill bit, surface rate of penetration, or any combination thereof.

7. The method of claim 1 , wherein the drilling operation includes replacing the drill bit, adjusting drilling parameters, or any combination thereof.

8. The method of claim 1 further comprising;

determining the drill bit is damaged based on the respective trends of the sonic logs and the mechanical specific energy at the drill bit;

determining a replacement cost of the drill bit and a savings of replacing the drill bit; and

performing the drilling operation based on the replacement cost and savings.

9. A system comprising:

a drill bit configured to drill a wellbore in a subsurface formation;

a processor; and

a computer-readable medium having instructions stored thereon that are executable by the processor to cause the processor to,

obtain sonic logs of the subsurface formation proximate the drill bit;

determine mechanical specific energy based on drilling parameters;

compare respective trends over a depth interval of the sonic logs and the mechanical specific energy of the drill bit to determine if a change in drilling performance of the drill bit is caused by bit wear or rock strength; and

perform a drilling operation with the drill bit based on the change in the drilling performance.

10. The system of claim 9 , wherein the change in the drilling performance includes a decrease in a rate of penetration of the drill bit.

11. The system of claim 9 , further comprising:

determining the trend in the sonic logs over the depth interval is different than the trend in the mechanical specific energy over the depth interval; and

determining a decrease in rate of penetration of the drill bit is due to the bit wear based on the different trends.

12. The system of claim 9 , further comprising:

determining the trend in the sonic logs over the depth interval and the trend in the mechanical specific energy over the depth interval are increasing;

determining a decrease in rate of penetration of the drill bit is due to an increase in the rock strength based on the increasing respective trends.

13. The system of claim 9 , wherein the sonic logs are determined based on real-time sonic logs and predrill sonic logs.

14. The system of claim 9 , wherein the drilling parameters include weight on bit at the drill bit, torque on bit at the drill bit, rotations per minute at the drill bit, surface rate of penetration, or any combination thereof.

15. A non-transitory, computer-readable medium having instructions stored thereon that are executable by a processor to perform operations comprising:

obtaining sonic logs of a subsurface formation proximate a drill bit while drilling a wellbore in the subsurface formation;

determining mechanical specific energy based on drilling parameters;

comparing respective trends over a depth interval of the sonic logs and the mechanical specific energy of the drill bit to determine if a change in drilling performance of the drill bit is caused by bit wear or rock strength; and

performing a drilling operation with a drill bit based on the change in the drilling performance.

16. The non-transitory, computer-readable medium of claim 15 , wherein the change in the drilling performance includes a decrease in a rate of penetration of the drill bit.

17. The non-transitory, computer-readable medium of claim 15 , further comprising:

determining the trend in the sonic logs over the depth interval is different than the trend in the mechanical specific energy over the depth interval; and

determined a decrease in rate of penetration of the drill bit is due to the bit wear based on the different trends.

18. The non-transitory, computer-readable medium of claim 15 , further comprising:

determining the trend in the sonic logs over the depth interval and the trend in the mechanical specific energy over the depth interval are increasing; and

determining a decrease in rate of penetration of the drill bit is due to an increase in the rock strength based on the increasing respective trends.

19. The non-transitory, computer-readable medium of claim 15 , wherein the sonic logs are determined based on real-time sonic logs and predrill sonic logs.

20. The non-transitory, computer-readable medium of claim 15 , wherein the drilling parameters include weight on bit at the drill bit, torque on bit at the drill bit, rotations per minute at the drill bit, surface rate of penetration, or any combination thereof.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 18, 2024
From: GUO, YONGGUI; CHEN, SHILIN; JAMISON, DALE E.
To: HALLIBURTON ENERGY SERVICES, INC.
Reel/Frame 066812/0330 →
Continuity (1)
Related Publication 20250163794A1 · May 22, 2025
References Cited (33)
US 6408953B1 · Goldman · 2002 [cited by examiner]
US 8672055B2 · Boone · 2014 [cited by examiner]
US 9022140B2 · Marx · 2015 [cited by examiner]
US 9249654B2 · Strachan et al. · 2016 [cited by applicant]
US 11230914B2 · Ringer · 2022 [cited by examiner]
US 11492892B2 · Parak · 2022 [cited by examiner]
US 11697969B2 · Potash · 2023 [cited by examiner]
US 12050297B2 · AlSinan · 2024 [cited by examiner]
US 20140025301A1 · Storm, Jr. · 2014 [cited by examiner]
US 20150090498A1 · Hareland · 2015 [cited by applicant]
US 20160305231A1 · Majidi · 2016 [cited by examiner]
US 20180023382A1 · Ringer et al. · 2018 [cited by applicant]
US 20180038226A1 · Logan · 2018 [cited by examiner]
US 20180334897A1 · Samuel et al. · 2018 [cited by applicant]
US 20200362686A1 · Puwanto · 2020 [cited by examiner]
US 20220316328A1 · Srivastava et al. · 2022 [cited by applicant]
US 20240328308A1 · Lee · 2024 [cited by examiner]
US 20250163794A1 · Guo · 2025 [cited by examiner]
EP 0163426B1 · 1988 [cited by examiner]
WO WO2008070829A2 · 2008 [cited by examiner]
WO WO2020167334A1 · 2020 [cited by examiner]
Al-Rashidi, et al., “Designing Neural Networks for the Prediction of the Drilling Parameters for Kuwait Oil and Gas Fields”, College of Engineering and Mineral Resources At West Virginia University, Graduate Theses, Dis… [cited by applicant]
Bilgesu, et al., “A New Approach for the Prediction of Rate of Penetration (ROP) Values”, SPE Eastern Regional Meeting, Lexington, Kentucky, Oct. 1997, 5 pages. [cited by applicant]
Bourgoyne, Jr., et al., “A Multiple Regression Approach to Optimal Drilling and Abnormal Pressure Detection”, Society of Petroleum Engineers Journal 14 (04) Paper No. SPE-4238-PA, Aug. 1974, pp. 371-384. [cited by applicant]
Celada, et al., “The Use of the Specific Drilling Energy for Rock Mass Characterisation and TBM Driving During Tunnel Construction”, ITA-AITES World Tunnel Congress 2009, Budapest, Hungary, 2009, 12 pages. [cited by applicant]
Chang, et al., “Empirical Relations Between Rock Strength and Physical Properties in Sedimentary Rocks”, Journal of Petroleum Science and Engineering 51, Jan. 6, 2006, pp. 223-237. [cited by applicant]
Hareland, “Use of Drilling Parameters To Predict In-Situ Stress Bounds”, SPE/IADC Drilling Conference held in Amsterdam Feb. 23-25, 1993, 1993, 15 pages. [cited by applicant]
Moran, et al., “Sophisticated ROP Prediction Technologies Based on Neural Network Delivers Accurate Drill Time Results”, IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition, 2010, 9 pages. [cited by applicant]
Pinto, et al., “Mechanical Specific Energy for Drilling Optimization in Deepwater Brazilian Salt Environments”, Society of Petroleum Engineers, 2016, 18 pages. [cited by applicant]
Richard, et al., “The Scratch Test as a Means to Measure Strength of Sedimentary Rocks”, SPE/ISRM Rock Mechanics in Petroleum Engineering, Trondheim, Norway, Jul. 1998, 8 pages. [cited by applicant]
Teale, “The Concept of Specific Energy in Rock Drilling”, International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts vol. 2, Issue 1, Mar. 1965, pp. 57-73. [cited by applicant]
Warren, “Drilling Model for Soft-Formation Bits”, Society of Petroleum Engineers of AIME, Jun. 1981, 8 pages. [cited by applicant]
“PCT Application No. PCT/US24/39070 International Search Report and Written Opinion”, Oct. 30, 2024, 9 pages. [cited by applicant]