CN-121980131-A - Dynamic prediction method for water inflow of continuous mining of coal mine based on attenuation coefficient

CN121980131ACN 121980131 ACN121980131 ACN 121980131ACN-121980131-A

Abstract

The invention discloses a dynamic prediction method of water inflow of continuous coal mining based on an attenuation coefficient, which belongs to the field of water damage prevention and control of coal mining; the method comprises the steps of determining goaf water inflow attenuation coefficients based on water inflow monitoring data, obtaining hydrogeologic parameters of a plurality of working surfaces to be predicted, calculating goaf predicted normal water inflow of each working surface to be predicted by adopting a water collecting gallery method based on the hydrogeologic parameters, and carrying out weighted summation on the goaf predicted normal water inflow of the plurality of working surfaces to be predicted based on the goaf water inflow attenuation coefficients and a coal mine continuous exploitation plan to obtain an integral normal water inflow prediction result of the goaf formed by coal mine continuous exploitation.

Inventors

YANG ZHI
LI WENPING
LIU XIAOYANG
Ye Yangmin

Assignees

中国矿业大学

Dates

Publication Date: 20260505
Application Date: 20260126

Claims (7)

1. The dynamic prediction method for the water inflow of continuous mining of the coal mine based on the attenuation coefficient is characterized by comprising the following steps of: Collecting water inflow monitoring data after the stoping of the first mining working face is finished; Determining a goaf water inflow attenuation coefficient based on the water inflow monitoring data; Acquiring hydrogeologic parameters of a plurality of working surfaces to be predicted, and calculating the estimated normal water inflow of the goaf of each working surface to be predicted by adopting a water collecting gallery method based on the hydrogeologic parameters; and carrying out weighted summation on the predicted normal water inflow of the goaf of the working surfaces to be predicted based on the goaf water inflow attenuation coefficient and the coal mine continuous exploitation plan to obtain the whole normal water inflow prediction result of the goaf formed by the coal mine continuous exploitation.
2. The method for dynamically predicting the water inflow of continuous mining of a coal mine based on the attenuation coefficient as set forth in claim 1, wherein the process of determining the goaf water inflow attenuation coefficient based on the water inflow monitoring data comprises: Periodically dividing water inflow monitoring data based on the stoping day of the first mining working face; Performing linear fitting on water inflow data of each period to obtain a slope of a fitting line; and calculating the goaf water inflow attenuation coefficient based on the slope of the fitting line.
3. The method for dynamically predicting the water inflow of continuous mining of a coal mine based on an attenuation coefficient according to claim 2, wherein the attenuation coefficient of the corresponding period and the subsequent period is assigned to be 1 when the absolute value of the slope of the fitting line is less than or equal to 0.05.
4. The method for dynamically predicting the water inflow of continuous mining of a coal mine based on an attenuation coefficient as set forth in claim 1, wherein the hydrogeologic parameters include permeability coefficient, aquifer thickness, water column height, goaf length and goaf width.
5. The method for dynamically predicting the water inflow of continuous mining of coal mine based on attenuation coefficients as set forth in claim 4, wherein the expression for calculating the permeability coefficients is: ; Wherein K is the permeability coefficient, R 0 is the reference influence radius, R 0 is the reference aperture, Q is the predicted normal water inflow of the goaf, H is the height of the water column, H is the height of the residual water column, and M is the thickness of the aquifer.
6. The dynamic prediction method for the inflow amount of continuous mining of a coal mine based on an attenuation coefficient according to claim 4, wherein the expression used for calculating the predicted normal inflow amount of the goaf by adopting a water collecting gallery method is as follows: ; Wherein Q is the predicted normal water inflow of the goaf, K is the permeability coefficient, H is the height of the water column, H is the height of the residual water column, M is the thickness of the aquifer, B is the length of the water collecting gallery, and R is the influence radius.
7. The method for dynamically predicting the water inflow of continuous mining of a coal mine based on an attenuation coefficient according to claim 1, wherein the expression for calculating the overall normal water inflow prediction result is as follows: Q=Q 1* α 1* α 2…* α m…* α n +Q 2* α 1* α 2…… α n-1 +……+Q n-1* α 1 +Q n ; Wherein Q is the overall normal water inflow prediction result, Q 1 is the predicted normal water inflow of the goaf after the first working face is mined, Q 2 is the predicted normal water inflow of the goaf after the first working face is mined, Q n is the normal water inflow of the goaf on the stoping face, alpha 1 is the attenuation coefficient of the water inflow of the goaf in the first period, alpha m is the attenuation coefficient of the water inflow of the goaf in the m period, and alpha n is the attenuation coefficient of the water inflow of the goaf in the n period.

Description

Dynamic prediction method for water inflow of continuous mining of coal mine based on attenuation coefficient Technical Field The invention belongs to the technical field of water damage control in coal mining, and particularly relates to a dynamic prediction method for water inflow of continuous mining of a coal mine based on an attenuation coefficient. Background When the existing coal mine working face continues to mine normal water inflow is predicted, as the working face is continuously increased, the working face is developed in the early stage, because the stope is finished, the water inflow of the working face is obviously attenuated and tends to be stable, however, the whole mine normal water inflow prediction still takes the whole goaf range as a calculation area, and the problem of goaf water inflow attenuation of a working face is not considered, so that the whole mine normal water inflow prediction result is obviously larger than the actual result. How to accurately predict the roof water inflow of the goaf becomes the key of the effective layout of the coal mine drainage system and the roof water damage prevention and control work. Therefore, the invention provides a dynamic prediction method for the water inflow of continuous mining of the coal mine based on the attenuation coefficient. Disclosure of Invention In order to solve the technical problems, the invention provides a dynamic prediction method for the water inflow of continuous mining of a coal mine based on an attenuation coefficient, which aims to solve the problems in the prior art. In order to achieve the above purpose, the invention provides a dynamic prediction method for water inflow of continuous mining of coal mines based on attenuation coefficients, which comprises the following steps: Collecting water inflow monitoring data after the stoping of the first mining working face is finished; Determining a goaf water inflow attenuation coefficient based on the water inflow monitoring data; Acquiring hydrogeologic parameters of a plurality of working surfaces to be predicted, and calculating the estimated normal water inflow of the goaf of each working surface to be predicted by adopting a water collecting gallery method based on the hydrogeologic parameters; and carrying out weighted summation on the predicted normal water inflow of the goaf of the working surfaces to be predicted based on the goaf water inflow attenuation coefficient and the coal mine continuous exploitation plan to obtain the whole normal water inflow prediction result of the goaf formed by the coal mine continuous exploitation. Optionally, the process of determining the goaf water inflow attenuation coefficient based on the water inflow monitoring data comprises the following steps: Periodically dividing water inflow monitoring data based on the stoping day of the first mining working face; Performing linear fitting on water inflow data of each period to obtain a slope of a fitting line; and calculating the goaf water inflow attenuation coefficient based on the slope of the fitting line. Optionally, when the absolute value of the slope of the fitting line is less than or equal to 0.05, the attenuation coefficient of the corresponding period and the subsequent period is assigned to 1. Optionally, the hydrogeologic parameters include permeability coefficient, aquifer thickness, water column height, goaf length, and goaf width. Optionally, the expression for calculating the permeability coefficient is: ; Wherein K is the permeability coefficient, R 0 is the reference influence radius, R 0 is the reference aperture, Q is the predicted normal water inflow of the goaf, H is the height of the water column, H is the height of the residual water column, and M is the thickness of the aquifer. Optionally, an expression adopted for calculating the predicted normal water inflow of the goaf by adopting a water collecting gallery method is as follows: ; Wherein Q is the predicted normal water inflow of the goaf, K is the permeability coefficient, H is the height of the water column, H is the height of the residual water column, M is the thickness of the aquifer, B is the length of the water collecting gallery, and R is the influence radius. Optionally, the expression for calculating the overall normal water inflow prediction result is: Q=Q1*α1*α2…*αm…*αn+Q2*α1*α2……αn-1+……+Qn-1*α1 +Qn; Wherein Q is the overall normal water inflow prediction result, Q 1 is the predicted normal water inflow of the goaf after the first working face is mined, Q 2 is the predicted normal water inflow of the goaf after the first working face is mined, Q n is the normal water inflow of the goaf on the stoping face, alpha 1 is the attenuation coefficient of the water inflow of the goaf in the first period, alpha m is the attenuation coefficient of the water inflow of the goaf in the m period, and alpha n is the attenuation coefficient of the water inflow of the goaf in the n period. Compared with the