Adaptive Model for Submersible Pump Health Assessment

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Solution Overview

Problem

Electric submersible pumps (ESPs) operating in geologic environments face challenges such as unbalanced phases, voltage spikes, harmonics, and extreme conditions, leading to motor and cable issues, which can affect their longevity and efficiency.

Innovation Solution

A method and system that utilize an adaptive model to identify the state of the ESP by analyzing sensor and electrical information from downhole sensors and power transmission, allowing for real-time monitoring and control of the ESP and power cable, addressing asymmetries and non-linearities introduced by the cable and environmental conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional monitoring methods are used for ESP systems, then the system structure remains simple, but the accuracy of health assessment and life expectancy prediction deteriorates due to inability to account for cable asymmetries and non-linearities

Engineering Contradiction:
Improvehealth assessment accuracyVSAvoidmonitoring system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

An adaptive model acts as an intermediary between the complex ESP system and the monitoring apparatus. The model includes representations of the cable, motor, and pump, and processes sensor information along with electrical information about power transmission to account for cable asymmetries and non-linearities, thereby improving health assessment accuracy without requiring direct complex measurements of all system components

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces direct physical measurement of motor and cable states with an adaptive computational model that processes electrical information and sensor data. This substitution of mechanical/physical measurement systems with information-processing models reduces the need for complex physical monitoring hardware while improving assessment precision

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If real-time monitoring of ESP and cable state is implemented, then operational efficiency improves through better health assessment, but the complexity of data processing and model maintenance increases

Engineering Contradiction:
Improveoperational efficiencyVSAvoiddata processing complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The adaptive model serves multiple functions simultaneously: it monitors cable health, assesses motor condition, predicts life expectancy, and processes various types of sensor and electrical information. This multi-functionality consolidates what would otherwise require separate monitoring systems into a single integrated approach, improving operational efficiency while managing complexity through consolidation

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The adaptive model continuously updates its own parameters and representations based on incoming sensor information and electrical data about power transmission. The system self-adjusts to account for changing conditions such as cable asymmetries and non-linearities without requiring external recalibration or manual intervention, thereby improving operational efficiency while reducing the complexity of system maintenance

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS10876393B2Submersible electrical system assessment
Publication Date: 2020.12.29 SENSIA LLC
  • US10876393B2 patent drawing
  • US10876393B2 patent drawing
  • US10876393B2 patent drawing

AI summary

A method can include receiving sensor information from at least one sensor disposed in a downhole environment that includes an electric submersible pump operatively coupled to a power drive via a cable; receiving electrical information associated with transmission of power via the cable; and identifying a state of the electric submersible pump via an adaptive model of at least the cable and the electric submersible pump based at least in part on a portion of the sensor information and a portion of the electrical information.