Coal seam impact risk real-time evaluation method based on measurement while drilling technology

Abstract

The invention discloses a coal seam impact risk real-time evaluation method based on a measurement while drilling technology. The method comprises the following steps of synchronously acquiring drilling parameters and drilling cutting quantity data of a drilling machine as sample data while drilling a coal body; establishing a multiple linear regression model, a neural network model and an optimized neural network prediction model; using drilling parameters as input of a prediction model and drilling cuttings as output, comparing and selecting an optimal model as a final prediction model, andautomatically updating the final prediction model to a field construction mobile terminal and an overground computer terminal; when daily impact risk assessment is carried out on a coal seam, analyzing drilling parameters acquired from a pre-assessed coal body automatically by utilizing a final prediction model, so that impact risk assessment is carried out on the coal body. According to the method, the collection work of the drilling cuttings is reduced, the impact risk evaluation procedure of the coal body is greatly simplified, the evaluation time is shortened, and the evaluation cost is reduced.

Description

Technical field [0001] The invention relates to the field of evaluation of rock bursts in mining engineering, in particular to a real-time evaluation method of coal seam shock hazard based on measurement while drilling 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. The proportion of coal will remain at about 50% for a long time, and about 95% of coal mining will be mainly underground. At present, coal mining extends to the depths at a rate of 10-20m per year. Deep mining has gradually become the norm in the central and eastern regions. With the increase in mining depth, coal seams face the effects of high gas, high ground stress, and high karst water pressure. The stress field of the coal seam is extremely complex and is affected by repeated disturbances, and it is prone to rock bursts. After years of development in my country's rockburst disaster prevention techno...

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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