scholarly journals Experimental Study on Comprehensive Real-Time Methods to Determine Geological Condition of Rock Mass along the Boreholes while Drilling in Underground Coal Mines

2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Ganggang Niu ◽  
Kai Zhang ◽  
Bosong Yu ◽  
Yanlong Chen ◽  
Yu Wu ◽  
...  

The geological condition is essential for mining design and disaster control in underground coal mines. The present research focuses on the real-time assessment method on rock mass condition during drilling boreholes. In situ comprehensive experiments were carried out using three methods, which are measurement while drilling (MWD) system, vibration measurement while drilling (VMWD) system, and borehole camera detecting system. In the MWD system, the operating parameters of the drilling machine were recorded, and a dimensionless index Id based on the collected parameters was adopted to assess the geological condition along the borehole. The results show that the state of rock mass can be well classified using the MWD system for both the cross-layer and in-seam boreholes. In the VMWD system, the vibration of the drilling bit was monitored, and the signal was analyzed in both time domain and frequency domain. The results indicate that the rock mass condition can be quantitatively evaluated using the mean square value of the signal and qualitatively estimated using the energy of the spectrum. In the borehole camera system, the photos of the rock mass along the borehole could be well captured, and the identified rock mass condition was used to verify the results of the MWD and VMWD systems. Comprehensive compassion between the results from the three systems shows that all the methods can give valuable information for the geological condition, and the outcomes of the different methods are generally comparable. For practical purposes, the advantages of the involved three detecting systems are discussed.

2020 ◽  
Vol 11 (2) ◽  
pp. 45-65
Author(s):  
Urmila Shrawankar ◽  
Rahul Neware ◽  
Pranay Mangulkar

This article focuses on the hazardous conditions prevailing in underground coal mines and the decision to prohibit entry, when conditions are adverse. Thus, the ongoing observation framework is helpful for ascertaining the conditions for working in underground coal mines and for essential safety and well-being measures. The advancements in WSN lead to advancements in wireless communications. The various sensors are deployed at the location and sense the environment and provide recent activities of the underground coal mines. The sensors transmit the procured information to the base station, principally the A-D transformation. The sensors can be considered a hub to the base station. Wireless transmission is used to send the data to the user. The designed hardware and software systems are used for the identification of the parameters and as per the thresholds, the decision and the prohibition of workers before entering into the mine is decided. The ML system helps in checking the favorable conditions for working in underground mines. While experimenting, real-time sensor generated data is used.


2020 ◽  
Vol 165 ◽  
pp. 03031
Author(s):  
Chen Long ◽  
Chen Gang

In view of the problems that the existing gamma logging instruments in coal mines can only carry out static fixed-point measurement and are not suitable for rotary drilling, this paper, based on the analysis of the characteristics of measurement while drilling in coal mines and the principle of gamma logging, designs and realizes the dynamic gamma azimuth instruments for mines by means of power line carrier, rotation positioning and gamma measurement technology, which can measure the intensity of natural gamma ray in two directions around the borehole in real time, effectively reflect the changes of different radioactive strata, and guide the geosteering while drilling in coal mine.


2018 ◽  
Vol 269 ◽  
pp. 212-217 ◽  
Author(s):  
P.K. Mishra ◽  
Pratik ◽  
Manish Kumar ◽  
Subhash Kumar ◽  
P.K. Mandal

2016 ◽  
Vol 37 (12) ◽  
Author(s):  
Manoj Khanal ◽  
Ron McPhee ◽  
Bharath Belle ◽  
Peter Brisbane ◽  
Bevan Kathage

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Avinash Paul ◽  
V. M. S. R. Murthy ◽  
Ajoy Kumar Singh

Rock mass rating (RMR) plays important role in design and selection of support system (Ghosh, 2000). For stability assessment of rock mass it is very important to know the amount of rock load mobilized around the development gallery which is estimated using RMR (Singh et al., 2003, Barton et al., 1974, Bieniawski, 1984, and Ghosh et al., 1992). In Indian coal mines, Central Mining Research Institute-Indian School of Mines rock mass rating (herein after referred to as CMRI-ISM RMR) is mostly used for formulating design guidelines for supports. In this paper an attempt has been made to correlate CMRI-ISM RMR values and rock load of galleries and junctions for different gallery widths, ranging from 3.6 m to 4.8 m, at different densities of roof rocks. The proposed empirical expression can help in quick design of support system for underground coal mines working in the same regime.


2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Byung Wan Jo ◽  
Rana Muhammad Asad Khan ◽  
Yun Sung Lee ◽  
Jun Ho Jo ◽  
Nadia Saleem

Accurate sensing is the key to structural health monitoring of underground coal mines while using fiber Bragg grating (FBG) sensors. However, the previously developed systems for structural monitoring of underground mines have been limited to monitoring without any capability of damage detection. Therefore, this study integrates a highly accurate FBG monitoring system and output-only data-driven approaches on an Internet of things (IoT)-based platform to develop a comprehensive mine structural safety system. This system relies on a Web 2.0 main server that runs data acquisition, data processing, and damage detection algorithms along with real-time information sharing at remote locations. This system was successfully implemented at the Hassan Kishore coal mine, situated in the Salt Range of Pakistan. Wavelength division multiplexing of the FBG strain sensors reliably captured the effects of dynamic and continuous coal excavation on the stability of mine roadway and access galleries. Principal component analysis, along with hierarchical clustering, was used to determine the damage indicator of the mine. The damage index was validated, showing the minimum value for 2% stiffness reduction. Thus, integration of FBG technology with the Internet can be effectively applied for early safety assessment of underground coal mines and information sharing in real time.


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