Engine Oil Monitoring Using Differential Pressure Proxies
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Solution Overview
Problem
The oil and gas industry faces challenges in monitoring engine oil level and quality in well systems, leading to potential engine failures and costly repairs due to the lack of effective and cost-efficient methods for lubrication monitoring in internal combustion engines.
Innovation Solution
Implementing proxy models using engine oil differential pressure (EODP), engine oil pressure (EOP), and revolutions per minute (RPM) measurements to predict oil level and quality issues without specialized sensors, utilizing data processing techniques like adaptive windowing and regression analysis to detect deviations from thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized sensors are used to monitor oil level and quality, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a virtual copy of the oil monitoring function by using existing sensor data (pressure, temperature, flow rate) to infer oil level and quality parameters through data processing algorithms. Instead of installing specialized physical sensors, the system copies the monitoring capability through computational modeling and pattern recognition of existing operational parameters.
Solution Approach 2:
The patent makes existing sensors serve multiple functions - pressure sensors not only monitor system pressure but also infer oil level and quality conditions. The same sensor network used for basic engine monitoring is leveraged to provide specialized oil condition assessment, eliminating the need for dedicated sensors and reducing overall system complexity.
2Measurement precision
If specialized sensors are deployed for oil monitoring, then measurement precision improves, but cost increases
Solution Approach 1:
The system creates a virtual monitoring capability that replicates the function of expensive specialized sensors using affordable existing sensors and computational algorithms. This copying approach achieves comparable measurement precision without the high capital expenditure required for dedicated oil level and quality sensors.
Solution Approach 2:
The patent replaces expensive, specialized, and potentially fragile sensors with inexpensive, readily available standard sensors. The computational processing layer is software-based and can be updated or replaced without hardware changes, providing a cost-effective and flexible monitoring solution.
3Reliability
If comprehensive oil monitoring is implemented, then engine reliability improves, but device complexity increases
Solution Approach 1:
The patent integrates oil monitoring functionality into the existing engine control and sensor network infrastructure. The same processors, communication systems, and user interfaces used for general engine management are leveraged to provide oil condition monitoring, avoiding the need for separate dedicated monitoring hardware and reducing overall system complexity.
Solution Approach 2:
The patent combines oil level and quality monitoring with existing engine parameter monitoring functions. Data from pressure, temperature, and flow sensors are integrated into a unified analysis framework that simultaneously assesses multiple engine conditions including oil status, eliminating the need for separate monitoring subsystems.
Data Source
AI summary
Systems, methods, and apparatus, including computer programs encoded on computer-readable media, for monitoring engine oil of a well system. Engine oil differential pressure (EODP) measurements data may be obtained from an engine of the well system. At least one of an EODP oscillation indicator, EODP zero information, or EODP slope information may be determined based on the EODP measurement data. Engine oil pressure (EOP) measurement data may also be obtained from the engine of the well system. At least one of engine oil level or engine oil quality may be determined based on at least one of the EODP oscillation indicator, the EODP zero information, the EODP slope information, or the EOP measurement data.