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New method for evaluating coal seam bottom water bursting

A technology of coal seam floor water inrush and a new method, which is applied in special data processing applications, instruments, electrical digital data processing, etc.

Inactive Publication Date: 2010-11-24
CHINA UNIV OF MINING & TECH (BEIJING)
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  • Summary
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this detailed and systematic analysis to determine the main controlling factors controlling coal seam floor water inrush, and the correct establishment of a hydrogeological and physical conceptual model of coal seam floor water inrush are only the first step in solving the difficult problem of floor water inrush prediction and evaluation.

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  • New method for evaluating coal seam bottom water bursting
  • New method for evaluating coal seam bottom water bursting
  • New method for evaluating coal seam bottom water bursting

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Embodiment Construction

[0037] The present invention will be described in detail below with reference to the accompanying drawings and its application in water inrush prediction in a certain mining area.

[0038] The new method for evaluating coal seam floor water inrush is an evaluation method that can consider the complex interaction relationship and relative "weight" ratio of many main controlling factors for coal seam floor water inrush, and has the characteristics of multi-level partitions, including the following steps:

[0039] 1. Data collection, extraction, processing and quantification of main controlling factors of coal seam floor water inrush;

[0040] Through the analysis of the water inrush mechanism of each mine in the mining area, the following aspects were mainly considered in the selection of the main control factors and the data collection process:

[0041] I. Water-filled aquifers on the coal seam floor: The biggest threat to coal seam mining in this mine comes from the Ordovician...

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Abstract

The invention relates to a new method for evaluating coal seam bottom water bursting. The method comprises the following steps: 1. collecting, extracting, processing and quantizing the data of the many factors of coal seam bottom water bursting; 2. using the ring theory and technical method and the extension method to determine the matter element model of coal seam bottom water bursting 3. determining the classical domain model of the bottom water bursting matter element; 4. determining the joint domain of the bottom water bursting matter element; 5. combining geological data and hydrogeological data information according to the mass observation data of the mine shaft to obtain the matter element to be evaluated, namely the various datasets of a sampling point; 6. calculating the association degree of the matter element to be evaluated in different categories; 7. determining the weighting coefficient of each main control factor of coal seam bottom water bursting; 8. calculating the association degree of the matter element to be evaluated in different safety levels; and 9. determining the bottom water bursting danger level of each matter element to be evaluated, and finally performing scientific regionalization, prediction and evaluation to the danger of coal seam bottom water bursting.

Description

Technical field [0001] The invention relates to a new method for evaluating water inrush from coal seam floor. Background technique [0002] Coal seam floor water inrush is a kind of underground rock mass instability phenomenon caused by artificial mining engineering activities, which lead to the release of energy in the stress field of the surrounding rock mass of the coal seam, the destruction of the water-resistant rock mass structure of the coal seam floor, and the sudden change of the local water-filled hydrogeological conditions of the mine. It is a nonlinear dynamic phenomenon controlled by multiple factors and has a very complex formation mechanism. Since modern mathematics has not been able to use a deterministic mathematical equation to describe this nonlinear dynamic phenomenon with complex mechanism and many controlled factors, empirical, semi-empirical or statistical models are the main methods to describe this nonlinear dynamic phenomenon. Methods, such as the ...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 武强齐福荣李忠
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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