Fracture Event Detection Algorithm for Hydraulic Fracturing
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Solution Overview
Problem
Automating the hydraulic fracturing process is hindered by the difficulty in accurately and consistently detecting and reporting events that occur during the process, relying heavily on human operators to monitor diagnostic data in real-time.
Innovation Solution
Implementing event detection algorithms that can be applied to data related to the fracturing operation to detect specific events, such as pressure breakdowns or ball seat events, and generating indications of these events for potential real-time automation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If event detection algorithms are implemented to automate fracturing process monitoring, then measurement precision and reliability of event detection improve, but device complexity increases
Solution Approach 1:
The patent replaces manual operator monitoring and event flagging with automated event detection algorithms that process diagnostic data. This substitution of mechanical/human monitoring systems with computational algorithms improves measurement precision while the modular algorithm architecture manages the complexity increase through software-based solutions rather than additional physical hardware.
2Productivity
If multiple event detection algorithms are applied to detect different events, then productivity and automation extent improve, but device complexity increases
Solution Approach 1:
The patent divides the monitoring system into multiple specialized event detection algorithms, each designed to detect specific events (e.g., pressure events, flow events, temperature events). This segmentation allows the system to process different types of events independently and in parallel, improving overall productivity while managing complexity through modular, specialized components rather than a single monolithic system.
Solution Approach 2:
The patent creates a universal event detection platform that can handle multiple types of events through a common architecture. The system uses a standardized data processing framework that can accommodate different detection algorithms for various events, allowing the system to perform multiple functions while maintaining a unified, manageable structure that reduces overall complexity.
3Reliability
If real-time monitoring and event detection are implemented, then reliability of fracturing process control improves, but use of energy increases
Solution Approach 1:
The event detection algorithms are designed to process diagnostic data that is already being collected by the fracturing system's sensors and monitoring equipment. By utilizing existing data infrastructure and processing capabilities, the system achieves reliable real-time event detection without requiring additional energy-intensive hardware or redundant data collection systems, thereby improving reliability while minimizing additional energy consumption.
Data Source
AI summary
Aspects of the subject technology relate to systems, methods, and computer-readable media for detecting and marking events that occur during a fracturing operation. Data related to performance of a fracturing operation in a wellbore during performance of a stage of the fracturing operation can be accessed. An event detection algorithm for detecting a specific event during the fracturing operation can be accessed. The event detection algorithm can be applied to the data to determine whether the specific event actually occurs during at least a portion of the stage of the fracturing operation. As follows, an indication of the specific event occurring during the stage of the fracturing operation can generated if it is determined that the specific event actually occurred during the at least a portion of the stage of the fracturing operation.