Research on velocity and acceleration geophones and their acquired information

Liu, Zhendong; Lü, Qingtian; Chen, Ming-Chun

doi:10.1007/s11770-012-0324-6

Cited by 11 publications

(3 citation statements)

References 13 publications

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“…Due to the high resonance frequency and low sensitivity of the central compressed model, its sensitivity is relatively stable within 1–1000 Hz, while the sensitivity of the simply supported beam increases as the frequency. Seismic wave signals have a loss in the process of propagation, and the higher the frequency of the seismic wave combines the greater the amplitude attenuation [ 34 ]. The sensitivity of the piezoelectric simply supported beam model increases with the increase of frequency under a certain acceleration, which can compensate for the attenuation of the seismic wave amplitude with frequency to a certain extent.…”

Section: Design and Implementationmentioning

confidence: 99%

A Seismic Data Acquisition System Based on Wireless Network Transmission

Huang

Song

et al. 2021

Sensors

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A seismic data acquisition system based on wireless network transmission is designed to improve the low-frequency response and low sensitivity of the existing acquisition system. The system comprises of a piezoelectric transducer, a high-resolution data acquisition system, and a wireless communication module. A seismic piezoelectric transducer based on a piezoelectric simply supported beam using PMN-PT is proposed. High sensitivity is obtained by using a new piezoelectric material PMN-PT, and a simply supported beam matching with the PMN-PT wafer is designed, which can provide a good low-frequency response. The data acquisition system includes an electronic circuit for charge conversion, filtering, and amplification, an FPGA, and a 24-bit analog-to-digital converter (ADC). The wireless communication was based on the ZigBee modules and the WiFi modules. The experimental results show that the application of the piezoelectric simply supported beam based on PMN-PT can effectively improve the sensitivity of the piezoelectric accelerometer by more than 190%, compared with the traditional PZT material. At low frequencies, the fidelity of the PMN-PT piezoelectric simply supported beam is better than that of a traditional central compressed model, which is an effective expansion of the bandwidth to the low-frequency region. The charge conversion, filtering, amplification, and digitization of the output signal of the piezoelectric transducer are processed and, finally, are wirelessly transmitted to the monitoring centre, achieving the design of a seismic data acquisition system based on wireless transmission.

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Section: Design and Implementationmentioning

confidence: 99%

A Seismic Data Acquisition System Based on Wireless Network Transmission

Huang

Song

et al. 2021

Sensors

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“…With the growing complexity of seismic exploration in oil and gas field, the requirements for technical parameters of seismic signal such as precision, spatial resolution and frequency bandwidth are increasingly rapidly [1] . Traditional electrical seismometers, including moving coil, piezoelectric, MEMS, etc., have gradually become inadequate for sensing tasks under harsh conditions with their inherent shortcomings [2] . On the strength of the rapid development of optical fiber sensing technology, fiber optic accelerometers stand out for their distinct advantages: integrated structure, ultra-high sensitivity, high resolution, wide working bandwidth, large dynamic range, high signal integrity and fidelity, electromagnetic immunity, corrosion resistance, high temperature/ high pressure resistance, etc.…”

Section: Introductionmentioning

confidence: 99%

FBG seismometer optimized by genetic algorithm to realize 3-axis vibration detection using one fiber without bending

Guo,

Song,

Sha

et al. 2024

Preprint

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We propose a 3-axis FBG seismometer in which the X- and Y-axis hinge structures are optimized and designed by genetic algorithm to precisely modulate their sensitivity and resonant frequency, thence possess basically the same vibration characteristics with the pre-fabricated spring structure that responsible for Z-axis vibration detection. Sensors on three axes operate in a frequency band of 20-90 Hz, the sensitivities of the proposed accelerometer in X,Y and Z directions are 401.088 pm/g, 413.580 pm/g and 402.075 pm/g respectively. Such application of algorithm enables our seismometer to realize quasi-distributed 3-dimensional vibration detection using one single fiber without bending, which will significantly reduce the diameter of the seismometer, eliminate the bending loss and broaden its application scenario.

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“…However, the acceleration signal has a wider frequency band than the velocity signal, which improves seismic resolution (Denis, 2004;Zhang et al, 2020). In addition, some researchers have shown that the acceleration signal has little waveform distortion, high signal-to-noise ratio (SNR), and fidelity (Lansley et al, 2008;Liu et al, 2012;Bai et al, 2014). By comparing the frequency band information of different signals in the same domain, Ren (2018) proposed that the velocity signal has more information in the low-frequency region than the acceleration signal, and the acceleration signal has more information in the high-frequency region than the velocity signal.…”

Section: Introductionmentioning

confidence: 99%

Joint denoising method of seismic velocity signal and acceleration signals based on independent component analysis

Zhang

et al. 2023

Front. Earth Sci.

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The signal-to-noise ratio (SNR) of seismic data is the key to seismic data processing, and it also directly affects interpretation of seismic data results. The conventional denoising method, independent variable analysis, uses adjacent traces for processing. However, this method has problems, such as the destruction of effective signals. The widespread use of velocity and acceleration geophones in seismic exploration makes it possible to obtain different types of signals from the same geological target, which is fundamental to the joint denoising of these two types of signals. In this study, we propose a joint denoising method using seismic velocity and acceleration signals. This method selects the same trace of velocity and acceleration signal for Independent Component Analysis (ICA) to obtain the independent initial effective signal and separation noise. Subsequently, the obtained effective signal and noise are used as the prior information for a Kalman filter, and the final joint denoising results are obtained. This method combines the advantages of low-frequency seismic velocity signals and high-frequency and high-resolution acceleration signals. Simultaneously, this method overcomes the problem of inconsistent stratigraphic reflection caused by the large spacing between adjacent traces, and improves the SNR of the seismic data. In a model data test and in field data from a work area in the Shengli Oilfield, the method increases the dominate frequency of the signal from 20 to 40 Hz. The time resolution was increased from 8.5 to 6.8 ms. The test results showed that the joint denoising method based on seismic velocity and acceleration signals can better improve the dominate frequency and time resolution of actual seismic data.

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Research on velocity and acceleration geophones and their acquired information

Cited by 11 publications

References 13 publications

A Seismic Data Acquisition System Based on Wireless Network Transmission

A Seismic Data Acquisition System Based on Wireless Network Transmission

FBG seismometer optimized by genetic algorithm to realize 3-axis vibration detection using one fiber without bending

Joint denoising method of seismic velocity signal and acceleration signals based on independent component analysis

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