Electric Submersible Pump Downhole Sensor Data Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
It is challenging to accurately monitor the operating conditions and predict failures of electric submersible pumps (ESPs) deployed in borehole environments due to limitations in vibration data acquisition and transmission, particularly in undersea deployments where data sampling is insufficient and bandwidth for high-resolution data transfer is limited.
Innovation Solution
A method and system that acquire high-resolution downhole data using sensors and store it for periodic transmission to the surface, correlating it with surface measurements to establish a baseline signature profile, enabling accurate prediction of ESP failures and performance degradation through frequency analysis and comparison with established baseline profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution downhole data is acquired and transmitted continuously, then measurement precision and reliability improve, but bandwidth consumption increases and loss of time occurs due to transmission limitations
Solution Approach 1:
The system performs preliminary actions by storing downhole measurements in memory before transmission is needed. The downhole device accumulates high-resolution measurement data locally during operation, ensuring data is preserved and ready for later transmission when bandwidth becomes available, thus preventing data loss due to transmission constraints
Solution Approach 2:
The system implements periodic transmission of stored downhole data to the surface at scheduled intervals rather than continuous transmission. This periodic action optimizes bandwidth utilization while ensuring that accumulated high-resolution measurements are regularly updated and transmitted, balancing measurement precision with transmission constraints
2Loss of energy
If data is stored downhole for periodic transmission, then bandwidth usage is reduced, but loss of time occurs due to delayed data availability
Solution Approach 1:
The system establishes feedback loops that correlate downhole measurements with surface measurements to detect anomalies and predict failures. This feedback mechanism allows the system to prioritize transmission of critical data and adjust transmission timing based on actual equipment condition, reducing the effective time loss while optimizing bandwidth energy usage
3Reliability
If vibration data is monitored to predict ESP failure, then reliability improves, but device complexity increases due to additional sensors and data processing requirements
Solution Approach 1:
The downhole device is designed with multi-functionality, serving both as a production equipment and as a monitoring station. The same device that performs pumping functions also contains sensors and processing capabilities for vibration analysis and failure prediction, eliminating the need for separate monitoring equipment and reducing overall system complexity
Solution Approach 2:
The monitoring system implements self-service by performing autonomous analysis of vibration data and generating failure predictions without requiring constant external intervention. The downhole device processes its own measurement data, correlates it with surface data, and provides reliability assessments independently, reducing the complexity of external monitoring infrastructure
Data Source
AI summary
A method for monitoring an electric submersible pump. The method includes acquiring data indicative of surface measurements obtained while the pump is operating in a downhole environment, acquiring data indicative of downhole measurements obtained while the pump is operating in the downhole environment, storing the downhole data in the downhole environment, periodically transmitting the downhole data from the downhole environment to a remote computing device, and establishing a baseline signature profile based on a correlation of the surface data with the downhole data.