Adaptive Noise Reduction for Hydraulic Fracturing Event Monitoring
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Solution Overview
Problem
Current methods for detecting downhole events in hydraulic fracturing operations, such as ball seat events and formation fractures, are prone to errors due to interference from surface noise, making it difficult to reliably monitor and detect these events.
Innovation Solution
A system comprising multiple sensors symmetrically arranged around the pipe axis at different axial positions, combined with adaptive digital signal processing algorithms, to minimize surface noise and enhance the detection of downhole acoustic-wave-producing events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are deployed to improve detection capability, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system divides the detection task into multiple sensor units positioned at different axial locations along the pipe. Each sensor independently monitors acoustic waves in its local zone, and the processor segments the analysis by comparing signals from different axial positions to identify downhole events versus surface noise based on their spatial distribution patterns.
Solution Approach 2:
The patent adds the axial dimension to the sensor arrangement by positioning sensors at multiple axial locations along the pipe rather than at a single location. This dimensional expansion enables the system to distinguish between surface noise and downhole events based on their different axial signal propagation characteristics, improving detection precision without requiring excessive sensors at each point.
2Measurement precision
If adaptive signal processing is applied to reduce surface noise, then measurement precision improves, but device complexity increases
Solution Approach 1:
The processor implements adaptive signal processing that continuously monitors the acoustic signals from multiple sensors and dynamically adjusts the noise reduction algorithm parameters. The system uses feedback from the measured signal characteristics to optimize the suppression of surface noise while preserving downhole event signals, achieving high measurement precision through intelligent adaptation rather than fixed complex processing.
Solution Approach 2:
The signal processing system is self-adapting, automatically learning and adjusting to the specific noise characteristics of each monitoring environment. The processor analyzes the incoming signals from multiple axial positions and autonomously optimizes the noise reduction parameters without requiring external intervention or complex pre-programming, making the system adaptable to varying operational conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively reduces surface noise interference, allowing for more reliable and sensitive detection of downhole events, improving the accuracy of fracking operations and resource allocation.
Implementation Method 1
a first plurality of sensors located a first axial position along the pipe, the first plurality of sensors oriented symmetrically about the pipe axis at the first axial position, each of the first plurality of sensors generating a corresponding signal in response to acoustic waves in a vicinity thereof
Data Source
AI summary
A system detects an acoustic-wave-producing downhole event associated with a pipe at an uphole location in the presence of surface noise. The system comprises: a first plurality of acoustic sensors located a first axial position along the pipe and oriented symmetrically about the pipe axis; and a second plurality of acoustic sensors located a second axial position along the pipe and oriented symmetrically about the pipe axis, the second axial position spaced apart from the first axial position. A processor is connected to receive the signals from the first and second pluralities of sensors and configured to process the sensor signals to thereby produce an output signal. The processor is configured to adjust the digital processing, based on the sensor signals, to minimize a contribution of the surface noise to the output signal.