Drill Bit Bearing Failure Detection via Sensor Deconvolution
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Solution Overview
Problem
Current methods for detecting drill bit wear and failure in downhole drilling operations are unreliable due to interference from various formation properties and variables, leading to potential catastrophic failures and increased costs from inefficient drilling and costly retrieval operations.
Innovation Solution
A drilling system that utilizes drill bit sensors to measure parameters like acceleration, jerk, weight-on-bit, and torque, which are then processed using deconvolution techniques and empirical mode decomposition to generate intrinsic mode functions and calculate energy curves, allowing for real-time identification of drill bit wear and failure, thereby providing a reliable prediction of bit life and optimal drilling conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drilling parameters (torque, weight on bit, rate of penetration) are monitored at the drill rig to predict drill bit bearing failure, then failure prediction capability is provided, but reliability of prediction deteriorates due to interference from formation properties and drilling fluid variables
Solution Approach 1:
The patent extracts the drill bit bearing assembly as a separate monitored component with its own dedicated sensor system. By placing sensors directly on the bearing assembly rather than monitoring overall drilling parameters at the surface, the system isolates the bearing failure detection from interference caused by formation properties and drilling fluid variables, enabling reliable prediction specifically for bearing failures.
Solution Approach 2:
The patent introduces downhole sensors as intermediaries between the drill bit bearing assembly and the surface monitoring system. These sensors directly measure bearing assembly conditions (vibration, temperature, acoustic emissions) and transmit this information to the surface, serving as a mediator that eliminates the interference from formation properties that plagues direct drilling parameter monitoring.
2Reliability
If marker fluid (radioactive material in bearing lubricant) is used to detect bearing failure, then reliable detection of lubricant loss is achieved, but handling difficulties and detection sensitivity problems arise due to the large volume of drilling fluid
Solution Approach 1:
The patent replaces the chemical/marker-based detection system with a physical sensing system. Instead of using radioactive marker fluid in the lubricant, the system uses downhole sensors (vibration sensors, temperature sensors, acoustic emission sensors) directly mounted on the bearing assembly to detect mechanical and thermal signatures of bearing failure, eliminating all complexities associated with marker fluid handling and detection.
Solution Approach 2:
The patent introduces downhole sensors as intermediaries that directly monitor bearing assembly conditions. These sensors serve as a mediator between the bearing failure event and the surface monitoring system, providing reliable detection without the complexities of marker fluid systems.
3Productivity
If drill bit is operated until failure to maximize productivity, then drilling efficiency is improved, but catastrophic failure risk and retrieval costs increase
Solution Approach 1:
The patent implements a feedback system where downhole sensors continuously monitor bearing assembly conditions and transmit this information to the surface. The monitoring system provides real-time feedback on bearing health status, enabling operators to adjust drilling parameters or retrieve the drill bit before catastrophic failure occurs, thus maintaining both high productivity and reliability.
Solution Approach 2:
The patent enables preliminary detection of bearing failure conditions through continuous downhole monitoring. By detecting early signs of bearing degradation (increased vibration, temperature changes, acoustic emissions) before actual failure occurs, the system allows operators to take preliminary actions such as reducing weight on bit or planning bit retrieval, preventing catastrophic failure while maximizing productive drilling time.
Data Source
AI summary
A method and system to drill a wellbore and identify drill bit failure by deconvoluting sensor data. The method comprises drilling the wellbore using a drill bit; and measuring data indicative of a parameter associated with the drill bit using a sensor located in the wellbore. The method also comprises decomposing the data to generate an intrinsic mode function of the drill bit data; and analyzing the intrinsic mode function to identify a drill bit failure. The system for drilling the wellbore comprises a drill bit; a sensor; and a processor. The sensor is located in the wellbore and operable to measure data indicative of a parameter associated with the drill bit. The processor is in communication with the sensor and operable to decompose the data to generate an intrinsic mode function of the drill bit data; and analyze the intrinsic mode function to identify a drill bit failure.