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Discussion papers
https://doi.org/10.5194/gi-2018-51
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-2018-51
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 29 Apr 2019

Research article | 29 Apr 2019

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Geoscientific Instrumentation, Methods and Data Systems (GI) and is expected to appear here in due course.

Development of a distributed hybrid seismic-electrical data acquisition system based on NB-IoT technology

Wenhao Li1, Qisheng Zhang1, Qimao Zhang2, Feng Guo1, Shuaiqing Qiao1, Shiyang Liu1, Yueyun Luo1, Yuefeng Niu1, and Xing Heng1 Wenhao Li et al.
  • 1School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, China
  • 2Institute of Electronics, Chinese Academy of Sciences, Beijing, China

Abstract. The non-uniqueness of geophysical inversions, which is based on a single geophysical method, is a long-standing problem in geophysical exploration. Therefore, multi-method geophysical prospecting has become a popular topic. In multi-method geophysical prospecting, the joint inversion of seismic and electric data has been extensively researched for decades. However, the methods used for hybrid seismic-electric data acquisition that form the base for multi-method geophysical prospecting techniques, have not yet been explored in detail. In this work, we developed a distributed, high-precision, and hybrid seismic-electrical data acquisition system using advanced Narrow Band-Internet of Things (NB-IoT) technology. The system was equipped with hybrid data acquisition board, a high-performance embedded motherboard based on field-programmable gate array and advanced RISC machine, and host software. The data acquisition board used an ADS1278 24-bit analog-to-digital converter and FPGA-based digital filtering techniques to perform high-precision data acquisition. The equivalent input noise of the data acquisition board was only 0.5 µV with a sampling rate of 1000 samples-per-second and front-end gain of 40 dB. The multiple data acquisition stations of our system were synchronized using oven-controlled crystal oscillators and global positioning system technologies. Consequently, the clock frequency error of the system was less than 10−9 Hz @ 1 Hz after calibration, and the synchronization accuracy of the data acquisition stations was ±200 ns. The use of sophisticated NB-IoT technologies allowed the long-distance wireless communication between control center and data acquisition stations. In validation experiments, it was found that our system was operationally stable and reliable, produced highly accurate data, and functionally flexible and convenient. Furthermore, using this system, it is also possible to monitor the real-time quality of data acquisition processes. We believe that the results obtained in this study will drive the advancement of prospective integrated seismic-electrical technologies and promote the use of IoT technologies in geophysical instrumentation.

Wenhao Li et al.
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Wenhao Li et al.
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Short summary
The non-uniqueness of geophysical inversions, which is based on a single geophysical method, is a long-standing problem in geophysical exploration. This paper developed a distributed, multi-channel, and high-precision data acquisition system. It can achieve high-precision hybrid acquisition of seismic-electrical data and monitor the real-time quality of data acquisition processes using NB-IoT technology. The equivalent input noise is 0.5 µV and the synchronization accuracy is within 200 ns.
The non-uniqueness of geophysical inversions, which is based on a single geophysical method, is...
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