Boosting Signal to Noise Ratio of Seismic Signals Using the Phased-Array Vibrator System

Tao, Jiang; Lin, Jun; Li, Tonglin; Chen, Zubin; Zhang, Linhang

doi:10.1002/cjg2.993

Cited by 18 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The generation of seismic signals is illustrated in Figure 2. The control cabinet and vibroseis sources were developed at Jilin University (Jiang et al., 2008). During the signal generation process, a Bluetooth terminal, such as a mobile phone or computer, first transmits the parameter instructions of the target signal to the control cabinet.…”

Section: Methods and Principlesmentioning

confidence: 99%

Seismic communication data processing based on compressed sensing algorithm

Jiang,

Xing

2024

Geophysical Prospecting

View full text Add to dashboard Cite

Geophysical prospecting signals encompass subsurface structural information and incorporate textual messages generated in accordance with a specific pattern. These signals can be employed in places without radio access to ensure public and worker safety. Therefore, the use of seismic signals to transmit information through the earth has attracted the attention of researchers in the last decade. Presently, achievements in seismic communication are mainly in the coding, generation, and propagation of seismic signals. Little work has been done on methods to convert seismic signals generated by vibroseis sources into text and broadcast them vocally. Therefore, we built a seismic communication system with 6‐bit code using the American Standard Code for Information Interchange. To better recommend the seismic communication system scheme, the origin, state and principles of seismic communication system are illustrated in detail. Then, a seismic transmitting system is devised with a 500 N vibroseis source, which compiles seismic signals through amplitude modulation. After seismic signals propagate through the earth, they are received by geophones and recorded in seismographs. Through data acquisition based on a compression algorithm, seismic signals are converted into text and voice signals, which significantly reduces the storage and transmission of seismic data.

show abstract

Section: Methods and Principlesmentioning

confidence: 99%

Seismic communication data processing based on compressed sensing algorithm

Jiang,

Xing

2024

Geophysical Prospecting

View full text Add to dashboard Cite

show abstract

“…In order to reduce the impact of noise on seismic data, scholars have proposed many methods. Multiple coverage [1], F-X filtering [2], inverse Q filtering [3], wavelet transformation [4] and so on, are traditional denoising methods. In recent years, scholars have proposed some sparse domain denoising methods, such as fractional Fourier transform [5], curvelet transform [6], and shearlet transform [7].…”

Section: Introductionmentioning

confidence: 99%

Seismic Data Denoising Based on Sparse and Low-Rank Regularization

Yang

Liu

et al. 2020

Energies

View full text Add to dashboard Cite

Seismic denoising is a core task of seismic data processing. The quality of a denoising result directly affects data analysis, inversion, imaging and other applications. For the past ten years, there have mainly been two classes of methods for seismic denoising. One is based on the sparsity of seismic data. This kind of method can make use of the sparsity of seismic data in local area. The other is based on nonlocal self-similarity, and it can utilize the spatial information of seismic data. Sparsity and nonlocal self-similarity are important prior information. However, there is no seismic denoising method using both of them. To jointly use the sparsity and nonlocal self-similarity of seismic data, we propose a seismic denoising method using sparsity and low-rank regularization (called SD-SpaLR). Experimental results showed that the SD-SpaLR method has better performance than the conventional wavelet denoising and total variation denoising. This is because both the sparsity and the nonlocal self-similarity of seismic data are utilized in seismic denoising. This study is of significance for designing new seismic data analysis, processing and inversion methods.

show abstract

“…When we do some scan larger area survey with purpose of finding abnormal, we mainly require fast and high efficient completion of the field work, and can accurately delineate the abnormal location [8][9][10][11]. In some cases it is not necessary to use the large-scale electromagnetic devices to find low resistivity fractured zone with not too deep buried and the steep orientation.…”

Section: Introductionmentioning

confidence: 99%

Design and Application of Natural Audio Electric Field Frequency Selecting Instrument

Liao

Cheng

Bai

2011

AMM

View full text Add to dashboard Cite

An observation scheme, which is designed several frequencies suited over the natural audio electric field frequency range, is used to qualitatively understand the electrical structure of underground geological body. Weak signal detection technology has been used to amplify and filter the weak natural electric field signal, and read out them after selecting corresponding frequencies and integrating. This instrument can observe eight natural electric field signal at frequency of 8Hz, 16Hz, 32Hz, 64Hz, 128Hz, 256Hz, 512Hz, 1024Hz. Several reliable technologies have been used in the hardware design and software development to improve both the anti-interferences capability and system stability. Compared with field work instance, we conclude that natural audio electric field frequency selecting instrument can get the underground geological information within a certain depth, and therefore it can be used for fast survey in geology and mineral resources, and in engineering geophysical and water resources.Key words: Natural audio electric field, Frequency selecting instrument, magnetotelluric sounding, Observe system PrefaceGeophysical techniques and theory have developed rapidly for last century [1,2,3] . New electrical device was also emerging, and especially the geophysical equipment of electromagnetic developed faster. Advanced electromagnetic instrument pursue the perfect combination of hardware and software and wish reach the following aims: ①High resolution, high Signal noise ratio, ②Broadband, high dynamic range, ③Highly integrated, multi-functional, low-power, ④Easy to operation, light and flexible, on-site displays the results. For example, EH-4、GDP-32Ⅱ、MT-24、 V5-2000、V6、V8. When these equipments run in field, the broadband therefore can probe greater depth, and automatic operation, intelligent, high precision, and even for some equipment can be used pre-processing in real time and do 1D retrieval. So these equipments were very important for solving deep geology problems [4][5][6][7] . But such equipments are large-scale and the price is very high, and general departments cannot afford these devices.When we do some scan larger area survey with purpose of finding abnormal, we mainly require fast and high efficient completion of the field work, and can accurately delineate the abnormal location [8][9][10][11] . In some cases it is not necessary to use the large-scale electromagnetic devices to find low resistivity fractured zone with not too deep buried and the steep orientation. Author：Liao Xiuying, Female, Born in 1981，Liuyang,

show abstract

Boosting Signal to Noise Ratio of Seismic Signals Using the Phased-Array Vibrator System

Cited by 18 publications

References 11 publications

Seismic communication data processing based on compressed sensing algorithm

Seismic communication data processing based on compressed sensing algorithm

Seismic Data Denoising Based on Sparse and Low-Rank Regularization

Design and Application of Natural Audio Electric Field Frequency Selecting Instrument

Contact Info

Product

Resources

About