An empirical approach for classification of coal seams with respect to the spontaneous heating susceptibility of Indian coals

Sahu, H. B.; Mahapatra, S.S.; Panigrahi, Durga Charan

doi:10.1016/j.coal.2009.10.001

Cited by 23 publications

(16 citation statements)

References 15 publications

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“…C. Panigrahi & Saxena, 2001;D. C. Panigrahi, Saxena, V. K, Udaybhanu, G, , 2000;Sahu et al, 2009). Panigrahi and Saxena (2001) studied the intrinsic properties of coal from Jharia coalfields (JCF) of India by carrying out a proximate, elemental and petrographic analysis.…”

Section: Proximate and Ultimate Analysismentioning

confidence: 99%

“…Chandra & Prasad, 1990;Miron, Lazzara, & Smith, 1992;Mukherjee & Sarkar, 1997; C. Panigrahi & Sahu, 2004; D. C. Panigrahi & Saxena, 2001; D. C. Panigrahi, Saxena, V. K, Sahu, Mahapatra, & Panigrahi, 2009). Amongst the common chemical constituent analyses employed, the proximate and elemental analyses are simple, economical with the analytical equipment widely available.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Review of experimental methods to determine spontaneous combustion susceptibility of coal – Indian context

Mohalik

Lester

Lowndes

2016

International Journal of Mining, Reclamation and Environment

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Section: Proximate and Ultimate Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Review of experimental methods to determine spontaneous combustion susceptibility of coal – Indian context

Mohalik

Lester

Lowndes

2016

International Journal of Mining, Reclamation and Environment

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“…Some of the other methods attempted by different researchers are WITS-EHAC liability index (Gouws & Wade, 1989;Gouws & Knoetze, 1995), gas indices study (Singh et al, 2007), development of a device for modeling the behaviour of coal under conditions that may lead to smouldering combustion (Arief & Gillies, 1995), knowledge management system in a longwall mining operations that is liable to smouldering combustion (Singh et al, 1990). Many researchers have tried to correlate the self-heating susceptibility of coal with the intrinsic properties with a great degree of success (Ghosh, 1986;Panigrahi et al, 2000;Kaymakci & Didari, 2002;Beamish & Arisoy, 2008;Sahu et al, 2009). Sahu et al (2009) applied an empirical approach for classification of coal seams based on their proneness to self-heating.…”

Section: Introductionmentioning

confidence: 99%

“…Many researchers have tried to correlate the self-heating susceptibility of coal with the intrinsic properties with a great degree of success (Ghosh, 1986;Panigrahi et al, 2000;Kaymakci & Didari, 2002;Beamish & Arisoy, 2008;Sahu et al, 2009). Sahu et al (2009) applied an empirical approach for classification of coal seams based on their proneness to self-heating. Janusz Cygankiewicz (Cygankiewicz, 2000) determined susceptibility of coals to spontaneous combustion using an adiabatic test method in the Central Mining Institute's Ventilation Division, Katowice, Poland.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Self-Heating Susceptibility of Indian Coal Seams – A Neural Network Approach

Panigrahi¹,

Ray²

2014

Archives of Mining Sciences

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The paper addresses an electro-chemical method called wet oxidation potential technique for determining the susceptibility of coal to spontaneous combustion. Altogether 78 coal samples collected from thirteen different mining companies spreading over most of the Indian Coalfields have been used for this experimental investigation and 936 experiments have been carried out by varying different experimental conditions to standardize this method for wider application. Thus for a particular sample 12 experiments of wet oxidation potential method were carried out. The results of wet oxidation potential (WOP) method have been correlated with the intrinsic properties of coal by carrying out proximate, ultimate and petrographic analyses of the coal samples. Correlation studies have been carried out with Design Expert 7.0.0 software. Further, artificial neural network (ANN) analysis was performed to ensure best combination of experimental conditions to be used for obtaining optimum results in this method.All the above mentioned analysis clearly spelt out that the experimental conditions should be 0.2 N KMnO 4 solution with 1 N KOH at 45°C to achieve optimum results for finding out the susceptibility of coal to spontaneous combustion. The results have been validated with Crossing Point Temperature (CPT) data which is widely used in Indian mining scenario.Keywords: wet oxidation potential, spontaneous heating, correlation studies, artificial neural network analysis, CPT W pracy omówiono możliwości wykorzystania metody elektro-chemicznej zwanej metodą określania potencjału utleniającego w procesie mokrym do określania skłonności węgla do samozapłonu. Dla potrzeb eksperymentu zebrano 78 próbek węgla z trzynastu kopalni w obrębie Indyjskiego Zagłębia Węglowego. Przeprowadzono 936 eksperymentów, w różnych warunkach prowadzenia procesu aby zapewnić standaryzację metody w celu jej szerszego zastosowania. Dla każdej próbki przeprowadzono 12 eksperymentów metodą badania potencjału utleniającego w procesie mokrym. Wyniki skorelowano z własnościami danego węgla przez przeprowadzenie badania petrograficznych i wytrzymałościowych Badania wykazały, że najkorzystniejsze warunki dla procesu to zastosowanie roztworu 0.2 N KMnO 4 z 1 N KOH przy 45°C dla uzyskania optymalnych wyników określania skłonności pokładów do samozapłonu. Walidację wyników przeprowadzono w oparciu o wyniki badania metodą określania temperatury przejścia (Crossing Point Temperature), szeroko stosowaną w przemyśle wydobywczym w Indiach.Słowa kluczowe: metoda badania potencjału utleniającego w procesie mokrym, samozapłon, badanie korelacji, sztuczne sieci neuronowe, temperatura przejścia

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“…During mining, the crossheadings should be sealed to reduce air leakage to the gob and further to prevent the spontaneous combustion of coal and gas explosions [5]. In 2012, a gas explosion accident occurred at the Number 53 crossheading in the gob of working face 22113 in the Cuner colliery, Shenfu-Dongsheng coalfield, Shaanxi Province, China.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study and Application of Inorganic Solidified Foam Filling Material for Coal Mines

Wen¹,

Zhang²,

Yu³

et al. 2017

Advances in Materials Science and Engineering

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Spontaneous combustion of residual coal in a gob due to air leakage poses a major risk to mining safety. Building an airtight wall is an effective measure for controlling air leakage. A new type of inorganic solidified foam-filled material was developed and its physical and chemical properties were analyzed experimentally. The compressive strength of this material increased with the amount of sulphoaluminate cement. With an increasing water-cement ratio, the initial setting time was gradually extended while the final setting time firstly shortened and then extended. The change in compressive strength had the opposite tendency. Additionally, as the foam expansion ratio increased, the solidification time tended to decrease but the compressive strength remained approximately constant. With an increase in foam production, the solidification time increased and the compressive strength decreased exponentially. The results can be used to determine the optimal material ratios of inorganic solidified foamfilled material for coal mines, and filling technology for an airtight wall was designed. A field application of the new material demonstrated that it seals crossheadings tightly, leaves no fissures, suppresses air leakage to the gob, and narrows the width of the spontaneous combustion and heat accumulation zone.

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An empirical approach for classification of coal seams with respect to the spontaneous heating susceptibility of Indian coals

Cited by 23 publications

References 15 publications

Review of experimental methods to determine spontaneous combustion susceptibility of coal – Indian context

Review of experimental methods to determine spontaneous combustion susceptibility of coal – Indian context

Assessment of Self-Heating Susceptibility of Indian Coal Seams – A Neural Network Approach

Experimental Study and Application of Inorganic Solidified Foam Filling Material for Coal Mines

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