Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Working face multi-source methane prediction method based on carbon and hydrogen isotopes

A mining face, carbon and hydrogen isotope technology, applied in the direction of gas discharge, mining equipment, earth drilling and mining, etc., there are not many studies that can solve the multi-source gas migration law, cannot accurately and quantitatively predict gas, and cannot specifically quantify multiple sources Issues such as the source and proportion of gas gushing out, to achieve wide application prospects, avoid blind governance and unnecessary investment, and achieve obvious economic and social benefits

Inactive Publication Date: 2019-09-17
CCTEG SHENYANG RES INST
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, the separate source prediction method is used to predict the gas source, and it is impossible to accurately and quantitatively predict the gas in the adjacent layer.
[0003] At present, through years of discussion by scholars, the theory of gas migration has been developed by leaps and bounds in my country, but there are not many studies on the laws of multi-source gas migration. Numerical simulation methods cannot specifically quantify the source and proportion of multi-source gas emission (previous predictions for multi-source gas were only based on empirical means)

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
  • Working face multi-source methane prediction method based on carbon and hydrogen isotopes
  • Working face multi-source methane prediction method based on carbon and hydrogen isotopes
  • Working face multi-source methane prediction method based on carbon and hydrogen isotopes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0027] Such as figure 1 As shown, a multi-source gas prediction method based on carbon and hydrogen isotopes in the mining face belongs to a method of gas emission prediction in the working face. Calculate the output ratio, including the following steps:

[0028] S1: Obtain the first coal sample and the first gas sample respectively in the currently mined coal seam, respectively obtain the second coal sample and the second gas sample in the upper adjacent coal seam of the currently mined coal seam, and respectively obtain the second coal sample and the second gas sample in the lower adjacent coal seam of the currently mined coal seam. Obtain the third coal sample and the third gas sample, obtain the fourth gas sample in the goaf of the working face of the coal seam currently mined or obtain the fifth gas sample in the air return lane of the w...

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 present invention relates to the technical field of methane control of mines, in particular to a working face multi-source methane prediction method based on carbon and hydrogen isotopes. The present invention, by performing lab analysis of methane components and test of carbon and hydrogen isotopes on a coal sample and a methane sample collected on site, mainly analyzes compositional differences of delta 13C (CH4), delta D (CH4), delta 13C (CO2) and other carbon and hydrogen isotopes corresponding to methane gas of a single coal layer and mixed methane gas of multiple coal layers; and determines working face multi-source methane sources and ratios of the methane sample using a mathematical method. The present invention, using a carbon and hydrogen isotopes analysis method, quantitatively analyzes compositional characteristics and ratios of their sources in the mixed methane gas of the methane sample and provides a new working face multi-source methane prediction method, thereby offering a basis for methane extraction and control of the coal layer and specifying methane sources. Therefore, methane control will be focused, thereby avoiding blind control and unnecessary input.

Description

technical field [0001] The invention relates to the technical field of mine gas control, in particular to a method for predicting multi-source gas in a mining face based on hydrocarbon isotopes. Background technique [0002] In the gas gushing from the fully mechanized mining face, the gas flowing from the adjacent working face to the working face of the coal seam accounts for a high proportion, which is also the root cause of the gas exceeding the limit. Reasonable ventilation methods can alleviate the pressure of gas control to a certain extent, and by draining the gas accumulated in the goaf, it can effectively prevent the gas concentration in the working face and return air flow from being too high. In the mining process of multiple coal seams, it is very important to study the gas migration law and emission ratio of the coal seam mining face overlying the overlying coal seam, so as to effectively strengthen the gas control of adjacent layers and ensure the safe and effi...

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
IPC IPC(8): G01N7/00E21F7/00
CPCE21F7/00G01N7/00
Inventor 杨宏伟曹垚林高宏钱志良韩兵马小敏林海峰
Owner CCTEG SHENYANG RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products