Predict Gas Drainage Quantity of Mining with Dynamic Unbiased Grey Markov Model

Qing Song Li; Shao Quan Li; Zhen Li Han

doi:10.4028/www.scientific.net/AMR.734-737.588

Paper Titles

Lication of Complex Summation in Eliminating the Impact of Minor Faults during the Research on Upper Mining Limit of Coal Seams
p.570

Numerical Simulation for Shear Characteristics of Rock-Mass Structural Plane
p.574

Numerical Simulation on Effect of Obstructing Airflow by Different Outlet Parameters of Mine Air Curtain
p.579

Oxidation of Huolinguole Lignite with NaOCl
p.584

Predict Gas Drainage Quantity of Mining with Dynamic Unbiased Grey Markov Model
p.588

Prediction of Mining Step in Strong Mine Earthquake Based on Grey System Theory
p.594

Present Situation of Coal Recovery Rate in our Country and Countermeasure Research
p.601

Research of Bearing Mechanism of Double Support Structure of Deep Soft Rock Roadway
p.606

Research on Sodium Removal from Zhundong Coal
p.614

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 734-737Predict Gas Drainage Quantity of Mining with...

Predict Gas Drainage Quantity of Mining with Dynamic Unbiased Grey Markov Model

Abstract:

In order to predict mine gas drainage quantity for research purposes, using unbiased grey GM(1,1) model to replace the traditional GM(1,1) model, was obtained by fitting experimental mine gas drainage quantity change trend. Based on the application of dynamic Markov model prediction, and the prediction results and the real value of comparative analysis. The results show that, the dynamic unbiased grey Markov model for predicting mine gas drainage volume of high fitting precision, and results are correct and reliable, has great practicability and universality.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 734-737)

Pages:

588-593

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.734-737.588

Citation:

Cite this paper

Online since:

August 2013

Authors:

Qing Song Li*, Shao Quan Li, Zhen Li Han

Keywords:

Dynamic Unbiased Grey Markov Model, Gas Drainage Quantity, GM(1,1) Model, Predict

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Zhang Dejiang. vigorously promote coal mine gas drainage and utilization[J].Coal Economic Research, 2010,1(30):4

Google Scholar

[2] Han Zhenli, Luo Yong, Li Qingsong, etc. Guizhou Province coalbed methane (coal gas) development and utilization of the "Twelfth Five Year Plan"[R].Guizhou: Guizhou coal mine design and research institute,2011,12:1-2

Google Scholar

[3] Han Zhenli, Luo Yong, Li Qingsong, etc. The study report of Guizhou Panjiang Coalbed Methane Development and Utilization Company Ltd coal gas power generation project feasibility[R].Guizhou: Guizhou coal mine design and research institute, ,2009,3:33-37

Google Scholar

[4] Ji Peirong, Huang Weisong, Hu Xiangyong. An unbiased grey forecasting model[J].Systems Engineering and Electronics,2000,22(6):6-7

Google Scholar

[5] Xu Jianxin, Yang Jie. Application of dynamic unbiased grey Markov model in prediction of death rate per million-ton Coal[J].China Safety Science Journal,2012,3:123-125

Google Scholar

[6] Gaoyang, Tan Yangbo. Based on metabolic unbiased gray Markov prediction model in long-term forecast of energy consumption[J]. Statistics and Decision,2007(22):55-56

Google Scholar

[7] Tao Yunqi, Xu Jiang, Lishuchun. Predict gas emissing quantity of mining coal face with in proved grey Markov model[J].Journal of China Coal Society,2007,4:393-395

Google Scholar