ESP Failure-Rate Analysis for Proactive Pump Replacement
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Solution Overview
Problem
The unpredictable nature of Electrical Submersible Pump (ESP) system failures in hydrocarbon wells leads to increased operation costs and production losses, necessitating a method for effective ESP replacement planning.
Innovation Solution
A remote server system that collects and analyzes operating data from multiple ESP systems to determine failure rates, locations, and compatibility types, and sends commands to replace ESP systems that exceed predetermined failure criteria, using data on hydrogen sulfide gas partial pressure, sand presence, electrical integrity, and other factors to optimize replacement decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ESP systems are replaced reactively after failure, then equipment reliability is maintained, but operational costs increase and production losses occur
Solution Approach 1:
The system performs preliminary actions by continuously monitoring ESP operating parameters (vibration, temperature, current, pressure) and calculating failure probabilities before actual failures occur. This enables proactive replacement scheduling that prevents failures rather than reacting to them, thereby maintaining reliability while avoiding the costly downtime and operational losses associated with reactive replacement.
Solution Approach 2:
The system implements continuous feedback loops by monitoring real-time ESP operating data, comparing it against historical failure patterns and predetermined criteria, and dynamically adjusting replacement schedules. This feedback mechanism enables the system to identify deteriorating trends and trigger replacement actions at optimal moments, balancing reliability maintenance with cost optimization.
2Measurement precision
If ESP systems are monitored continuously with multiple parameters, then failure prediction accuracy improves, but system complexity increases
Solution Approach 1:
The monitoring system achieves multi-functionality by using a single integrated platform that simultaneously tracks multiple ESP parameters (vibration, temperature, current, pressure), calculates failure probabilities, compares against historical data, and generates replacement recommendations. This universal system consolidates what would otherwise require separate monitoring, analysis, and decision-making systems, improving prediction accuracy without proportionally increasing complexity.
Solution Approach 2:
The system merges data collection, analysis, and decision-making functions into an integrated monitoring platform. By combining real-time sensor data with historical failure patterns and predictive algorithms in a single system, it achieves high prediction accuracy while avoiding the complexity of multiple separate systems working in silos.
3Quantity of substance
If ESP replacement is delayed until failure occurs, then replacement costs are reduced, but production losses increase
Solution Approach 1:
The system performs preliminary replacement actions by predicting failures before they occur and scheduling replacements during planned maintenance windows rather than during unexpected failures. This allows production to be scheduled around maintenance activities, minimizing unplanned downtime and production losses while maintaining control over replacement spending.
Solution Approach 2:
The system provides a cushioning effect by building up monitoring data and failure probability assessments over time, allowing operators to plan replacements during optimal windows before failures occur. This proactive approach cushions against the financial impact of both premature replacement and costly emergency replacements, finding the optimal balance point.
Data Source
AI summary
A method includes obtaining operating data regarding a plurality of Electrical Submersible Pump (ESP) systems in a field of interest. The operating data describe respective replacements of each of the ESP systems, respective compatibility type of each of the ESP systems, and ESP status data comprising: a hydrogen sulfide gas partial pressure, a type of Motor Lead Extension (MLE), a presence of sand, a run life history, an electrical integrity, a type of packer feedthrough, a motor load, a motor temperature, and a history of dormant time. The method includes determining a failure rate of a first compatibility type of ESP system using the operating data, determining whether the failure rate satisfies a predetermined criterion; and transmitting a command to alter an ESP. The method includes replacing one or more ESP systems with a replacement based on a selection of each ESP systems to be replaced on the display.