Storage Potential of Multi-State Fluids in Different Lithotypes of Lignite: An In Situ Water-Gas-Bearing Analysis Based on Nuclear Magnetic Resonance

Springer Science and Business Media LLC - Tập 32 - Trang 1199-1214 - 2023
Fudong Xin1,2,3, Hao Xu2, Dazhen Tang2, Can Cao4
1PetroChina Research Institute of Petroleum Exploration & Development, Beijing, China
2School of Energy Resources, China University of Geosciences (Beijing), Beijing, China
3PetroChina Shenzhen New Energy Research Institute, Shenzhen, China
4Executive Leadership Academy, Ministry of Emergency Management of China, Beijing, China

Tóm tắt

The reservoir properties and gas-bearing characteristics of different lithotypes of lignite are different, resulting in complex migration and accumulation laws of methane in lignite. Following systematic collections of samples of different lithotypes from the Erlian Basin, occurrence modes and storage potential of methane in lignite were explored through a series of isothermal adsorption experiments and NMR-based experiments on original water-containing samples. The maceral composition affects the reservoir characteristics and hydrophilicity of different lithotypes of lignite, which control the reservoir’s gas–water competition. Xylite lignite has a strong adsorption capacity, poor development of macropores, and high irreducible water content. Therefore, among various lithotypes of lignite, xylite lignite has the highest occurrence potential for adsorbed gas and soluble gas and the lowest potential for free gas. Notably, the soluble gas in lignite is never dominant in the gas composition. Therefore, gas in xylite lignite is mainly adsorbed. Due to carbonization, the fusain-rich lignite retains many unexpanded primary plant tissue structures and has developed macropore spaces and weak hydrophilicity. Therefore, the fusain-rich lignite has high free fluid porosity and the highest free gas storage potential. When the burial depth of the matrix lignite is less than 500 m, the methane is mainly adsorbed. The storage potential of free gas gradually exceeds that of adsorbed gas as the burial depth increases. There are apparent differences in the occurrence states and accumulation patterns of methane in different lithotypes of lignite. Clarifying methane’s occurrence and storage potential in different lithotypes of lignite are significant for evaluating methane resources and exploring the methane enrichment model.

Tài liệu tham khảo

Bustin, R. M., & Clarkson, C. R. (1999). Free gas storage in matrix porosity: a potentially significant coalbed resource in low rank coals. In Proceedings International Coalbed Methane Symposium (pp. 197–214). Charrière, D., & Behra, P. (2010). Water sorption on coals. Journal of Colloid and Interface Science, 344(2), 460–467. Chen, D., Pan, Z., Liu, J., & Connell, L. D. (2012). Modeling and simulation of moisture effect on gas storage and transport in coal seams. Energy and Fuels, 26(3), 1695–1706. Crosdale, P. J., Moore, T. A., & Mares, T. E. (2008). Influence of moisture content and temperature on methane adsorption isotherm analysis for coals from a low-rank, biogenically-sourced gas reservoir. International Journal of Coal Geology, 76(1–2), 166–174. Day, S., Sakurovs, R., & Weir, S. (2008). Supercritical gas sorption on moist coals. International Journal of Coal Geology, 74(3–4), 203–214. Fu, H., Yan, D., Su, X., Wang, J., Li, Q., Li, X., Zhao, W., Zhang, L., Wang, X., & Li, Y. (2022). Biodegradation of early thermogenic gas and generation of secondary microbial gas in the Tieliekedong region of the northern Tarim Basin, NW China. International Journal of Coal Geology, 261, 104075. Fu, H., Yan, D., Yang, S., Wang, X., Wang, G., Zhuang, X., Zhang, L., Li, G., Chen, X., & Pan, Z. (2021). A study of the gas–water characteristics and their implications for the coalbed methane accumulation modes in the Southern Junggar Basin, China. AAPG Bulletin, 105(1), 189–221. Han, L., Shen, J., Wang, J., & Shabbiri, K. (2021). Characteristics of pore evolution and its maceral contributions in the huolinhe lignite during coal pyrolysis. Natural Resources Research, 30(3), 2195–2210. Jian, S., Lei, D., Yong, Q., Peng, Y., Xuehai, F., & Gang, C. (2015). Three-phase gas content model of deep low-rank coals and its implication for CBM exploration: A case study from the Jurassic coal in the Junggar Basin. Natural Gas Industry, 35(03), 30–35. Li, C., Yang, Z., Chen, J., & Sun, H. (2022). 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. Natural Resources Research, 31(3), 1443–1461. Li, G., Qin, Y., Yao, Z., & Hu, W. (2021). Differentiation of carbon isotope composition and stratabound mechanism of gas desorption in shallow-buried low-rank multiple coal seams: Case study of well DE-A, Northeast Inner Mongolia. Natural Resources Research, 30(2), 1511–1526. Li, X., Fu, X., Liu, A., An, H., Wang, G., Yang, X., Wang, L., & Wang, H. (2016). Methane adsorption characteristics and adsorbed gas content of low-rank coal in China. Energy and Fuels, 30(5), 3840–3848. Lievens, C., Ci, D., Bai, Y., Ma, L., Zhang, R., Chen, J. Y., Gai, Q., Long, Y., & Guo, X. (2013). A study of slow pyrolysis of one low rank coal via pyrolysis-GC/MS. Fuel Processing Technology, 116, 85–93. Liu, A., Fu, X., Wang, K., An, H., & Wang, G. (2013). Investigation of coalbed methane potential in low-rank coal reservoirs—Free and soluble gas contents. Fuel, 112, 14–22. Mallick, N., & Prabu, V. (2017). Energy analysis on Coalbed Methane (CBM) coupled power systems. Journal of CO2 Utilization, 19, 16–27. McCutcheon, A. L., Barton, W. A., & Wilson, M. A. (2003). Characterization of water adsorbed on bituminous coals. Energy and Fuels, 17(1), 107–112. https://doi.org/10.1021/ef020101d Obasi, C., & Pashin, J. (2018). Effects of internal gradients on pore-size distribution in shale. AAPG Bulletin, 102(9), 1825–1840. Ou, C., Li, C., Zhi, D., Xue, L., & Yang, S. (2018). Coupling accumulation model with gas-bearing features to evaluate low-rank coalbed methane resource potential in the southern Junggar Basin. China. AAPG Bulletin, 102(1), 153–174. Pratt, T. J., Mavor, M. J., & Debruyn, R. P. (1999). Coal gas resource and production potential of subbituminous coal in the powder river basin. In Society of Petroleum Engineers - SPE Rocky Mountain Regional Meeting 1999, RMR 1999. Ren, P., Wang, Q., Tang, D., Xu, H., & Chen, S. (2022). In situ stress-coal structure relationship and its influence on hydraulic fracturing: A case study in Zhengzhuang area in Qinshui Basin, China. Natural Resources Research, 31(3), 1621–1646. Ross, H. E., Hagin, P., & Zoback, M. D. (2009). CO2 storage and enhanced coalbed methane recovery: Reservoir characterization and fluid flow simulations of the Big George coal, Powder River Basin, Wyoming, USA. International Journal of Greenhouse Gas Control, 3(6), 773–786. Sampath, K. H. S. M., Perera, M. S. A., Elsworth, D., Ranjith, P. G., Matthai, S. K., & Rathnaweera, T. (2018). Experimental investigation on the mechanical behavior of Victorian brown coal under brine saturation. Energy and Fuels, 32(5), 5799–5811. Shi, J., Jia, Y., Wu, J., Xu, F., Sun, Z., Liu, C., Meng, Y., Xiong, X., & Liu, C. (2021a). Dynamic performance prediction of coalbed methane wells under the control of bottom-hole pressure and casing pressure. Journal of Petroleum Science and Engineering, 196, 107799. Shi, J., Wu, J., Lv, M., Li, Q., Liu, C., Zhang, T., Sun, Z., He, M., & Li, X. (2021b). A new straight-line reserve evaluation method for water bearing gas reservoirs with high water production rate. Journal of Petroleum Science and Engineering, 196, 107808. Taylor, G. H., Teichmüller, M., Davis, A., Diessel, C. F. K., Littke, R., & Robert, P. (1998). Organic petrology. Wang, K. (2010). Physical simulation and numerical simulation of adsorbed state, soluble state and free state gas volume in low rank coal reservoir. China Uni. Min. Techno. Xin, F., Xu, H., Tang, D., & Cao, L. (2019a). Properties of lignite and key factors determining the methane adsorption capacity of lignite: New insights into the effects of interlayer spacing on adsorption capacity. Fuel Processing Technology, 196, 106181. Xin, F., Xu, H., Tang, D., & Cao, L. (2020a). An improved method to determine accurate porosity of low-rank coals by nuclear magnetic resonance. Fuel Processing Technology, 205(February), 106435. Xin, F., Xu, H., Tang, D., Chen, Y., Cao, L., & Yuan, Y. (2020b). Experimental study on the change of reservoir characteristics of different lithotypes of lignite after dehydration and improvement of seepage capacity. Fuel, 277, 118196. Xin, F., Xu, H., Tang, D., Liu, D., & Cao, C. (2021). Problems in pore property testing of lignite: Analysis and correction. International Journal of Coal Geology, 245, 103829. Xin, F., Xu, H., Tang, D., Yang, J., Chen, Y., Cao, L., & Qu, H. (2019b). Pore structure evolution of low-rank coal in China. International Journal of Coal Geology, 205, 126–139. https://doi.org/10.1016/j.coal.2019.02.013 Xu, H., Tang, D., Chen, Y., Ming, Y., Chen, X., Qu, H., Yuan, Y., Li, S., & Tao, S. (2018). Effective porosity in lignite using kerosene with low-field nuclear magnetic resonance. Fuel, 213, 158–163. Yang, Z., Qin, Z., Wang, G., & Li, C. (2021). Environmental effects of water product from coalbed methane wells: A case study of the Songhe well group, western Guizhou, China. Natural Resources Research, 30(5), 3747–3760. Zhang, Z., Qin, Y., You, Z., & Yang, Z. (2021). Distribution characteristics of in situ stress field and vertical development unit division of CBM in western Guizhou. China. Natural Resources Research, 30(5), 3659–3671. Zhao, J., Xu, H., Tang, D., Mathews, J. P., Li, S., & Tao, S. (2016). Coal seam porosity and fracture heterogeneity of macrolithotypes in the Hancheng Block, eastern margin, Ordos Basin, China. International Journal of Coal Geology, 159, 18–29. Zhao, J., Shen, J., Qin, Y., Wang, J., Zhao, J., & Li, C. (2021). Coal petrology effect on nanopore structure of lignite: Case study of no. 5 coal seam, Shengli Coalfield, Erlian Basin, China. Natural Resources Research, 30(1), 681–695. Zhong, J., Meng, Y., Liu, Z., & Zeng, F. (2022). A novel method for the intelligent recognition of lattice fringes in coal HRTEM images based on semantic segmentation and fuzzy superpixels. ACS Omega, 7(17), 15037–15047. Zhu, J. F., Liu, J. Z., Yang, Y. M., Cheng, J., Zhou, J. H., & Cen, K. F. (2016). Fractal characteristics of pore structures in 13 coal specimens: Relationship among fractal dimension, pore structure parameter, and slurry ability of coal. Fuel Processing Technology, 149, 256–267.