Method for predicting spontaneous combustion danger in gas extraction boreholes

A prediction method and gas drainage technology, which is applied in the direction of gas discharge, mining equipment, mining equipment, etc., can solve problems such as difficult to determine the weight of evaluation indicators, scrapping of boreholes, spontaneous combustion of boreholes, etc.

Active Publication Date: 2019-12-17
LIAONING TECHNICAL UNIVERSITY
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For a long time, scholars at home and abroad have conducted a lot of research on the prediction of coal spontaneous combustion hazards. These studies have played an important role in the prediction and prevention of mine spontaneous combustion fires to a certain extent. Difficult to determine, the consideration of model index factors is not comprehensive enough, and the primary and secondary factors affecting coal spontaneous combustion are not clear
At present, there is still a lack of research on the influencing factors and prevention of spontaneous combustion in drainage boreholes, and spontaneous combustion disasters in boreholes occur from time to time
During the gas drainage process, due to the lack of tight sealing of the boreholes and air leakage, some boreholes spontaneously ignited, which led to the suspension of the borehole drainage, and even made the boreholes scrapped

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for predicting spontaneous combustion danger in gas extraction boreholes
  • Method for predicting spontaneous combustion danger in gas extraction boreholes
  • Method for predicting spontaneous combustion danger in gas extraction boreholes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0058] A method for predicting the risk of spontaneous combustion in gas drainage boreholes, such as figure 1 shown, including the following steps:

[0059] Step 1: The individual indicators of the spontaneous combustion hazard of the test point are the degree of coal carbonization and deterioration, the temperature difference between the redox ignition point of coal, the oxygen absorption capacity of coal, the unit temperature rise rate of CO, the geological structure, the buried depth of the coal seam, the thickness of the coal seam, the inclination angle of the coal seam, the intensity of air leakage, and the air leakage Duration, surrounding rock temperature, sealing ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a method for predicting spontaneous combustion danger in gas extraction boreholes, and relates to the technical field of coal mine safety engineering. The invention provides themethod for predicting spontaneous combustion danger in the gas extraction boreholes in a coal mine. In order to find out a spontaneous combustion danger degree of the gas extraction boreholes and therelationship between spontaneous combustion of the boreholes and influencing factors thereof during gas extraction, the invention provides a G2 weighting method based on improved CRITIC. Through theintroduction of a Euclidean distance function and the establishment of an optimal decision-making model, the G2 weighting method is modified by virtue of a CRITIC weighting method so as to obtain a comprehensive weight of each index. Based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), namely a ''driving function'' principle of the TOPSIS theory, the G2 weighting method establishes a G2-TOPSIS borehole spontaneous combustion danger judgment model, and analyzes a closeness degree so as to finally predict the spontaneous combustion danger degree of the boreholes.

Description

technical field [0001] The invention relates to the technical field of coal mine safety engineering, in particular to a method for predicting the spontaneous combustion risk of a gas drainage borehole. Background technique [0002] Spontaneous combustion of gas drainage boreholes is an internal coal mine fire affected by many factors. With the increase of mining depth and intensity, the initial temperature of coal seams increases, especially for high-gas spontaneous combustion coal seams, and the risk of spontaneous combustion of drainage boreholes is becoming more and more serious. , but spontaneous combustion often occurs at a certain distance from the exposed surface of the coal body, and there is only smoke but no open flame, so it is difficult to determine the location of the fire source. Once the drainage borehole spontaneously ignites, the borehole will stop pumping or be scrapped. In severe cases, it will also cause disasters such as explosion of the drainage pipelin...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): E21F17/18E21F17/00E21F7/00G06Q50/02
CPCE21F7/00E21F17/00E21F17/18G06Q50/02
Inventor 贾宝山汪伟张勇志张美长贾牛骏王志权陈佳慧付铄钦
Owner LIAONING TECHNICAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products