The data obtained from the simulation experiments of identifying the acoustic characteristics of shallow geological hazards conducted in Beijing in 2017 and 2018 includes observation elements such as pressure, porosity, density, and acoustic velocity. This data element includes shallow gas, shallow water flow, and natural gas hydrates. Shallow gas contains: shallow gas pressure, longitudinal wave velocity, confining pressure, density, porosity, and particle size; In shallow water flow, there are: shallow water flow pressure, longitudinal wave velocity, confining pressure, density, porosity, and particle size; Natural gas hydrates contain: saltwater saturation, hydrate sample length, hydrate conversion rate, hydrate saturation, longitudinal wave velocity, temperature, and pressure. The data resource collection time range is from June 1, 2017 to December 30, 2018. The acoustic detection system is used to measure the propagation speed of longitudinal waves in normal formations, shallow gas of different pressure levels, and natural gas hydrates of different saturation levels to establish a shallow geological hazard acoustic prediction model.
collect time | 2017/06/01 - 2018/12/30 |
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collect place | Beijing city |
data size | 44.8 KiB |
data format | Excel |
Coordinate system |
Experimental experiments, independently generated.
The experimental setup mainly consists of a high-pressure and low-temperature reaction vessel capable of simulating -30 ℃ and 30MPa, an implantable controllable pressure sealed airbag, a low-temperature constant temperature water bath system, a confining pressure control system, an injection and supply system, an acoustic detection system, and a data acquisition and processing system. Using PT100 platinum resistance temperature sensor to measure the temperature field distribution inside the reaction kettle, with a range of -30 ℃~100 ℃ and an accuracy of 0.25% FS; arranging three pressure measuring points to measure the pressure inside the reaction kettle, with a range of 0~30MPa and an accuracy of 0.1% FS. Simulating the overpressure environment of shallow gas, the high-pressure gas flowmeter has a boosting range of 0~10MPa, a flow rate of 0~2000mL/min, and a control accuracy of 0.2% FS. The hardware of the acoustic detection system mainly consists of acoustic transducers, single pulse acoustic emission cards, and data acquisition cards. The transducer used in the experiment is a piezoelectric composite material with pressure resistance and waterproof sealing performance. The longitudinal wave transducer has frequencies of 200kHz and 500kHz.
The data quality is good.
# | number | name | type |
1 | 2016YFC0303300 | National key R & D plan |
# | title | file size |
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1 | _ncdc_meta_.json | 4.7 KiB |
2 | 数据实体1-浅层地质灾害声波特征识别实验数据集.xlsx | 20.7 KiB |
3 | 浅层地质灾害声波特征识别实验数据集_说明文档.docx | 24.1 KiB |
Shallow gas gas hydrate saturation porosity density water cut pressure acoustic velocity
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