Drill bit subsystem for automatically updating drill trajectory

Patent metadata

Field	Value
Publication number	US-11346202-B2
Application number	US-201816968705-A
Country	US
Kind code	B2
Filing date	Jun 27, 2018
Priority date	Jun 27, 2018
Publication date	May 31, 2022
Grant date	May 31, 2022

Abstract

A drill bit subsystem can include a drill bit, a processor, and a non-transitory computer-readable medium for storing instructions and for being positioned downhole with the drill bit. The instructions of the non-transitory computer-readable medium can include a machine-teachable module and a control module that are executable by the processor. The machine-teachable module can receive depth data and rate of drill bit penetration from one or more sensors in a drilling operation, and determine an estimated lithology of a formation at which the drill bit subsystem is located. The control module can use the estimated lithology to determine an updated location of the drill bit subsystem, and control a direction of the drill bit using the updated location and a drill plan.

First claim

What is claimed is:

1. A drill bit subsystem comprising:
a drill bit;
a processor; and
a non-transitory computer-readable medium for storing instructions and for being positioned downhole with the drill bit, the instructions comprising:
a machine-teachable module that is executable by the processor to:
receive basin data about offset wellbores and real-time data about a drilling operation that includes the drill bit subsystem, the real-time data including depth data and rate of drill bit penetration from one or more sensors in the drilling operation;
train a lithology estimation model using the real-time data and attributes usable for determining an estimated lithology; and
determine, by applying the lithology estimation model to the basin data, the estimated lithology of a formation at which the drill bit subsystem is located; and

a control module that is executable by the processor to:
determine, using the estimated lithology, a location of the drill bit in the formation;
compare the location of the drill bit to a planned trajectory of the drill bit for determining whether a trajectory of the drill bit corresponds to the planned trajectory; and
control, based on comparing the location of the drill bit to the planned trajectory of the drill bit, the trajectory of the drill bit using the location of the drill bit and a drill plan that includes the planned trajectory of the drill bit.

2. The drill bit subsystem of claim 1 , wherein the estimated lithology includes an entrance and an exit with respect to a type of formation, the entrance being located at a first layer of the type of formation and proximate to a preceding type of formation, and the exit being located at a second layer of the type of formation and proximate to a subsequent type of formation, the preceding type of formation and subsequent type of formation having a different lithology than the type of formation.

3. The drill bit subsystem of claim 2 , wherein the machine-teachable module that is executable by the processor to determine an estimated lithology of a formation at which the drill bit subsystem is located is further executable to:
determine the entrance and the exit of the type of formation in response to a change in depth data and rate of drill bit penetration received from the one or more sensors in the drilling operation.

4. The drill bit subsystem of claim 1 , wherein the non-transitory computer-readable medium includes instructions for the machine-teachable module to be executable to further:
receive a revolution per minute rate of the drill bit, a drill bit diameter, and a weight-on-bit from the one or more sensors in the drilling operation; and
use an artificial neural network.

5. The drill bit subsystem of claim 1 , wherein the non-transitory computer-readable medium includes instructions for the drill bit subsystem to operate downhole absent communicating with non-downhole systems.

6. The drill bit subsystem of claim 1 , wherein the instructions of the non-transitory computer-readable medium are executable to cause the processor to:
receive, from a surface of the drilling operation, a set of instructions including an override command for preventing automated procedures from being performed by the machine-teachable module and the control module; and
executing the set of instructions to manually control the trajectory of the drill bit.

7. The drill bit subsystem of claim 1 , wherein the machine-teachable module is teachable prior to being utilized downhole using data stored in a system that is separate from the drill bit subsystem.

8. A non-transitory computer-readable medium for storing instructions and being positioned downhole with a drill bit, the instructions comprising:
a machine-teachable module that is executable by a processor to:
receive basin data about offset wellbores and real-time data about a drilling operation that includes a drill bit subsystem, the real-time data including depth data and rate of drill bit penetration from one or more sensors in the drilling operation;
train a lithology estimation model using the real-time data and attributes usable from determining an estimated lithology; and
determine, by applying the lithology estimation model to the basin data, the estimated lithology of a formation at which the drill bit subsystem is located; and

a control module that is executable by the processor to:
determine, using the estimated lithology, a location of the drill bit in the formation:
compare the location of the drill bit to a planned trajectory of the drill bit for determining whether a trajectory of the drill bit corresponds to the planned trajectory; and
control, based on comparing the location of the drill bit to the planned trajectory of the drill bit, the trajectory of the drill bit of the drill bit subsystem using the location and a drill plan that includes the planned trajectory of the drill bit.

9. The non-transitory computer-readable medium of claim 8 , wherein the estimated lithology includes an entrance and an exit with respect to a type of formation, the entrance being located at a first layer of the type of formation and proximate to a preceding type of formation, and the exit being located at a second layer of the type of formation and proximate to a subsequent type of formation, the preceding type of formation and subsequent type of formation having a different lithology than the type of formation.

10. The non-transitory computer-readable medium of claim 9 , wherein the machine-teachable module that is executable by the processor to determine an estimated lithology of a formation at which the drill bit subsystem is located is further executable to:
determine the entrance and the exit of the type of formation in response to a change in depth data and rate of drill bit penetration received from the one or more sensors in the drilling operation.

11. The non-transitory computer-readable medium of claim 8 , wherein the non-transitory computer-readable medium includes instructions for the machine-teachable module to:
receive a revolution per minute rate of the drill bit, a drill bit diameter, and a weight-on-bit from the one or more sensors in the drilling operation;
use the revolution per minute rate of the drill bit, the drill bit diameter, and the weight-on-bit; and
use an artificial neural network.

12. The non-transitory computer-readable medium of claim 8 , wherein the non-transitory computer-readable medium includes instructions for the drill bit subsystem to operate downhole absent communicating with non-downhole systems.

13. The non-transitory computer-readable medium of claim 8 , wherein the instructions are executable to cause the processor to:
receive, from a surface of the drilling operation, a set of instructions including an override command for preventing automated procedures from being performed by the machine-teachable module and the control module; and
executing the set of instructions to manually control the trajectory of the drill bit.

14. A method comprising:
receiving, by a machine-teachable module that is executed by a processor and positioned with a drill bit downhole, basin data about offset wellbores and real-time data about a drilling operation that includes the drill bit, the real-time data including depth data and rate of drill bit penetration from one or more sensors in the drilling operation using the drill bit;
training, by the machine-teachable module, a lithology estimation model using the real-time data and attributes usable from determining an estimated lithology;
determining, by the machine-teachable module and by applying the lithology esti

Assignees

• Landmark Graphics Corp

Inventors

• Brumbaugh Greg Daniel
• Huang Youpeng
• Vamaraju Janaki
• Winston Joseph Blake
• Taylor Aimee Jackson
• Rangarajan Keshava
• Wesley Avinash

Classifications

• E21B47/00

  Survey of boreholes or wells (monitoring pressure or flow of drilling fluid E21B21/08) · CPC title

• E21B44/02 Primary

  Automatic control of the tool feed ({E21B44/005,} E21B44/10 take precedence) · CPC title

• E21B44/04

  in response to the torque of the drive {; Measuring drilling torque (E21B44/06 takes precedence; measuring stresses in a well bore pipe E21B47/007)} · CPC title

• E21B47/04

  Measuring depth or liquid level · CPC title

• E21B2200/22

  Fuzzy logic, artificial intelligence, neural networks or the like · CPC title