Multi-mode Dispersion Energy Imaging for Marine Interface Waves
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Solution Overview
Problem
Current marine seismic exploration methods face challenges in acquiring high signal-to-noise ratio converted-wave data and effectively imaging multi-mode dispersion curves, particularly in shallow sedimentary strata with slow shear wave velocities, as they primarily utilize single marine interface waves and lack joint imaging of Scholte and acoustic guided waves.
Innovation Solution
A multi-mode dispersion energy imaging method for a four-component ocean bottom seismometer that acquires and processes data from both three-component Scholte waves and one-component acoustic guided waves, superposing and normalizing their dispersion energy spectra to generate comprehensive marine interface wave dispersion energy maps, enhancing the extraction of high-mode dispersion curves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional shear wave analysis method is used, then the analysis process is simple, but the signal-to-noise ratio of converted-wave data is low
Solution Approach 1:
The patent combines Scholte wave and acoustic guided wave analysis into a unified dispersion energy imaging framework. By merging these two different wave types and using four-component seismometer data (three-component seismometer plus hydrophone), the method integrates multiple wavefields to improve signal-to-noise ratio while maintaining systematic analysis complexity
2Quantity of substance
If only one marine interface wave is used for dispersion energy imaging, then the imaging process is simple, but the number of dispersion curves is limited
Solution Approach 1:
The patent merges Scholte wave dispersion energy imaging with acoustic guided wave dispersion energy imaging into a joint imaging framework. This combination uses data from three-component seismometers for Scholte waves and hydrophones for acoustic guided waves, producing combined dispersion energy spectra that reveal multiple high-mode dispersion curves not visible in single-wave analysis
Solution Approach 2:
The patent implements a multi-functional imaging system that processes both Scholte wave and acoustic guided wave data through the same dispersion energy imaging framework. The four-component marine interface wave instrument serves multiple functions: recording Scholte waves with three-component seismometers, recording acoustic guided waves with hydrophones, and enabling joint dispersion energy imaging of both wave types
3Loss of information
If vertical Scholte wave only is used, then the data processing is simple, but the dispersion curve information is incomplete
Solution Approach 1:
The patent extends the analysis from single vertical component to three-component seismometer data, adding horizontal component dimensions. This dimensional expansion enables extraction of both Scholte wave and acoustic guided wave dispersion energy from multiple recording directions, providing more complete dispersion curve information including high-mode curves
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 method significantly increases the resolution and depth of shear wave velocity inversion models by providing more constraints through the joint imaging of Scholte and acoustic guided waves, promoting the development of marine interface wave detection technology.
Implementation Method 1
calculating a dispersion energy spectrum of the common receiving point gather by using a phase shifting method
Data Source
AI summary
The present invention provides a multi-mode dispersion energy imaging device and method for a four-component marine interface wave of an ocean bottom seismometer, belonging to the technical field of marine seismic exploration. The method includes the following steps: designing an marine interface wave artificial seismic observation system, designing a reasonable observation system according to the geological condition of the operation area to ensure the resolution of the imaging to perform the marine artificial source seismic operation carrying out the data preprocessing of the seafloor surface wave, and then carrying out the three-component seismometer Scholte wave and the acoustic guided wave dispersion energy imaging, and the one-component hydrophone acoustic guided wave dispersion energy imaging; superposing and normalizing the three-component Scholte wave dispersion energy spectrum and the one-component acoustic guided wave dispersion energy spectrum. The device is implemented based on the method above.