We analyze labor productivity in coal mining in the United States using indices of productivity change associated with the concepts of panel data modeling. This approach is valuable when there is extensive heterogeneity in production units, as with coal mines. We ̄nd substantial returns to scale for coal mining in all geographical regions, and ̄nd that smooth technical progress is exhibited by ...

Nowadays, one of the main tasks of Ukrainian coal industry is increasing labour productivity by means of complex mechanization and automatization of mining operations with usage of modern equipment. The best example is implementation of modern plow complexes on Western Donbas mines, PJSC “DTEK Pavlogradvugillia”. Currently, plowing is one of perspective directions of coal extraction development...

Coal is the only natural resource and fossil fuel available in abundance in India. Consequently, it is used widely as a thermal energy source and also as fuel for thermal power plants producing electricity. India has about 90,000 MW installed capacity for electricity generation, of which more than 70% is produced by coal-based thermal power plants. Hydro-electricity contributes about 25%, and t...

Abstract Coal elastic parameters are an important index reflecting the material composition and porosity, which can be used to guide reservoir evaluation safe mining of coal coalbed methane (CBM). In this study, samples collected from seams #2, #3, #7 + 8, #9 in Yuwang colliery, eastern Yunnan, were studied, influences organic matter, ash content porosity on investigated. The results show that ...

INTRODUCTION The restricted workspace present in low-seam coal mines forces workers to adopt awkward working postures (kneeling and stooping), which place high physical demands on the knee and lower back. METHOD This article provides an analysis of injury claims for eight mining companies operating low-seam coal mines during calendar years 1996-2008. All cost data were normalized using data o...

Communications in coal mines are poor by general industry standards, and generate significant risks in the lack of information available from underground areas. Mines often employ multiple incompatible systems for communication. This report concludes that there is no technical barrier to the upgrading of coal mine communications to equivalent standards of those used by general commercial and in...

The paper presents results of application of a machine learning method, namely the induction of classification and regression rules, for seismic hazard prediction in coal mines. The main aim of this research was to verify if machine learning methods would be able to predict seismic hazard more accurately than methods routinely used in Polish coal mines on the basis of data gathered by monitorin...