Downhole Fracturing Pressure Analysis for Screen Out Prediction
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Solution Overview
Problem
Current methods for detecting screen outs during hydraulic fracturing operations rely on human monitoring, which is prone to oversight and error, posing risks of well blowouts due to blocked fluid paths by proppant materials.
Innovation Solution
Implementing a system that uses fiber-optic sensors and real-time pressure analysis to detect and predict screen outs by measuring pressure conditions, removing non-screen out related factors, and applying mathematical models to identify potential blockages, enabling automated corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If human monitoring is used to detect screen outs, then operational simplicity is maintained, but detection reliability deteriorates due to susceptibility to oversight and error
Solution Approach 1:
The patent replaces the mechanical human monitoring system with an automated electronic detection system that uses pressure sensors and mathematical models to detect screen outs. This substitution eliminates human error while maintaining operational simplicity through automated real-time monitoring of pressure responses during fracturing operations.
Solution Approach 2:
The system enables self-service detection by automatically monitoring its own operational parameters (pressure responses) and detecting screen out conditions without requiring external human intervention. The automated system continuously analyzes pressure data and triggers alerts when screen out conditions are detected, making the monitoring process self-sufficient.
2Reliability
If automated detection systems are implemented, then detection reliability improves, but device complexity increases
Solution Approach 1:
The system achieves multi-functionality by using pressure sensors that serve both as operational monitoring devices and as detection devices for screen out conditions. The same pressure measurement infrastructure used for controlling fracturing operations is also utilized for detecting screen outs, eliminating the need for separate dedicated detection hardware and reducing overall system complexity.
Solution Approach 2:
The patent introduces mathematical models as intermediaries that process raw pressure sensor data and translate it into meaningful screen out detection signals. These models act as a bridge between the simple pressure measurements and the complex detection logic, enabling reliable automated detection while keeping the physical sensor system relatively simple.
3Loss of time
If real-time detection is implemented, then response time to screen outs improves, but measurement and detection difficulty increases
Solution Approach 1:
The system performs preliminary action by continuously collecting and preprocessing pressure data during normal fracturing operations. The mathematical models are pre-configured to recognize patterns indicative of screen out conditions, allowing the system to detect and respond to screen outs in real-time without requiring complex analysis when the event occurs, thus reducing response time while managing detection complexity.
Data Source
AI summary
A system and method to predict or detect screen outs by measuring pressure conditions in the well in real-time, and that conducts mitigation of the condition. Pressure responses of the well are detected during a fracture operation. The system processes the pressure responses by removing the effects of non-screen out related factors. A mathematical model is applied to the pressure responses to detect or predict the screen out. In response to the screen out detection or prediction, corrective action may be initiated.