Drill Pipe Fatigue Prediction via Cumulative Damage Simulation
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Solution Overview
Problem
Drilling system components in boreholes are prone to fatigue damage due to mechanical stress, pressure, and temperature variations, leading to increased costs and downtime when components fail during operation.
Innovation Solution
An apparatus and method that simulate fatigue in drill pipes using an algorithm executed by a processor, calculating cumulative fatigue damage based on surface and downhole load data, allowing for predictive maintenance by identifying and replacing or repairing drill pipes before failure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If drill pipes are used repeatedly under varying operating conditions, then productivity increases, but fatigue damage accumulates leading to component failure
Solution Approach 1:
The system performs preliminary fatigue damage calculation and prediction before actual drill pipe failure occurs. By continuously monitoring operating conditions and calculating cumulative fatigue damage in advance, the system enables proactive replacement of drill pipes before they fail, thus maintaining high productivity while preventing reliability issues.
Solution Approach 2:
The system implements a feedback mechanism where actual operating conditions (loads, rotations, depth) are continuously monitored and fed back to the fatigue damage calculation algorithm. This real-time feedback allows the system to accurately track cumulative fatigue damage and predict remaining service life, enabling optimized drill pipe replacement decisions that balance productivity and reliability.
2Reliability
If drill pipes are replaced proactively based on fatigue prediction, then reliability is improved, but loss of time and increased costs occur
Solution Approach 1:
The system calculates and predicts fatigue damage in advance before actual failure occurs, allowing drill pipes to be replaced during planned maintenance windows rather than during unexpected failures. This preliminary assessment enables proactive scheduling of replacements, improving reliability while minimizing unplanned downtime and associated costs.
Solution Approach 2:
The fatigue damage calculation is dynamic and continuously updated based on actual operating conditions. The system adapts the prediction in real-time as drilling conditions change, allowing for optimized replacement timing that maximizes drill pipe utilization while preventing failure, thus balancing reliability improvement with time loss minimization.
Data Source
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AI summary
An apparatus for drilling a borehole in an earth formation includes: a plurality of drill pipes configured to be coupled together to form a drill string that is configured to convey an earth formation disintegrating device while progressing into the earth formation; a communication medium disposed on the drill string and configured to communicate a signal; and one or more processors. The one or more processors are configured to: receive drilling information; determine a stress distribution along at least a part of the drill string using the drilling information; determine a cumulative fatigue damage of at least a part of one drill pipe in the drill string using the stress distribution; and write the cumulative fatigue damage of the at least a part of one drill pipe to a memory.