Skip to main content

Advertisement

SpringerLink
Log in

Experimental and numerical evaluation of CBM potential in Jharia Coalfield India

  • Original Article
  • Published:
Geomechanics and Geophysics for Geo-Energy and Geo-Resources Aims and scope Submit manuscript

Abstract

Geophysico-mechanical characterization of coal data are important in the economic success of CH4 extraction as well as a CO2 injection in deep coal seam reservoir. The heterogeneous nature of coal makes the CH4 removal quite challenging because of the complex behaviour of the seam at in situ as well as applied stress level. Coal matrix behaviour depends on several parameters as permeability, porosity, pore pressure, gas content, structural features, etc. plays a leading role in methane extraction. Therefore, extensive laboratory investigation is handiest approached to anticipate the behavior of coal effectively. This paper presents the results of coal characterization, gas permeability, adsorption/desorption capacity of coal as well as the performance of CBM production well in the replicated model of JH-MD-XVI-T coal seam at a depth of 580 m. The coal characterization was determined to evaluate the prospects of methane in the study area. The gas permeability was determined in a triaxial experimental set up using Darcy’s approach to in situ conditions. The decrease in permeability with an increase in confining as well as gas pressure was observed in all coal samples due to the crushing of grain, coal deformation and narrowing of fractures as well as cleats leading to hinder the flow of fluid through it. The well performance was evaluated to determine the gas rate as well as cumulative gas volume over twenty-five years of well life. Mutual relation between permeability, in situ confining pressure as well as gas pressure, has been established statistically.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25
Fig. 26
Fig. 27
Fig. 28
Fig. 29
Fig. 30
Fig. 31

Similar content being viewed by others

References

  • Alama MM, Borrea MK, Fabricius IL, Hedegaard K, Rogena B, Hossain Z, Krogsboll AS (2010) Biot’s coefficient as an indicator of strength and porosity reduction: calcareous sediments from Kerguelen Plateau. J Pet Sci Eng 70:282–297

    Article  Google Scholar 

  • Amin G, Gasparik M, Alexandra AH, Gensterblum Y, Krooss BM (2014) Experimental study of fluid transport processes in the matrix system of the European organic-rich shales: I. Scandinavian Alum Shale. J Mar Pet Geol 51:79–99

    Article  Google Scholar 

  • Aminian K (2009) Type curves for coalbed methane production prediction. SPE 91482 presented at the SPE eastern regional meeting, Charleston, West Virginia, 15–17 September

  • ASTM Standard Method of Preparing Coal Samples for Analysis (1994) ASTM D2013 - 86

  • Averitt P, Berryhill LR (1950) Coal resources of the United States. A Progress Report. United States Department of the Interior, Geological Survey

  • Bell GJ, Rakop KC (1986) Hysteresis of methane/coal sorption isotherms. In: 61st annual technical conference and exhibition of the society of petroleum engineers, New Orleans

  • Berrezueta E, Domínguez-Cuesta MJ, Ordóñez-Casado B, Medina C, Molinero R (2017) Pore space quantification of sedimentary rocks before-after supercritical CO2 interaction by optical image analysis. Energy Proc 114:4382–4393

    Article  Google Scholar 

  • Bharat Coking Coal Limited (BCCL) (2015) Feasibility Report on Moonidih Coal Bed Methane Project. Part of Cluster XI, CMPDI, Regional Institute-II Koyla Bhawan, Dhanbad

  • Bhavsar AB (2005) Prediction of coalbed methane reservoir performance with type curves. Thesis submitted to the college of engineering and mineral resources, petroleum and natural gas engineering, West Virginia University

  • Biot MA (1941) Biot General theory of three-dimensional consolidation. J Appl Phys 12:155–164

    Article  MATH  Google Scholar 

  • Bo L, Jianping W, Kai W, Peng L (2014) Wang, “A method of determining the permeability coefficient of coal seam based on the permeability of loaded coal. Int J Min Sci Technol 24:637–641

    Article  Google Scholar 

  • Chandra K (1997) Alternative hydrocarbon resources in the next millennium. Geohorizons 2(2):443

    Google Scholar 

  • Chatterjee R, Paul S, Pal PK, Srivastava VK (2010) Formation evaluation and characterization of CBM reservoir rocks from well logs of Jharia Coalfield, India. Petrotech, New Delhi

    Google Scholar 

  • Chen Jane, Shi Su, Pohl John H (2004) Use of maceral content to characterize Steam coal performance. Fuel Chem 49:923–924

    Google Scholar 

  • Cheng Y, Jiang H, Zhang X, Cui J, Song C, Li X (2017) Effects of coal rank on physicochemical properties of coal and on methane adsorption. Int J Coal Sci Technol 4:129–146

    Article  Google Scholar 

  • Connell LD, Lu M, Pan Z (2010) An analytical coal permeability model for tri-axial strain and stress conditions. Int J Coal Geol 84:103–114

    Article  Google Scholar 

  • Cui X, Bustin RM (2005) Volumetric strain associated with methane desorption and its impact on coalbed gas production from deep coal seams. AAPG Bull 89:1181–1202

    Article  Google Scholar 

  • Fahad M (2013) Simulation of Fluid Flow and Estimation of Production from Naturally Fractured Reservoirs. Ph.D. thesis submitted in department of Petroleum Engineering, University of New South Wales

  • Gash BW, Volz RF, Potter G, Corgan JM (1993) The effects of cleat orientation and confining pressure on cleat porosity, permeability and relative permeability in coal. In: Proceedings of the international coalbed methane symposium, Tuscaloosa, University of Alabama

  • Gentzis T, Goodarzi F, Cheung FK, Laggoun-Défarge F (2008) Coalbed methane producibility from the Mannville coals in Alberta, Canada: a comparison of two areas. Int J Coal Geol 74:237–249

    Article  Google Scholar 

  • Ghosh S, Jha P, Vidyarthi AS (2014) Unraveling the microbial interactions in organic coal fermentation for generation of methane—A classical to metagenomic approach. Int J Coal Geol 125:36–44

    Article  Google Scholar 

  • Gray I (1987) Reservoir engineering in coal seams part 1: the physical process of gas storage and movement in coal seams. Soc Pet Eng 2:28–35

    Google Scholar 

  • Guo P, Cheng Y (2013) Permeability prediction in deep coal seam: a case study on the No. 3 coal seam of the Southern Qinshui Basin in China. Sci World J. https://doi.org/10.1155/2013/161457

    Google Scholar 

  • Holloway S (1997) An overview of the underground disposal of carbon dioxide. Energy Convers Manag 38:193–198

    Article  Google Scholar 

  • Indian Standard methods for sampling of coal and coke (1965) IS: 436 (Part l/Set 1) – 1964

  • Izadi G, Wang S, Elsworth D, Liu J, Wu Y, Pone D (2011) Permeability evolution of fluid-infiltrated coal containing discrete fractures. Int J Coal Geol 85:202–211

    Article  Google Scholar 

  • Jing X, Gao M, Yu B, Zhang R, Jin W (2015) Coal permeability model on the effect of gas extraction within effective influence zone. Geomech Geophys Geo-Energy Geo-Resour 1:15–27

    Article  Google Scholar 

  • Jun LJ, Guang L (2012) Numerical simulation of CO2 flooding coal bed methane considered mixture shrinkage effect. EJGE 17:3797–3802

    Google Scholar 

  • Kazemi H (1976) Numerical simulation of water-oil flow in naturally fractured reservoirs. Soc Pet Eng J 16:317–326

    Google Scholar 

  • Keim SA (2011) Optimization of coalbed methane completion strategies, selection criteria and production prediction: a case study in China’s Qinshui Basin. Ph.D. Dissertation submitted to the faculty of the Virginia Polytechnic Institute and State University

  • Khan C, Ge L, Rudolph V (2015) Reservoir simulation study for CO2 sequestration in saline aquifers. Int J Appl Sci Technol 5:30–45

    Google Scholar 

  • Koenig RA, Stubbs PB (1986) Interference testing of a coalbed methane reservoir. Presented at the SPE Unconventional Gas Technology Symposium, Louisville, Kentucky

  • Lama RD, Bartosiewicz H (1984) Determination of gas content of coal seams. Seam gas drainage with particular reference to the working seam. University of Wollongong, Wollongong, pp 36–52

    Google Scholar 

  • Lee GJ, Kwon TH (2016) Effect of swelling of coal-induced by carbon dioxide adsorption on permeability and P-wave velocity. In: World congress on ACEM, Jeju Island, Korea

  • Li S, Zhang B (2016) Research of coalbed methane development well-type optimization method based on unit technical cost. Sustainability 8:843

    Article  Google Scholar 

  • Li M, Cao J, Li W (2016) Stress and damage induced gas flow pattern and permeability variation of coal from Songzao Coalfield in Southwest China. Energies 9:2–16

    Google Scholar 

  • Liang W, Shimin L, Yuanping C, Guangzhi Y, Dongming Z, Pinkun G (2017) Reservoir reconstruction technologies for coalbed methane recovery in deep and multiple seams. Int J Min Sci Technol 27:277–284

    Article  Google Scholar 

  • Liu S, Harpalani S (2012) Gas production induced stress and permeability variations in coalbed methane reservoirs. American Rock Mechanics Association, 46th US rock mechanics/geomechanics symposium, Chicago, IL, USA

  • Liu HH, Rutqvist J (2010) A new coal-permeability model: internal swelling stress and fracture-matrix interaction. Transp Porous Media 82:157–171

    Article  Google Scholar 

  • Liu J, Li G, Zhang Y (2016) Numerical simulation of CO2 flooding of coalbed methane considering the fluid-solid coupling effect. PLoS ONE 11:1–16

    Google Scholar 

  • Maffucci R, Bigi S, Corrado S, Chiodi A, Paolo LD, Giordano G (2015) Quality assessment of reservoirs using outcrop data and ‘‘discrete fracture network” models: the case history of Rosario de La Frontera (NW Argentina) geothermal system. Tectonophysics 647:112–131

    Article  Google Scholar 

  • Makinde I, Lee WJ (2016) Reservoir simulation models—impact on production forecasts and performance of shale volatile oil reservoirs. J Gen Eng 16:53–69

    Google Scholar 

  • Mavor MJ, Robinson JR (1993) Analysis of coal gas reservoir interference and cavity well tests. Paper SPE 25860. Presented at the joint rocky mountain regional and low permeability reservoirs symposium, Denver, Colorado

  • Mazumder S, Wolf KAA (2004) An overview of the potentials and prospects of coalbed Methane exploration and exploitation In the permo-carboniferous coal measures Of the barakar formation, jharia basin, india. Geol Belg 7:147–156

    Google Scholar 

  • Meng ZP, Li GQ (2013) Experimental research on permeability of high-rank coal under a varying stress and its influencing factors. Eng Geol 162:108–117

    Article  Google Scholar 

  • Mohalik NK (2017) Development of a petrographic technique to assess the spontaneous combustion susceptibility of Indian coals. Int J Coal Prep Util. https://doi.org/10.1080/19392699.2017.1360874

    Google Scholar 

  • MoM Alama MK, Borrea IL Fabricius, Hedegaard K, Rogena B, Hossain Z, Krogsboll AS (2010) Biot’s coefficient as an indicator of strength and porosity reduction: calcareous sediments from Kerguelen Plateau. J Pet Sci Eng 70:282–297

    Article  Google Scholar 

  • Moore TA (2012) Coalbed methane: a review. Int J Coal Geol 101:36–81

    Article  Google Scholar 

  • Mora CA (2007) Comparison of computation methods For CBM production performance. Thesis on Master of Science, Texas A and M University, Petroleum Engineering

  • Mukherjee PK, Sinha DP, Rawat DS (1999) Coal Bed Methane: How India fits as a potential candidate in CBM prospect and potentiality, vol 5. SAAEG, pp 79–87

  • Okeke AN (2005) Sensitivity analysis of modeling parameters that affect the dual peaking behavior in coalbed methane reservoirs. Thesis on Master of Science, Texas A and M University, Petroleum Engineering, pp 30

  • Pan Z, Connell DL, Camilleri M, Connelly L (2010) Effects of matrix moisture on gas diffusion and flow in coal. Fuels 89:3207–3217

    Article  Google Scholar 

  • Perera MSA, Ranjith PG (2012) Carbon dioxide sequestration effects on coal’s hydro-mechanical properties: a review. Int J Energy Res 36:1015–1031

    Article  Google Scholar 

  • Prusty BK (2008) Sorption of methane and CO2 for enhanced coalbed methane recovery and carbon dioxide sequestration. J Nat Gas Chem 17:29–38

    Article  Google Scholar 

  • Ranathunga AS, Perera MSA, Ranjith PG, De Silva GPD (2017) A macro-scale view of the influence of effective stress on carbon dioxide flow behaviour in coal: an experimental study. Geomech Geophys Geo-Energy Geo-Resour 3:13–28

    Article  Google Scholar 

  • Reiss LH (1980) The reservoir engineering aspects of fractured reservoirs. Gulf Publishing Company, Paris

    Google Scholar 

  • Rice DD (1993) Composition and origins of coalbed gas. Am Assoc Pet Geol Stud Geol 38:159–184

    Google Scholar 

  • Saikia K, Sarkar BC (2007) EXGID – A prototype exploration geological information system for Jharia coalfield, India. J Sci Ind Res 66:513–516

    Google Scholar 

  • Seidle J (2011) Fundamental of coal bed methane reservoir engineering. Penn Well Corporation, Oklahoma

    Google Scholar 

  • Shi JQ, Durucan S (2005) CO2 storage in deep un-minable coal seams. Oil Gas Sci Technol 60:547–558

    Article  Google Scholar 

  • Sinayuc C (2007) Modeling of Enhanced Coalbed Methane Recovery Technology. Ph.D. Thesis, Dept. of Petroleum and Natural Gas Engineering, METU

  • Siriwardane HJ, Gondle RK, Smith DH (2009) Shrinkage and swelling of coal-induced by desorption and sorption of fluids: theoretical model and interpretation of a field project. Int J Coal Geol 77:188–202

    Article  Google Scholar 

  • Song Y, Xing W, Zhang Y, Jian W, Liu Z, Liu S (2015) Adsorption isotherms and kinetics of carbon dioxide on Chinese dry coal over a wide pressure range. Int J Adsorpt 21:53–65

    Article  Google Scholar 

  • Speight JG (2005) Handbook of coal analysis – a series of Monographs on analytical chemistry and its applications, vol 166, pp 238

  • Taheri A, Sereshki F, Ardejani FD, Mirzaghorbanali A (2016) Numerical modeling of gas flow in coal pores for methane drainage. J Sustain Min 15:95–99

    Article  Google Scholar 

  • Vishal V, Ranjith PG, Singh TN (2013) CO2 permeability of Indian bituminous coals: implications for carbon sequestration. Int J Coal Geol 105:36–47

    Article  Google Scholar 

  • Vishal V, Ranjith P, Singh T (2015) An experimental investigation on behaviour of coal under fluid saturation, using acoustic emission. J Nat Gas Sci Eng 22:428–436

    Article  Google Scholar 

  • Wang S, Elsworth D, Liu J (2012) A mechanistic model for permeability evolution in fractured sorbing media. J Geophys Res Solid Earth 117:B06205. https://doi.org/10.1029/2011jb008855

    Google Scholar 

  • Wang Z, Li Y, Liu H, Zeng F, Guo P, Jiang W (2017) Study on the adsorption, diffusion and permeation selectivity of shale gas in organics. Energies 10:142

    Article  Google Scholar 

  • Warren JE, Root PJ (1963) The behavior of naturally fractured reservoirs. SPE J 3:245–255

    Google Scholar 

  • Wei XR, Wang GX, Massarotto P, Golding SD, Rudolph V (2007) A review on recent advances in the numerical simulation for coal bed-methane-recovery process. SPE Reserve Eval Eng 10:657–666

    Article  Google Scholar 

  • White CM (2005) Sequestration of carbon dioxide in coal with enhanced coalbed methane recovery—A review. Energy Fuels 19:659–724

    Article  Google Scholar 

  • Wierzbicki M (2013) Changes in the sorption/diffusion kinetics of a coal-methane system caused by different temperatures and pressures. Instytut Mechaniki Gorotworu PAN, Krakow, p 159

    Google Scholar 

  • Wu Y, Liu J, Chen Z, Elsworth D, Pone D (2011) A dual poroelastic model for CO2-enhanced coalbed methane recovery. Int J Coal Geol 86:177–189

    Article  Google Scholar 

  • Xiao XM, Zhao BQ, Thu ZL, Song ZG, Wilkins RWT (2005) Upper paleozoic petroleum system, Ordos Basin, China. Mar Pet Geol 22:945–963

    Article  Google Scholar 

  • Yan S, Liu S, Zhang Q, Tao M, Zhao M, Feng H (2012) Coalbed methane genesis, occurrence and accumulation in China. Pet Sci 9:269–280

    Article  Google Scholar 

  • Yan T, Yao Y, Liu D (2015) Critical tectonic events and their geological controls on gas generation, migration, and accumulation in the weibei coalbed methane field, Southeast Ordos Basin. J Nat Gas Sci Eng 27:1367–1380

    Article  Google Scholar 

  • Yan C, Cheng Y, Deng F, Tian J (2017) Permeability change caused by stress damage of gas shale. Energies 10:1350

    Article  Google Scholar 

  • Yang Y, Zoback MD (2011) The effects of gas adsorption on swelling, visco-plastic creep and permeability of sub-bituminous coal. American Rock Mechanics Association, San Francisco

    Google Scholar 

  • Ye Z, Zhang L, Hao D, Zhang C, Wang C (2017) Experimental study on the response characteristics of coal permeability to pore pressure under loading and unloading conditions. J Geophys Eng 14:115–124

    Article  Google Scholar 

  • Young GBC, McElhiney JE, Dhir R, Mavor MJ, Anbouba IKA (1991) Coal bed methane production potential of the rock springs formation, Great Divide Basin, Sweetwater County, Wyoming. Presented at the SPE Gas Technology Symposium, Houston, Texas

  • Yumin L, Zhiping L, Dazhen T, Xu H, Chen X (2016) Permeability variation models for unsaturated coalbed methane reservoirs. J Oil Gas Sci Technol 71:2–14

    Article  Google Scholar 

  • Zhao X, Yang Y, Sun F, Wang B, Zuo Y, Li M, Shen J, Mu F (2016) Enrichment mechanism and exploration and development technologies of high coal rank coalbed methane in South Qinshui Basin, Shanxi Province. Pet Explore Dev 43:332–339

    Article  Google Scholar 

  • Zheng G, Pan Z, Chen Z, Tang S, Connell LD, Zhang S, Wang B (2012) Laboratory study of gas permeability and cleat compressibility for CBM/ECBM in Chinese coals. Energy Explorat Exploit 30:451–476

    Article  Google Scholar 

  • Zhu WC, Wei CH, Liu J, Xu T, Elsworth D (2013) Impact of gas adsorption induced coal matrix damage on the evolution of coal permeability. Rock Mech Rock Eng 46:1353–1366

    Article  Google Scholar 

Download references

Acknowledgement

The authors acknowledge the financial assistance provided by SERB, DST, vide approval No: SB/S4/ES-697/2013.

Author information

Authors and Affiliations

  1. Department of Mining Engineering, NIT Rourkela, Rourkela, Odisha, 769008, India

    Harinandan Kumar & M. K. Mishra

  2. Department of Chemical Engineering, NIT Rourkela, Rourkela, Odisha, 769008, India

    S. Mishra

Authors
  1. Harinandan Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. K. Mishra
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. Mishra
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Harinandan Kumar.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kumar, H., Mishra, M.K. & Mishra, S. Experimental and numerical evaluation of CBM potential in Jharia Coalfield India. Geomech. Geophys. Geo-energ. Geo-resour. 5, 289–314 (2019). https://doi.org/10.1007/s40948-019-00114-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40948-019-00114-3

Keywords

Search

Navigation