Coal bed gas flow condition rapid recognition method based on starting pressure gradient

A technology for starting pressure gradient and coal seam gas, which is applied in earth-moving drilling, wellbore/well components, etc., can solve problems such as evaluation of the difficulty of extraction and deviation of extraction process selection, and achieve the effect of improving the accuracy of production capacity prediction

Inactive Publication Date: 2014-03-26
HENAN POLYTECHNIC UNIV
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the current gas drainage technologies follow the linear seepage theory-Darcy's law, often ignoring the low-speed nonlinear seepage and diffusion phenomena in low-permeability coal seams, resulting in deviations in the evaluation of the difficulty of extraction and the selection of extraction techniques.

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
  • Coal bed gas flow condition rapid recognition method based on starting pressure gradient
  • Coal bed gas flow condition rapid recognition method based on starting pressure gradient
  • Coal bed gas flow condition rapid recognition method based on starting pressure gradient

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0033] Example: see figure 1 —7.

[0034] A method for quickly identifying the flow state of coal seam gas based on the threshold pressure gradient, characterized in that it includes the following steps:

[0035] The first step is to collect representative samples of Type I non-destructive coal, Type II damaged coal, Type III strongly damaged coal, Type IV pulverized coal, and Type V pulverized coal in underground coal mines;

[0036]The criteria for judging the five types of coal samples have been clearly stipulated in the industry standard "Coal and Gas Outburst Mine Appraisal Specification" (AQ 1024-2006), and many other documents have also been made public. figure 1 Selected from the "Coal and Gas Outburst Mine Appraisal Code" (AQ 1024-2006), it is a classification table of coal damage types.

[0037] In the second step, each coal sample is made into a standard coal core with the same specifications in the laboratory. In this embodiment, the standard coal core is a cyl...

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 relates to a coal bed gas flow condition rapid recognition method based on a starting pressure gradient. The method includes the steps that five kinds of coal samples are acquired on an underground coal mine and made into standard coal cores, the geological strength index value of each coal core is determined, then the starting pressure gradient value of the coal cores is measured and calculated, a series of starting pressure gradient tests are conducted on the various coal samples, the stating pressure gradient value of the various coal samples is acquired, regression analysis is conducted on the starting pressure gradient value of the various coal samples and the corresponding geological strength index values, and then the relation between the starting pressure gradient value and the corresponding geological strength index values is acquired; eventually a conclusion is drawn, the coal body structures of a coal bed are acquired by acquiring the coal samples on the underground coal mine or directly observing coal walls, after the GSI value of the coal bed is determined, the starting pressure gradient of coal bed gas can be acquired, the starting pressure gradient and a gas pressure gradient are compared, and then the flow condition of coal bed gas can be quickly judged. According to the method, the guidance is provided for extraction complexity evaluation and selection of extraction processes, and the reference is provided for further improving a gas extraction theory.

Description

technical field [0001] The invention relates to a coal seam gas flow state identification method, in particular to a coal seam gas flow state rapid identification method based on the starting pressure gradient. Background technique [0002] Efficient extraction of gas is one of the fundamental measures for disaster management and resource utilization, and its effect mainly depends on the link between coal seam and external space—permeability. The permeability of coal seams in my country is generally below 1 md, which has the characteristics of "low permeability". The long-term development practice of low-permeability oil and gas reservoirs shows that the fluid flow in low-permeability porous media no longer obeys Darcy's law, but low-speed nonlinear flow with threshold pressure gradient. The concept of starting pressure gradient was proposed by the former Soviet scholar B.A. Ferlaurin in 1951. He believed that flow can only occur when the actual pressure gradient is greater...

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): E21B49/00
Inventor 韩颖张飞燕王革学苏现波倪小明郭红玉程虹铭宋德尚朱林剑王博曹文涛周玉军余伟凡杨志龙任艳普张平生
Owner HENAN POLYTECHNIC UNIV
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