Real-time assessment method of coal seam impact hazard based on measurement-while-drilling technology

Abstract

The invention discloses a real-time assessment method of coal seam impact risk based on measurement-while-drilling technology, which uses the drilling parameters and cuttings volume data of the drilling rig to be collected synchronously while drilling the coal body as sample data, and establishes a multivariate linear Regression model, neural network model and optimized neural network prediction model, the drilling parameters are used as the input of the prediction model, and the amount of drilling cuttings is used as the output, and the optimal model is selected as the final prediction model and automatically updated to the on-site construction mobile terminal and The computer terminal on the ground, in the daily impact risk assessment of the coal seam, uses the final prediction model to automatically analyze the drilling parameters collected from the pre-evaluated coal mass, so as to assess the impact risk of the coal mass; The invention reduces the work of collecting drilling cuttings, greatly simplifies the impact risk assessment procedure of the coal body, shortens the assessment time and reduces the assessment cost.

Description

Technical field [0001] The present invention relates to the field of mining engineering impact ground pressure assessment, and more particularly to a real-time assessment method of coal seam impact based on a drill measurement technology. Background technique [0002] From the perspective of energy demand, my country's coal-based energy pattern will not change in a short period of time, and the proportion of coal will remain at about 50% over a long time, and the coal mining is around 95%. At present, coal mining extends to deep at a rate of 10-20m per year, and deep mining in the Middle East has gradually become normal. With the increase in mining depth, the coal seam faces high mills, highland stress, high rock water pressure, while mining Abnormal complicated coal seam stress field and is affected by repeated disturbances, and it is easy to impact ground pressure. After years of impacting ground disaster prevention technology, the physical mechanical mechanics characteristics ...

AI Technical Summary

Problems solved by technology

Compared with the traditional cuttings method, this method is different in that the auxiliary parameters in the cuttings method (suction drill, drill sticking and drilling impact phenomenon) are digitized, which improves the accuracy of rock burst prediction to a certain extent, but Also there is following defect, the one, when predicting rock burst, still need to carry out the collection work of pulverized coal amount to each borehole, need to drill hundreds or even thousands of boreholes for each mining face or excavation face, The collection of this kind of pulverized coal greatly reduces the efficiency of rockburst prediction; second, due to the manual processing of vibration data, the processing results have large errors, low efficiency, and poor timeliness; Domain analysis and other methods are preprocessed to obtain vibration indicators (dimensionless amplitude domain parameters). The process is complex, which increases the difficulty of obtaining sample data; in addition, the acquisition of vibration signals is easily affected by the environmental noise of the work site, which affects the final prediction accuracy.

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