Impact of In-Seam Dirt Bands on the Performance of Surface Miners in Coal Mines

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Authors

  • National Institute of Technology, Raipur - 492010, Chhattisgarh ,IN
  • National Institute of Technology, Raipur - 492010, Chhattisgarh ,IN
  • National Institute of Technology, Raipur - 492010, Chhattisgarh ,IN

DOI:

https://doi.org/10.18311/jmmf/2024/41782

Keywords:

Dirt Bands, Diesel Consumption, Picks, Production, Surface Miner

Abstract

Surface miner was introduced for coal extraction at Lakhanpur open cast project of Mahanadi Coalfields Limited in 1999 for the first time and owing to its success and benefits it offered like elimination of drilling and blasting, smooth and stable high wall, selective mining for quality control and uniform output fragment size (-100mm) etc. it was adopted in many open cast coal mines and now has become a disruptive mass production technology for coal mining in India. In terms of coal resources in the country, Odisha stands first with 88.104 BT resources but the coal seams in Odisha are characterized by its high ash content and interlaced dirt bands (10 cm to 1.5 m) often termed as rejects. For maintaining coal quality, these dirt bands predominantly of sandstone and shale are also cut by surface miners and are segregated at the time of loading and transported to reject dumps or overburden dumps. These dirt bands have a significant impact on the performance of surface miners and must be taken into account during their selection. The authors, based on the intensive field study undertaken at different opencast coal mines in Odisha highlighted the impact of in-seam dirt bands in coal seams on the performance indicators of surface miners which are normalized production rate, diesel and pick consumption for cutting 1000te of material in this paper. Pick consumption was found to vary linearly with the quantum of abrasive material cut. Empirical relations for estimating monthly normalized production, diesel consumption, and pick consumption of surface miners operating in coal seams with intermittent dirt bands with a coefficient of determination (R2) of 0.74, 0.84, and 0.73 respectively were also developed. The developed relations were validated with the field data and the % error was found to be within +20%. This study helps the coal mining companies in the selection of suitable surface miners for achieving targeted production and also for planning inventory of picks and diesel during its operation.

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Published

2024-06-12

How to Cite

Singh, O. P., Dhekne, P. Y., & Pradhan, M. (2024). Impact of In-Seam Dirt Bands on the Performance of Surface Miners in Coal Mines. Journal of Mines, Metals and Fuels, 72(3), 263–273. https://doi.org/10.18311/jmmf/2024/41782

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Articles
Received 2024-03-01
Accepted 2024-05-13
Published 2024-06-12

 

References

Ministry of Coal (GoI). Monthly Statistical Report, Ministry of Coal, March 2023 [Internet]. 2023 [cited 2023 Sep 21]. Available from: https://coal.gov.in/sites/ default/files/2023-05/srn-march-2023_0.pdf

Prakash A, Singh KB, Murthy VMSR, Kumar C, Kumaraswamidhas LA. Development of a handy methodology for the selection of surface miners in varied rock mass conditions for the mass production of coal and limestone. JMMF. 2016; 64(5–6):12–7.

Coal Inventory. Inventory of Coal Resources of India [Internet]. 2022 [cited 2022 Sep 21]. Available from: https://www.cmpdi.co.in/en/coal-inventory

Tiryaki B, Dikmen AC. Effects of rock properties on specific cutting energy in the linear cutting of sandstones by picks. Rock Mech Rock Eng. 2006; 39(2):89–120. https://doi.org/10.1007/s00603-005-0062-7 DOI: https://doi.org/10.1007/s00603-005-0062-7

Ghose AK. New technology for surface mining in the 21st century-emerging role for surface miners. JMMF. 2008; 56(3):41–3.

Prakash A, Murthy VMSR, Singh KB. Rock excavation using surface miners: An overview of some design and operational aspects. Int J Min Sci Technol. 2013; 23(1):33–40. https://doi.org/10.1016/j.ijmst.2013.01.006 DOI: https://doi.org/10.1016/j.ijmst.2013.01.006

MCL. Mahanadi Coalfields Limited, Annual Reports and Accounts 2022-23. 2023.

Dey K, Sen P. Continuous surface miner in mining limestone and coal in India - A comparative study. JMMF. 2008; 56(3–4):51–4.

Singh NP, Seervi V, Kishore N, Verma AK. Impact of surface miner utilization on production efficiency in opencast coal mines using least squares method: a case study. J Inst Eng (India): D. 2023. https://doi. org/10.1007/s40033-023-00451-4 DOI: https://doi.org/10.1007/s40033-023-00451-4

Prakash A, Murthy VMSR, Singh KB. Chip size characterization for selecting optimum production parameters of surface miners operating in a coal mine. Curr Sci. 2015; 108(3):422–6.

Bilgin N, Demircin MA, Copur H, Balci C, Tuncdemir H, Akcin N. Dominant rock properties affecting the performance of conical picks and the comparison of some experimental and theoretical results. Int J Rock Mech Min Sci. 2006; 43(1):139–56. https://doi. org/10.1016/j.ijrmms.2005.04.009 DOI: https://doi.org/10.1016/j.ijrmms.2005.04.009

Dey K, Ghose AK. Review of cuttability indices and a new rock mass classification approach for selection of surface miners. Rock Mech Rock Eng. 2011; 44(5):601– 11. https://doi.org/10.1007/s00603-011-0147-4 DOI: https://doi.org/10.1007/s00603-011-0147-4

Singh NP, Jamal A, Singh RP, Kishore N. Impact of coal quality on longevity of picks of Surface Miner-a case study. In: Int Conf on Deep Excavation, Energy Resources, and Production. 2017; 170.

Mammen J, Saydam S, Hagan P. A study on the effect of moisture content on rock cutting performance. In: Coal Operators’ Conference (ed Aziz, N), University of Wollongong and The Aus Inst Min Metall, Illawarra Branch, Australia. 2009; 340–7.

Bandopadhyay AK. A study on the abundance of quartz in thermal coals of India and its relation to abrasion index: Development of a predictive model for abrasion. Int J Coal Geol. 2010; 84(1):63–9. https://doi. org/10.1016/j.coal.2010.08.005 DOI: https://doi.org/10.1016/j.coal.2010.08.005

Dey K, Ghose AK. Predicting cuttability with surface miners: A rock mass classification approach. JMMF. 2008; 56(5):85–92.

Dey K, Ghose AK. Selecting a surface miner – an algorithm. JMMF. 2009; 57(9):282–7.

Prakash A, Sita Ramachandra Murthy VM, Bahadur Singh K. A new rock cuttability index for predicting key performance indicators of surface miners. Int J Rock Mech Min Sci. 2015; 77:339–47. https://doi. org/10.1016/j.ijrmms.2015.04.016 DOI: https://doi.org/10.1016/j.ijrmms.2015.04.016

Naik AS. Polycyclic aromatic hydrocarbons in Permian coals of India: source and significance. J Geol Soc India. 2019; 94(6):579–82. https://doi.org/10.1007/s12594- 019-1363-x DOI: https://doi.org/10.1007/s12594-019-1363-x

Senapaty A, Behera P. Stratigraphic control of petrography and chemical composition of the lower Gondwana coals, ib-valley coalfield, Odisha, India. GEP. 2015; 03(04):56– 66. https://doi.org/10.4236/gep.2015.34007 DOI: https://doi.org/10.4236/gep.2015.34007

Bhatta R, Dash N, Nayak B. Characters of liptinites in different seams of Talcher coalfield, Odisha, India. J Geol Soc India. 2022; 98(2):193–7. https://doi.org/10.1007/ s12594-022-1958-5 DOI: https://doi.org/10.1007/s12594-022-1958-5

Gillani STA, Butt N. Excavation technology for hard rock problems and prospects. PJEAS. 2009; 4:24–33.

Kumar C, Kumaraswamidhas LA, Murthy VMSR, Prakash A. Experimental investigations on thermal behavior during pick-rock interaction and optimization of operating parameters of a surface miner. Int J Rock Mech Min Sci. 2020; 133:104360. https://doi. org/10.1016/j.ijrmms.2020.104360 DOI: https://doi.org/10.1016/j.ijrmms.2020.104360

Prakash A, Murthy VMSR. Hierarchy of parameters influencing cutting performance of surface miner through artificial intelligence and statistical methods. Curr Sci. 2017; 112(06):1242. https://doi.org/10.18520/ cs/v112/i06/1242-1249 DOI: https://doi.org/10.18520/cs/v112/i06/1242-1249