Streamer Vibration Noise Suppression via Dispersion Curve Filtering
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Solution Overview
Problem
Seismic surveys in marine environments face challenges in suppressing vibration noise in seismic data acquired by towed sensors, which can be several orders of magnitude stronger than the signal of interest, due to the constant excitation of water flowing around the streamer, affecting the accuracy of hydrocarbon deposit detection.
Innovation Solution
A technique using a filter with filtering parameters based on a dispersion curve for at least one vibration mode of a streamer is employed to suppress vibration noise in measurements acquired by sensors, by determining the dispersion curve relationship between resonance frequency and wavenumber of vibration noise and applying demodulation, low-pass filtering, and modulation processes to isolate and remove the noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional seismic survey methods are used in marine environments, then seismic data can be acquired, but vibration noise from water flow excitation becomes several orders of magnitude stronger than the signal of interest
Solution Approach 1:
The patent applies dispersion curve-based filtering to convert the harmful vibration noise into a removable component. By characterizing the noise through dispersion curves that describe the relationship between frequency and wavenumber for different vibration modes, the system identifies and extracts noise components in the frequency-wavenumber domain, then subtracts them to recover the seismic signal with significantly improved signal-to-noise ratio
Solution Approach 2:
The patent transforms the seismic data from the time-space domain to the frequency-wavenumber domain through Fourier transformation. This parameter change allows selective filtering based on dispersion curve characteristics, where filtering parameters are adjusted according to the identified vibration modes. The transformation enables precise control over which frequency-wavenumber components are removed while preserving the seismic signal
2Measurement precision
If dispersion curve-based filtering is applied to remove vibration noise, then noise suppression effectiveness improves, but processing complexity increases due to demodulation, low-pass filtering, and modulation processes
Solution Approach 1:
The patent segments the vibration noise into distinct modes based on their dispersion curve characteristics. Each vibration mode is identified and processed separately through mode-specific filtering operations. This segmentation allows the complex noise suppression task to be divided into manageable steps: identifying individual vibration modes, applying appropriate filters to each mode, and combining the results
Solution Approach 2:
The patent introduces the frequency-wavenumber domain as an intermediary representation between the raw seismic data and the final processed output. This intermediate domain provides a convenient framework for applying dispersion curve-based filtering, where the relationship between frequency and wavenumber makes it easier to identify and remove vibration noise components without directly manipulating the time-domain signal
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 effectively reduces vibration noise in seismic data, enhancing the accuracy of hydrocarbon deposit detection by isolating and subtracting noise components, thereby improving the quality of seismic data acquired during marine seismic surveys.
Implementation Method 1
filtering parameters based at least in part on a dispersion curve for at least one vibration mode of a streamer
Implementation Method 2
suppress vibration noise present in the measurement
Data Source
AI summary
A technique includes using a filter having filtering parameters based at least in part on a dispersion curve of at least one vibration mode of a streamer to filter a measurement acquired by at least one sensor of the streamer and using results of the filtering to suppress vibration noise present in the measurement.