An integrated study on the geochemical, geophysical and geomechanical characteristics of the organic deposits (Coal and CBM) of eastern Sohagpur coalfield, India

Annels, 2003, Core recovery and quality: important factors in mineral source estimation, Appl. Earth Sci., 112, 305, 10.1179/037174503225011306 Avila, 2014, Petrographic characterization of coals as a tool to detect spontaneous combustion potential, Fuel., 125, 173, 10.1016/j.fuel.2014.01.042 Agnihotri, 2016, Early Permian Glossopteris from the Sharda Open Cast mine, Sohagpur Coalfield, Shahdol District, Madhya Pradesh, Paleobot., 65, 97 Aitao, 2018, A new gas extraction technique for high-gas multi-seam mining: A case study in Yangquan Coalfield, China. Environ. Earth Sci., 77, 1 Aladejare, 2020, Evaluation of empirical estimation of uniaxial compressive strength of rock using measurement from index and physical tests, J. Rock Mech. Geotech. Eng., 12, 256, 10.1016/j.jrmge.2019.08.001 Banerjee, G., Kumbhakar, D., Yadava, K.P., 2016. Assessment of cavablity and categorization of coal measure roof rocks by parting plane approach. In: Proceedings of Recent Advances in Rock Engineering (RARE 2016), 301-308. https://doi.org/10.2991/rare-16.2016.48 Bhowmick, 2017, Chemical and mineralogical composition of Kathara Coal, East Bokaro Coalfield, India. Fuel., 208, 91, 10.1016/j.fuel.2017.07.013 BP Statistcal Review of World Energy, 2020. <https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2020-full-report.pdf> Choudhury, 1984, New find of coking coal in the Baheraband-Jalsar area of Sohagpur coalfield, Madhya Pradesh. Indian Miner., 38, 59 Chandra, 1987, Vegetational changes and their climatic implications in coal-bearing Gondwana, Paleobot., 36, 74 Cargill, 1990, Evaluation of empirical methods for measuring the uniaxial compressive strength, Int. J. Rock Mech. Min. Sci. Geomech. Abs., 27, 495, 10.1016/0148-9062(90)91001-N Clarkson, 1999, The effect of pore structure and gas pressure upon the transport properties of coal: a laboratory modelling study. 2. Adsorption rate modelling, Fuel., 78, 1345, 10.1016/S0016-2361(99)00056-3 Chatterjee, 2013, Classification of coal seams for coal bed methane exploration in central part of Jharia coalfield, India- A statistical approach, Fuel., 111, 20, 10.1016/j.fuel.2013.04.007 DGMS 2014. https://www.dgms.gov.in/writereadata/UploadFile/DGMS_Annual_Report_2014_Eng-14.pdf Das, 2000, Observations and classification of roof strata behavior over longwall coal mining panels in India, Int. J. Rock Mech. Min. Sci., 37, 585, 10.1016/S1365-1609(99)00123-9 Dhanam, 2013, High-resolution seismic imaging of the Sohagpur Gondwana basin, Central India: Evidence for syn-sedimentary subsidence and faulting, J. Earth Syst. Sci., 122, 1495, 10.1007/s12040-013-0362-3 Ghosh, 1987, The variation in thickness and composition of coal seams and its use in interpretation of paleocurrents- A case study from the Raniganj Coalfield, West Bengal, India. Int. J. Coal Geol., 9, 209, 10.1016/0166-5162(87)90046-2 Ghose, 2003, Why Longwall in India has not succeded as in other developing countries like China, IE(I) J-MN., 84, 1 Ghosh, 2014, Designing of plug-in for estimation of coal proximate parameters using statistical analysis and coal seam correlation, Fuel., 134, 63, 10.1016/j.fuel.2014.05.023 Ghosh, 2016, Estimation of ash, moisture content and detection of coal lithofacies from well logs using regression and artificial neural network modelling, Fuel., 177, 279, 10.1016/j.fuel.2016.03.001 Ghosh, 2016, Prediction of Coal Proximate Parameters and Useful Heat Value of Coal from Well Logs of the Bishrampur Coalfield, India, using Regression and Artificial Neural Network Modeling, Energy Fuels., 30, 7055, 10.1021/acs.energyfuels.6b01259 Ghosh, 2018, Application of undergound microseismic monitoring for ground failure and secure longwall coal mining operation: A case study in an Indian mine, J. Appl. Geophys., 150, 21, 10.1016/j.jappgeo.2018.01.004 Gao, L., Mastalerz, M., Schimmelmann, A., 2020. The origin of coal bed methane, in: Thakur, P., Schatzel, S.J., Aminian, K., Rodvelt, G., Mosser, M.G., D’Amico, J.S. (Eds.), (Eds.), Coal Bed Methane (2nd Edition). Elsevier B.V., The Netherlands, pp. 3-34. https://doi.org/10.1016/B978-0-12-815997-2.00001-9 Hook, 2010, Global coal production outlooks based on a logistic model, Fuel., 89, 3546, 10.1016/j.fuel.2010.06.013 Hamawand, 2013, Coal seam gas and associated water: A review paper, Renew. Sust. Energ. Rev., 22, 550, 10.1016/j.rser.2013.02.030 Khandelwal, 2010, Prediction of macerals contents of Indian coals from proximate and ultimate analyses using artificial neural network, Fuel., 89, 1101, 10.1016/j.fuel.2009.11.028 Harris, J.M., Kirsch, P., Shi, M., Li, J., Gagrani, A., Krishna, E.S., Tabish, A., Arora, D., Kothandaraman, K., Cliff, D., 2014. Comparative analysis of coal fatalities in Australia, South Africa, India, China and USA, 2006-2010. In: 4th Coal Operators Conference. pp399-407. https:// ro.uow.edu.au/coal/536 Kim, 2011, Coal formation and the origin of coal fires, 1 Kumar, 2015, Petrographical characteristics of bituminous coal from Jharia coalfield India: It’s implication on Coal Bed Methane potentiality, Procedia Earth Planet. Sci., 11, 38, 10.1016/j.proeps.2015.06.006 Kumar, D., Kumar, D., 2018. Sustainable Management of Coal Preparation, In: Kumar, D., Kumar, D. (Eds.), Noncoking Coal Washing. Woodhead Publishing (United Kingdom), pp207-229. https://doi.org/10.1016/B978-0-12-812632-5.00009-4 Kumari, 2019, Predictions of Gross Calorific Value of Indian Coals from their Moisture and Ash Conten, J. Geol. Soc. India., 93, 437, 10.1007/s12594-019-1198-5 Karthikeyan, 2020, Impact of geomechanics in coal bed methane development and production, Barakar coals in central India, J. Petrol. Sci. Eng., 194 Lawson, 2017, Effects of overburden characteristics on dynamic failure in underground mining, Int. J. Min. Sci. Technol., 27, 121, 10.1016/j.ijmst.2016.10.001 Majumdar, 1954, Coal systematics: Deductions from proximate analysisof coal Part I, J. Sci. Indian Res., 13B, 857 Mukherjee, 1988, Gondwana coals of Bhutan Himalaya- Occurrence, properties and petrographic characteristics, Int. J. Coal Geol., 9, 287, 10.1016/0166-5162(88)90018-3 Mukherjee, 1992, Transformation of coal mineral matter in relation to coal metamorphism in the Rajhara sub-basin, Daltonganj Coalfield, India. Int. J. Coal Geol., 21, 197, 10.1016/0166-5162(92)90024-Q Mohanty, 2001, Sequential leaching of trace elements in coal: A case study from Talcher coalfield, Orissa. J. Geol. Soc. Ind., 58, 441 Mukhopadhyay, A., Adhikari, S., Roy, S.P., Bhattacharya, S., Milici, R.C., Warwick, P.D., Landis, E.R., 2001. Eustacy, climate, techtonics, sedimentary environments, and the formation of Permian coal measures in the Sohagpur coalfield, Madhya Pradesh, India. In: National Seminar on Recent Advances in Geology and Lignite Basins of India (Kolkata, 1997), pp305-320. Milici, 2003, The Sohagpur Coalfield Project- A collaborative study of potential coking resources by the Geological Survey of India and the US Geological Survey, 357 Mesroghli, 2009, Estimation of gross calorific value based on coal analysis using regression and artificial neural networks, Int. J. Coal Geology., 79, 49, 10.1016/j.coal.2009.04.002 Mukhopadhyay, 2010, Stratigraphic correlation between different Gondwana Basins of India, J. Geol. Soc. India., 76, 251, 10.1007/s12594-010-0097-6 Mastalerz, 2011, Spontaneous Combustion and Coal Petrology, 47 Mastalerz, M., 2014. Coal Bed Methane: Reserves, Production and Future Outlook, in: Letcher, T.M. (Eds.), Future Energy (2nd Edition). Elsevier B.V., The Netherlands, pp. 145-158. https://doi.org/10.1016/B978-0-08-099424-6.00007-7 Mondal, D., Roy., P.N.S., Behera, P.K., 2017a. Use of Correlation Fractal Dimension signatures for understanding the Overlying Strata Dynamics in Longwall Coal Mines. Int. J. Rock Mech. Min. Sci. 91, 210-221. https://doi.org/10.1016/j.ijrmms.2016.11.019 Mondal, D., Roy., P.N.S., Behera, P.K., 2017b. Application of Correlation Integral and Fractal Dimension in Longwall Safety. In: 79th EAGE Conference and Exhibition, Paris (Extended Abstracts). https://doi.org/10.3997/2214-4609.201701417 Mohanty, 2018, Influence of coal composition and maturity on methane storage capacity of coals of Raniganj Coalfield, India. Int. J. Coal Geol., 196, 1, 10.1016/j.coal.2018.06.016 Mondal, 2019, Fractal and Seismic b-value study during dynamic roof displacements (roof fall and surface blasting) for enhancing safety in the longwall coal mines, Eng. Geol., 253, 184, 10.1016/j.enggeo.2019.03.018 Ministry of Coal, 2019. Coal Grades. https://coal.nic.in/content/coal-grades Mondal, 2020, Monitoring the strata behavior in the Destressed Zone of a shallow Indian longwall panel with hard sandstone cover using Mine-Microseismicity and Borehole Televiewer data, Eng. Geol., 271, 1 Navale, 1976, Macrofragmental fossils and their coalfield products in the Permian coal of India, Palaeobot., 25, 330 Ojha, 2011, Coal Bed Methane in India: Difficulties and Prospects, Int. J. Chem. Eng. Appl., 2, 256 O’Keefe, 2013, On the fundamental difference between coal rank and coal type, Int. J. Coal Geol., 118, 58, 10.1016/j.coal.2013.08.007 Pareek, 1986, The role of coal petrographic characteristics in evaluating the non-coking nature of the coals of Ramagundam and Kothagudem, Godavari Valley Basin, Andhra Pradesh, India. Int. J. Coal Geol., 6, 181, 10.1016/0166-5162(86)90020-0 Pareek, 1987, Petrographic, chemical and trace-element composition of the coal of Sohagpur Coalfield, Madhya Pradesh, India. Int. J. Coal Geol., 9, 187, 10.1016/0166-5162(87)90045-0 Patel, 2007, Estimation of gross calorific value of coals using artificial neural networks, Fuel., 86, 334, 10.1016/j.fuel.2006.07.036 Prabu, 2015, Coalbed methane with CO2 sequestration: An emerging clean coal technology in India, Renew. Sust. Energ. Rev., 50, 229, 10.1016/j.rser.2015.05.010 Pan, 2015, Coalbed methane (CBM) exploration, reservoir characteristics, production and modelling: A collection of published research (2009–2015), J. Nat. Gas Sci. Eng., 26, 1472, 10.1016/j.jngse.2015.07.049 Rao, 1983, Coal resources of Madhya Pradesh, Jammu and Kashmir Coalfields of India, Mand-Raigarh Coalfield, Madhya Pradesh. Bull. Geol. Surv. India., 43, 12 Ravi, 1999, Ranking of Indian coals via fuzzy multi attribute decision making, Fuzzy Sets. Syst., 103, 369, 10.1016/S0165-0114(97)00394-1 Reddy, 2017, Impact of various factors on roof stability in underground coal mines, Int. J. Earth Sci. Eng., 10, 626 Sen, 1970, Petrographic classification of Indian coals, Q. J. Geol. Min. Met. Soc. India., 42, 97 Singh, 1983, Occurrence, distribution and probable source of the trace elements in Ghugus coal, Wardha Valley, districts Chadrapur and Yeotmal, Maharastra, India. Int. J. Coal Geol., 2, 371, 10.1016/0166-5162(83)90017-4 Smith, 1984, Diffusion models for gas production models from coals-application to methane content determination, Fuel., 63, 251, 10.1016/0016-2361(84)90046-2 Sen, 1992, Usefulness of petrographic classification in defining national coal resources, Int. J. Coal. Geol., 20, 263, 10.1016/0166-5162(92)90017-Q Srivastava, A.K., 1997. Late Palaeozoic Floral Succession in India. In: Proceedings of XIII, International Congress of Carboniferous and Permian (Krakow, Poland), pp264-272. Suarez-Ruiz, 2008, Basic factors controlling coal quality and technology behavior of coal, 19 Saikia, 2013, Coal exploration modelling using geostatistics in Jharia coalfield, India. Int. J. Coal Geol., 112, 36, 10.1016/j.coal.2012.11.012 Srivastava, 2013, Coal seam correlation of an Indian Gondwana coalfield: A palaeobotanical perspective, Int. J. coal Geol., 113, 88, 10.1016/j.coal.2012.06.009 Mandal, A., Sengupta, D., 2000. The Analysis of Fatal Accidents in Indian Coal Mines. https://faculty.franklin.uga.edu/amandal/sites/faculty.franklin.uga.edu.amandal/files/Fatal accidents in India Coal Mines.pdf Schon, 2015, Geomechanical Properties, Volume 65, 269 Singh, 2015, Utilization of ventilation air methane in Indian coal mines: Prospects and Challenges, Procedia Earth Planet. Sci., 11, 56, 10.1016/j.proeps.2015.06.008 Singh, 2019, Application of digital image analysis for monitoring the behaviour of factors that control the rock fragmentation in opencast bench blasting: A case study conducted over four opencast coal mines of the Talcher Coalfields, India. J. Sust. Min., 18, 247 Singh, 2010, Coal Bed Methane potentiality- Case studies from Umaria, Korba and Ib-valley coals, Son-Mahanadi Basin, J. Geol. Soc. India., 76, 33, 10.1007/s12594-010-0081-1 Singh, 2016, Petrographic characterization and evolution of the Karharbari coals, Talcher Coalfield, Orissa, India. Int. J. Coal Sci. Technol., 3, 133, 10.1007/s40789-016-0132-3 Tiwari, 1988, Palynological zones and their climate inference in coal-bearing Gondwana of peninsular India, Paleobot., 36, 87 Tercan, 2013, Seam modelling and resource estimation in the coalfields of western Anatolia, Int. J. Coal Geol., 112, 94, 10.1016/j.coal.2012.10.006 Thakur, 2017, Chapter 1- Global Reserves of Coal Bed Methane and Prominent Coal Coal Basins, 1 Ulusay, 2015, The ISRM suggested methods for rock characterization, testing and monitoring: 2007–2014, Springer International Publishing, Switzerland. Veevers, 1995, Gondwana master basin of peninsular India between Tethys and interior of Gondwanaland province of Pangea, Geol. Soc. America (Memoir, 187) Wang, 2016, Bayesian characterization of correlation between Uniaxial Compressive Strength and Young’s Modulus of rock, Int. J. Rock Mech. Min. Sci., 85, 10, 10.1016/j.ijrmms.2016.02.010 Wang, H., Lei, M., Chen, Y., Jiang, J., Zou, L., 2019. Intelligent estimation of vitrinite reflectance of coal from Photomicrographs based on machine learning. Energies. 12(20), 3588 (1-16). https://doi.org/10.3390/en12203855 Zorlu, 2008, Prediction of uniaxial compressive strength of sandstone using petrography-based models, Eng. Geol., 96, 141, 10.1016/j.enggeo.2007.10.009 Zheng, 2019, Coalbed methane emission and drainage methods in underground mining for mining safety and environmental benefits: A review, Process Saf. Environ. Prot., 127, 103, 10.1016/j.psep.2019.05.010