Study on Self-Powered Vibration Sensors for Upward Drilling in Hydraulic Fracturing of Deep Coal Mines
Source abstract
Abstract
Vibration signals generated during hydraulic fracturing drilling in coal mining are critical dynamic indicators for revealing borehole conditions and evaluating drilling efficiency and safety. However, the power supply methods of existing vibration sensors limit the practical application of this technology. To address this, this study was inspired by the African drum and developed a vibration sensor based on a triboelectric nanogenerator (TENG), enabling simultaneous measurement of vibration frequency and acceleration in a self-powered mode. Tests demonstrate that the device measures vibration frequencies from 0 to 9 Hz with an error below 3%. It achieves vibration acceleration measurements at thresholds of 1 g and 2 g with an error less than 4%. The sensor operates effectively at temperatures range of 15 °C to 75 °C and relative humidity below 90%. Additionally, the device possesses energy-harvesting capabilities, delivering a maximum power output of 72 nW at a load resistance of 1000 MΩ and a vibration frequency of 9 Hz. Unlike existing underground vibration sensors, this sensor’s high redundancy design and self-power generation features make it particularly suitable for the practical working conditions of upward drilling in coal mines.
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Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Innovative Energy Harvesting Technologies · Nonlocal and gradient elasticity in micro/nano structures
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
China Coal Technology & Engineering Group, Coal Mining Research Institute, Beijing 100013, China
Coal Mining Branch, China Coal Research Institute, Beijing 100013, China
Shaanxi Shaanxi Coal Caojiatan Mining Co., Ltd., Yulin 719100, China
Faculty of Mechanical and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China
Funding
National Key Research and Development Program of China · CNPC Innovation Fund
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