Skip to main content
SpringerLink
Log in

Prediction of Critical Desorption Pressure of Coalbed Methane in Multi-coal Seams Reservoir of Medium and High Coal Rank: A Case Study of Eastern Yunnan and Western Guizhou, China

  • Original Paper
  • Published:
Natural Resources Research Aims and scope Submit manuscript

Abstract

In the process of multiseam combined drainage, the critical desorption pressure (Pcd) is the basic measurement index for determining whether a multigas-bearing system can be combined with drainage, and it is the basic index for identifying effectively the contributions of productive strata. In actual exploration and development processes, the Pcd is constrained by geological factors, engineering factors and economic factors, and the Pcd of some key coal seams cannot be determined effectively, which restricts the efficient development and utilization of coalbed methane. Accurate prediction of the Pcd of multiple coal seams under formation conditions has become a key requirement. In this study, medium-rank and high-rank coal samples were collected from the main synclines in Eastern Yunnan and Western Guizhou. By introducing the fractal dimension using nuclear magnetic resonance and the Pearson–Spearman correlation coefficient, the influences of coal metamorphism, pore structure, coal quality, temperature (T), and others on coal adsorption capacity were revealed. The results showed that, affected by the hydrocarbon generation and evolutionary processes of coal, fractal dimensions of adsorption pore (D3) and seepage pore (D4), the ratio of vitrinite to inertinite (V/I), the Langmuir volume (VL) and Langmuir pressure (PL) showed segmentation as the degree of metamorphism increased significantly. Bounded by random reflectance Rr = 1.30%, before Rr = 1.30%, with increase in metamorphic grade, VL and Rr showed “U” type change due to the change of molecular structure, maceral content, and structure of seepage pore, and then the evolution of hydrocarbon generation was weakened mainly by the influence of coal and rock components, showing linear change. The slopes of PL and Rr were larger before Rr = 1.30% than after Rr = 1.30%. The variation in PL with metamorphic degree was controlled mainly by the seepage capacity of coal rock, followed by the macerals of coal rock. Based on these results, the Levenberg–Marquardt algorithm was used with Rr and T as independent variables, VL and PL as dependent variables, and the R2 as the judgment value. A piecewise equation for calculating adsorption parameters with a high-fitting degree was obtained. Combined with the Langmuir equation, the prediction equation of Pcd can be calculated under the conditions of Rr and T and the measured gas content of known key coal seams. The correlation between the prediction equation and the measured parameters was high, and the identification template of Pcd of medium–high-rank coal in the study area was given. The new calculation method is more convenient for obtaining parameters and can be applied effectively to coal seams without the need to perform isothermal adsorption tests.

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

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11

Similar content being viewed by others

References

  • Fu, Y., Liu, X., Ge, B., & Liu, Z. (2017). Role of chemical structures in coalbed methane adsorption for anthracites and bituminous coals. Adsorption, 23, 711–721.

    Article  Google Scholar 

  • Guo, D., & Guo, X. (2018). The influence factors for gas adsorption with different ranks of coals. Adsorption Science & Technology, 36, 904–918.

    Article  Google Scholar 

  • Hodot, B. B. (1966). Outburst of coal and coalbed gas (Chinese translation). China Industry Press.

    Google Scholar 

  • Horio, M., Morimoto, J., & Tabuchi, T. (2008). A method for nonlinear least squares problem. Technical Bulletin of Tokushima Bunri University, 75, 81–95.

    Google Scholar 

  • Jin, Y., Dong, J., Zhang, X., Li, X., & Wu, Y. (2017). Scale and size effects on fluid flow through self-affine rough fractures. International Journal of Heat and Mass Transfer, 105, 443–451.

    Article  Google Scholar 

  • Jin, Y., Li, X., Zhao, M., Liu, X., & Li, H. (2017). A mathematical model of fluid flow in tight porous media based on fractal assumptions. International Journal of Heat and Mass Transfer, 108, 1078–1088.

    Article  Google Scholar 

  • Kang, J. Q., Fu, X. H., Jian, K., & Li, X. (2019). Characteristics of the physical parameters and the evolution law of anthracite around the coalification jump: A case of the Jincheng and Guxu mining area, China. Energy Exploration & Exploitation, 37, 1205–1226.

    Article  Google Scholar 

  • Langmuir, I. (1917). The adsorption of gases on plane surfaces of glass, mica and platinum. Journal of the American Chemical Society, 40(9), 1361–1403.

    Article  Google Scholar 

  • Li, J., Qin, Y., Chen, Y., Luo, Q., Deng, J., Guo, S., Zhong, N., & Chen, Q. (2021). Differential graphitization of organic matter in coal: Some new understandings from reflectance evolution of meta-anthracite macerals. International Journal of Coal Geology, 240, 103747.

    Article  Google Scholar 

  • Li, Y., Zhang, C., Tang, D. Z., Gan, Q., Niu, X. L., Wang, K., & Shen, R. (2017). Coal pore size distributions controlled by the coalification process: An experimental study of coals from the Junggar, Ordos and Qinshui basins in China. Fuel, 206, 352–363.

    Article  Google Scholar 

  • Lin, Y., Qin, Y., Ma, D., & Duan, Z. (2021). Pore structure, adsorptivity and influencing factors of high-volatile bituminous coal rich in inertinite. Fuel, 293, 120418.

    Article  Google Scholar 

  • Liu, X., & He, X. (2017). Effect of pore characteristics on coalbed methane adsorption in middle-high rank coals. Adsorption, 23, 3–12.

    Article  Google Scholar 

  • Matin, S. S., Hower, J. C., Farahzadi, L., & Chelgani, S. C. (2016). Explaining relationships among various coal analyses with coal grindability index by Random Forest. International Journal of Mineral Processing, 155, 140–146.

    Article  Google Scholar 

  • More, J. J. (1978). The Levenberg-Marquardt algorithm: Implementation and theory. Numerical Analysis. https://doi.org/10.1007/BFb0067700

    Article  Google Scholar 

  • Mukherjee, I., & Routroy, S. (2012). Comparing the performance of neural networks developed by using Levenberg-Marquardt and Quasi-Newton with the gradient descent algorithm for modelling a multiple response grinding process. Expert Systems with Applications, 39, 2397–2407.

    Article  Google Scholar 

  • Perera, M. S. A., Ranjith, P. G., Choi, S. K., Airey, D., & Weniger, P. (2012). Estimation of gas adsorption capacity in coal: A review and an analytical study. International Journal of Coal Preparation and Utilization, 32, 25–55.

    Article  Google Scholar 

  • Qin, Y., Moore, T. A., Shen, J., Yang, Z., Shen, Y., & Wang, G. (2018). Resources and geology of coalbed methane in China: A review. International Geology Review, 60, 777–812.

    Article  Google Scholar 

  • Qin, Y., Shen, J., & Shen, Y. (2016). Joint mining compatibility of superposed gas-bearing systems: A general geological problem for extraction of three natural gases and deep CBM in coal series. Journal of China Coal Society, 41(01), 14–23.

    Google Scholar 

  • Rubio, J. D. (2021). Stability analysis of the modified Levenberg-Marquardt algorithm for the artificial neural network training. IEEE Transactions on Neural Networks and Learning Systems, 32, 3510–3524.

    Article  Google Scholar 

  • Setzmann, U., & Wagner, W. (1991). A new equation of state and tables of thermodynamic properties for methane covering the range from the melting line to 625 K at pressures up to 100 MPa. Journal of Physical and Chemical Reference Data, 20(6), 1061–1155.

    Article  Google Scholar 

  • Sheikh, H. R., Sabir, M. F., & Bovik, A. C. (2006). A statistical evaluation of recent full reference image quality assessment algorithms. IEEE Transactions on Image Processing, 15(11), 3440–3451. https://doi.org/10.1109/TIP.2006.881959

    Article  Google Scholar 

  • Singh, P. K. (2011). Geological and petrological considerations for coal bed methane exploration: A review. Energy Source Part A, 33, 1211–1220.

    Article  Google Scholar 

  • Strategy Research Center of Oil and Gas Resources Department. (2006). The Ministry of land and resources. Assessment of coalbed (pp. 1–300). China Land Press.

    Google Scholar 

  • Su, Y. J., Liu, X., Teng, Y., & Zhang, K. (2021). A preliminary study on dependence of mercury distribution on the degree of coalification in Ningwu Coalfield, Shanxi, China. Energies, 14(11), 3119.

    Article  Google Scholar 

  • Sun, W., Lin, H., Li, S., Kong, X., Long, H., Yan, M., Bai, Y., & Tian, J. (2021). Experimental research on adsorption kinetic characteristics of CH4, CO2, and n2 in coal from Junggar Basin, china, at different temperatures. Natural Resources Research, 30(3), 2255–2271.

    Article  Google Scholar 

  • Sun, Z., Shi, J., Wu, K., Zhang, T., Feng, D., & Li, X. (2019). Effect of pressure-propagation behavior on production performance: Implication for advancing low-permeability coalbed-methane recovery. SPE Journal, 24(02), 681–697.

    Article  Google Scholar 

  • Tao, S., Chen, S. D., Tang, D. Z., Zhao, X., Xu, H., & Li, S. (2018). Material composition, pore structure and adsorption capacity of low-rank coals around the first coalification jump: A case of eastern Junggar Basin, China. Fuel, 211, 804–815.

    Article  Google Scholar 

  • Yan, J. W., Meng, Z. P., & Li, G. Q. (2021). Diffusion characteristics of methane in various rank coals and the control mechanism. Fuel, 283, 118959.

    Article  Google Scholar 

  • Yang, Y., Liu, S., Zhao, W., & Wang, L. (2019). Intrinsic relationship between Langmuir sorption volume and pressure for coal: Experimental and thermodynamic modeling study. Fuel, 241, 105–117.

    Article  Google Scholar 

  • Yang, Z., Li, Y., Qin, Y., Sun, H., Zhang, P., Zhang, Z., Wu, C., Li, C., & Chen, C. (2019). Development unit division and favorable area evaluation for joint mining coalbed methane. Petroleum Exploration and Development, 46, 583–593.

    Article  Google Scholar 

  • Yang, Z., Peng, H., Zhang, Z., Ju, W., Li, G., & Li, C. (2019). Atmospheric-variational pressure-saturated water characteristics of medium-high rank coal reservoir based on NMR technology. Fuel, 256, 115976.

    Article  Google Scholar 

  • Yang, Z., Zhang, Z., Qin, Y., Wu, C., Yi, T., Li, Y., Tang, J., & Chen, J. (2018). Optimization methods of production layer combination for coalbed methane development in multi-coal seams. Petroleum Exploration and Development, 45, 312–320.

    Article  Google Scholar 

  • Yao, Y., Liu, D., Che, Y., Tang, D., Tang, S., & Huang, W. (2010). Petrophysical characterization of coals by low-field nuclear magnetic resonance (NMR). Fuel, 89, 1371–1380.

    Article  Google Scholar 

  • Zhang, R., & Liu, S. M. (2017). Experimental and theoretical characterization of methane and CO2 sorption hysteresis in coals based on Langmuir desorption. International Journal of Coal Geology, 171, 49–60.

    Article  Google Scholar 

  • Zhang, J. J., Wei, C. T., Ju, W., Yan, G. Y., Lu, G. W., Hou, X. W., & Kai, Z. (2019). Stress sensitivity characterization and heterogeneous variation of the pore-fracture system in middle-high rank coals reservoir based on NMR experiments. Fuel, 238, 331–344.

    Article  Google Scholar 

  • Zhang, M., Fu, X., & Wang, H. (2018). Analysis of physical properties and influencing factors of middle-rank coal reservoirs in China. Journal of Natural Gas Science Engineering, 50, 351–363.

    Article  Google Scholar 

  • Zhang, S., Liu, H., Jin, Z., & Wu, C. (2021). Multifractal analysis of pore structure in middle- and high-rank coal by mercury intrusion porosimetry and low-pressure n2 adsorption. Natural Resources Research. https://doi.org/10.1007/s11053-021-09952-z

    Article  Google Scholar 

  • Zhang, Z., Qin, Y., & Fu, X. (2014). The favorable developing geological conditions for CBM multi-layer drainage in southern Qinshui basin. Journal of China University of Mining & Technology, 43(06), 1019–1024.

    Google Scholar 

  • Zhao, J., Qin, Y., Shen, J., Zhou, B., Li, C., & Li, G. (2019). Effects of pore structures of different maceral compositions on methane adsorption and diffusion in anthracite. Applied Sciences, 9(23), 5130.

    Article  Google Scholar 

  • Zhu, C. G., & Wang, R. H. (2007). Least squares fitting of piecewise algebraic curves. Mathematical Problems in Engineering. https://doi.org/10.1155/2007/78702

    Article  Google Scholar 

Download references

Acknowledgments

Financial support for this work was provided by the National Natural Science Foundation of China (No. 41772155), the National Major Research Program for Science and Technology of China (No. 2016ZX05044002), and Major Science and Technology Special Funding Projects of Shanxi (20201102001).

Author information

Authors and Affiliations

  1. Key Laboratory of Coalbed Methane Resources and Reservoir Formation ProcessChina University of Mining and Technology, Ministry of Education, Xuzhou, 221008, Jiangsu, China

    Cunlei Li & Zhaobiao Yang

  2. School of Resource and Geosciences, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China

    Cunlei Li & Zhaobiao Yang

  3. Guizhou Research Center of Coal Bed Methane and Shale Gas Engineering Technology, Guiyang, 550081, China

    Jie Chen

  4. China United Coalbed Methane Co., Ltd, Beijing, 100016, China

    Hansen Sun

Authors
  1. Cunlei Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhaobiao Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jie Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hansen Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhaobiao Yang.

Ethics declarations

Conflict of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, C., Yang, Z., Chen, J. et al. Prediction of Critical Desorption Pressure of Coalbed Methane in Multi-coal Seams Reservoir of Medium and High Coal Rank: A Case Study of Eastern Yunnan and Western Guizhou, China. Nat Resour Res 31, 1443–1461 (2022). https://doi.org/10.1007/s11053-022-10034-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11053-022-10034-x

Keywords

Search

Navigation