Predictive Reamer Wear Detection via Operational Data
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Solution Overview
Problem
Current methods fail to accurately predict reamer durability in wellbores, leading to compromised hole diameters and increased time and costs in re-reaming, as wear is difficult to detect without removing the reamer.
Innovation Solution
A system and method that uses an information acquisition processor to collect and compare data on reamer performance with historical data, generating a predictive model to determine durability changes and alert users when reamer durability is compromised, utilizing inputs like bit size, torque, and RPM.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If reamer is used in wellbore drilling, then hole diameter can be maintained, but reamer wear is difficult to detect until removal
Solution Approach 1:
The system implements feedback by continuously collecting operational parameters (torque, RPM, depth, weight on bit) and comparing them against historical data and predictive models to provide real-time wear status information. This closed-loop feedback enables early detection of reamer wear conditions without physical removal, resolving the contradiction between maintaining measurement precision and preventing information loss.
Solution Approach 2:
The patent introduces an intermediary predictive modeling system that acts as a mediator between the reamer and the monitoring system. Instead of directly measuring wear (which requires removal), the system uses operational parameters as intermediaries to infer wear status through comparative analysis against historical datasets, enabling indirect but accurate wear detection.
2Productivity
If reamer durability is not monitored, then operational continuity is maintained, but hole diameter is compromised due to undetected wear
Solution Approach 1:
The system performs preliminary action by using predictive models to forecast reamer wear and durability loss before it reaches critical levels. By analyzing operational parameters and comparing them with historical data, the system enables early intervention and proactive reamer replacement, maintaining both operational continuity and hole diameter reliability simultaneously.
Solution Approach 2:
The continuous feedback loop monitors reamer performance parameters and provides real-time insights into durability status. This feedback mechanism allows operators to maintain productivity by planning reamer replacements at optimal intervals while ensuring hole diameter reliability through early detection of wear conditions that would otherwise compromise the wellbore.
3Loss of information
If reamer is removed for wear inspection, then wear status is known, but time is lost and hole diameter is compromised
Solution Approach 1:
The patent replaces the mechanical inspection process (physical removal and visual/exam inspection) with an electronic/informatic system. Operational parameters are collected and analyzed through predictive models and comparative algorithms, substituting the time-consuming mechanical removal and inspection process with rapid data processing that provides wear status information without interrupting drilling operations.
Solution Approach 2:
The system uses operational parameters (torque, RPM, depth, weight) as intermediaries to convey wear status information without requiring physical access to the reamer. These parameters serve as proxies that, when analyzed through predictive models, provide accurate wear assessment while eliminating the time loss associated with reamer removal and re-reaming operations.
4Manufacturing precision
If re-reaming is performed to restore hole diameter, then hole dimensions are restored, but additional time and costs are incurred
Solution Approach 1:
The system performs preliminary action by detecting reamer wear conditions before they compromise hole diameter precision. By continuously monitoring operational parameters and comparing them against predictive models, the system enables proactive reamer replacement at optimal intervals, preventing the need for corrective re-reaming operations and associated time losses while maintaining hole dimension accuracy.
Data Source
AI summary
The disclosed embodiments include a system and method for generating a predictive model for determining whether a reamer has experienced significant wear. The system includes an information acquisition processor and a server. The information acquisition processor retrieves wellbore information, transmits the information to the server. The server generates and updates the predictive model that can predict whether the reamer has experienced wear