Distributed Acoustic Sensing Resonant Noise Reduction
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Solution Overview
Problem
Resonant noise in seismic data from distributed acoustic sensing systems hinders the analysis of rock properties in geologic formations, affecting hydrocarbon extraction operations such as drilling, fracturing, and pumping.
Innovation Solution
The implementation of a computer system that reduces resonant noise in seismic data by identifying and adjusting signal amplitudes in both time and frequency domains, using techniques like muting and amplitude balancing, to generate noise-reduced seismic profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distributed acoustic sensing is used to detect seismic waves, then spatial detection capability is improved, but resonant noise artifacts are generated
Solution Approach 1:
The patent extracts and removes resonant noise artifacts from seismic data through signal processing techniques. The system identifies resonant noise components in the frequency domain and selectively removes them while preserving the underlying seismic signal, thereby eliminating the harmful artifacts generated by the DAS system itself.
Solution Approach 2:
The patent introduces an intermediary signal processing system that mediates between the raw seismic data containing resonant noise and the final processed data. This intermediary processing stage applies frequency domain analysis and filtering to separate the harmful resonant noise from the useful seismic information.
2Ease of manufacture
If resonant noise is present in seismic data, then data acquisition is simplified, but data analysis quality deteriorates
Solution Approach 1:
The patent applies preliminary signal processing actions to the seismic data immediately after acquisition. By performing frequency domain transformation and resonant noise removal before detailed analysis, the system prepares clean data for subsequent interpretation, ensuring high analysis quality without complicating the acquisition process.
3Measurement precision
If signal processing is applied to reduce resonant noise, then data quality is improved, but processing complexity increases
Solution Approach 1:
The patent applies partial signal processing by focusing specifically on removing resonant noise components rather than performing comprehensive signal processing on all aspects of the data. This targeted approach improves data quality by addressing the specific harmful artifacts while avoiding unnecessary processing complexity.
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
This approach improves the quality of seismic data, enabling more accurate determination of rock properties and facilitating hydrocarbon recovery operations by minimizing resonant noise interference.
Implementation Method 1
The DAS system typically utilizes Rayleigh backscatter of laser light energy to spatially detect deformation (often referred to as strains) distributed along the optical fibers
Implementation Method 2
transforming the seismic data from a time domain into a frequency domain, wherein transformed seismic data indicates a frequency spectrum of the seismic data
Data Source
AI summary
A distributed acoustic sensor is positioned within a wellbore of a geologic formation. Seismic waves are detected using the distributed acoustic sensor. A raw seismic profile is generated based on the detected seismic waves. Resonant noise is identified and reduced in seismic data associated with the raw seismic profile.