Applying 3D geological modeling to predict favorable areas for coalbed methane accumulation: a case study in the Qinshui Basin

Xiongxiong YANG, Shuheng TANG, Songhang ZHANG, Zhaodong XI, Kaifeng WANG, Zhizhen WANG, Jianwei LV

PDF(7138 KB)
PDF(7138 KB)
Front. Earth Sci. ›› DOI: 10.1007/s11707-024-1116-z
RESEARCH ARTICLE

Applying 3D geological modeling to predict favorable areas for coalbed methane accumulation: a case study in the Qinshui Basin

Author information +
History +

Abstract

Qinshui Basin possesses enormous deep coalbed methane (CBM) resources. Fine and quantitative description of coal reservoirs is critical for achieving efficient exploration and development of deep CBM. This study proposes a 3D geological modeling workflow that integrates three parts: geological data analysis, 3D geological modeling, and application of the model, which can accurately predict the favorable areas of CBM. Taking the Yushe-Wuxiang Block within the Qinshui Basin as a case study, lithology identification, sequence stratigraphy division, structural interpretation is conducted by integrating well logging, seismic, and drilling data. Six lithology types and regional structural characteristics of the Carboniferous-Permian coal-bearing strata are finely identified. Combining experimental testing on porosity and gas content and well testing on permeability, a 3D geological model that integrates the structural model, facies model, and property model was established. Utilizing this model, the total CBM resource volume in the study area was calculated to be 2481.3 × 108 m3. Furthermore, the model is applied to predict the distribution ranges of four types of CBM favorable areas. The workflow is helpful to optimize well deployment and improve CBM resource evaluation, ultimately provide theoretical guidance for subsequent efficient exploration and development. Our study constitutes a reference case for assessing potential of CBM in other blocks due to the successful integration of multiple available of data and its practical applications.

Graphical abstract

Keywords

3D geological modeling / CBM / fine reservoir characterization / Qinshui Basin / Yushe-Wuxiang Block

Cite this article

Download citation ▾
Xiongxiong YANG, Shuheng TANG, Songhang ZHANG, Zhaodong XI, Kaifeng WANG, Zhizhen WANG, Jianwei LV. Applying 3D geological modeling to predict favorable areas for coalbed methane accumulation: a case study in the Qinshui Basin. Front. Earth Sci., https://doi.org/10.1007/s11707-024-1116-z
AUTHOR BIOGRAPHIES

Xiongxiong YANG is a Ph.D candidate at China University of Geoscience, Beijing. He is mainly engaged in the exploration and development of unconventional natural gas, and currently focuses on the development of coalbed methane. E-mail: yangxx@email.cugb.edu.cn

Shuheng TANG is a professor at China University of Geosciences, Beijing. His research interests include coal and coalbed methane geology, oil and gas field development geology, and unconventional oil and gas development theory and technology. He has published more than 200 peer-reviewed articles in professional journals and various academic conferences. As the first accomplisher or leading participant, he undertook more than 40 scientific research projects. Email: tangsh@cugb.edu.cn

Songhang ZHANG is a professor at China University of Geosciences, Beijing. His research interest is coalbed methane geology and development. He is a member of the sixth Youth Working Committee of China Coal Society. He has published more than 60 peer-reviewed articles. Email: zhangsh@cugb.edu.cn

Zhaodong XI is a research lecturer at China University of Geosciences, Beijing. He is mainly engaged in the exploration and development of unconventional natural gas, and currently focuses on the development of shale. Email: xizhaod@cugb.edu.cn

Kaifeng WANG is a Ph.D candidate at China University of Geoscience, Beijing. He is mainly engaged in the exploration and development of unconventional natural gas, and currently focuses on the development of coalbed methane. E-mail: wangkf@email.cugb.edu.cn

Zhizhen WANG is a Ph.D candidate at China University of Geoscience, Beijing. He is mainly engaged in the exploration and development of unconventional natural gas, and currently focuses on the development of coalbed methane. E-mail: 2006200033@cugb.edu.cn

Jianwei LV is a Ph.D candidate at China University of Geoscience, Beijing. He is mainly engaged in the exploration and development of unconventional natural gas, and currently focuses on the development of coalbed methane. E-mail: 276689740@qq.com

References

[1]
Ali A M, Radwan A E, Abd El-Gawad E A, Abdel-Latief A S A (2022). 3D integrated structural, facies and petrophysical static modeling approach for complex sandstone reservoirs: a case study from the Coniacian-Santonian Matulla Formation, July Oilfield, Gulf of Suez, Egypt.Nat Resour Res, 31(1): 385–413
CrossRef Google scholar
[2]
Altowilib A, AlSaihati A, Alhamood H, Alafnan S, Alarifi S (2020). Reserves estimation for coalbed methane reservoirs: a review.Sustainability (Basel), 12(24): 10621
CrossRef Google scholar
[3]
Cai Y D, Liu D M, Yao Y B, Li J G, Qiu Y K (2011). Geological controls on prediction of coalbed methane of No. 3 coal seam in southern Qinshui Basin, north China.Int J Coal Geol, 88: 101–112
CrossRef Google scholar
[4]
Duan L J, Qu L C, Xia Z H, Liu L L, Wang J J (2020). Stochastic modeling for estimating coalbed methane resources.Energy Fuels, 34(5): 5196–5204
CrossRef Google scholar
[5]
FloresR M (2014). Coal and Coalbed Gas: Fueling the Future. Amsterdam: Elsevier
[6]
Fu X, Qin Y, Wang G G X, Rudolph V (2009). Evaluation of coal structure and permeability with the aid of geophysical logging technology.Fuel, 88(11): 2278–2285
CrossRef Google scholar
[7]
Holz M, Kalkreuth W, Banerjee I (2002). Sequence stratigraphy of paralic coal-bearing strata: an overview.Int J Coal Geol, 48(3−4): 147–179
CrossRef Google scholar
[8]
Hou X W, Liu S M, Zhu Y M, Yang Y (2020). Evaluation of gas contents for a multi-seam deep coalbed methane reservoir and their geological controls: in situ direct method versus indirect method.Fuel, 265: 116917
CrossRef Google scholar
[9]
Hu L Y, Chugunova T (2008). Multiple-point geostatistics for modeling subsurface heterogeneity: a comprehensive review.Water Resour Res, 44(11): W11413
CrossRef Google scholar
[10]
Guo Z, Sun L D, Jia A L, Lu T (2015). 3-D geological modeling for tight sand gas reservoir of braided river facies.Pet Explor Dev, 42(1): 83–91
CrossRef Google scholar
[11]
Jiang F J, Jia C Z, Pang X Q, Jiang L, Zhang C L, Ma X Z, Qi Z G, Chen J Q, Pang H, Hu T, Chen D X (2023). Upper Paleozoic total petroleum system and geological model of natural gas enrichment in Ordos Basin, NW China.Pet Explor Dev, 50(2): 281–292
CrossRef Google scholar
[12]
Kadkhodaie A, Rezaee R (2017). Intelligent sequence stratigraphy through a wavelet-based decomposition of well log data.J Nat Gas Sci Eng, 40: 38–50
CrossRef Google scholar
[13]
Kang Y S, Huangfu Y H, Zhang B, He Z P, Jiang S Y, Ma Y Z (2023). Gas oversaturation in deep coals and its implications for coal bed methane development: a case study in Linxing Block, Ordos Basin, China.Front Earth Sci (Lausanne), 10: 1031493
CrossRef Google scholar
[14]
Karacan C O, Olea R A, Goodman G (2012). Geostatistical modeling of the gas emission zone and its in-place gas content for Pittsburgh-seam mines using sequential Gaussian simulation.Int J Coal Geol, 90: 50–71
CrossRef Google scholar
[15]
Leuangthong O, McLennan J A, Deutsch C V (2004). Minimum acceptance criteria for geostatistical realizations.Nat Resour Res, 13: 131–141
CrossRef Google scholar
[16]
Li J, Tang S H, Zhang S H, Li L, Wei J G, Xi Z D, Sun K (2018a). Characterization of unconventional reservoirs and continuous accumulations of natural gas in the Carboniferous-Permian strata, mid-eastern Qinshui basin, China.J Nat Gas Sci Eng, 49: 298–316
CrossRef Google scholar
[17]
Li L J, Liu D M, Cai Y D, Wang Y J, Jia Q F (2021). Coal structure and its implications for coalbed methane exploitation: a review.Energy Fuels, 35(1): 86–110
CrossRef Google scholar
[18]
Li R, Li G F (2022). Coalbed methane industry development framework and its limiting factors in China.Geofluids, 2022: 8336315
CrossRef Google scholar
[19]
Li S, Tang D Z, Pan Z J, Xu H, Tao S, Liu Y F, Ren P F (2018b). Geological conditions of deep coalbed methane in the eastern margin of the Ordos Basin, China: implications for coalbed methane development.J Nat Gas Sci Eng, 53: 394–402
CrossRef Google scholar
[20]
Li S, Qin Y, Tang D Z, Shen J, Wang J J, Chen S D (2023a). A comprehensive review of deep coalbed methane and recent developments in China.Int J Coal Geol, 279: 104369
CrossRef Google scholar
[21]
Li W, Chen T J, Song X, Gong T Q, Liu M Y (2020). Reconstruction of critical coalbed methane logs with principal component regression model: a case study.Energy Explor Exploit, 38(4): 1178–1193
CrossRef Google scholar
[22]
Li W, Zhang J G, Xie J, Xia Y, He Y L (2023b). Application of the wavelet transform and INPEFA in sequence stratigraphy.ACS Omega, 8(3): 3441–3451
CrossRef Google scholar
[23]
Liang J T, Wang H L, Blum M J, Ji X Y (2019). Demarcation and correlation of stratigraphic sequences using wavelet and Hilbert-Huang transforms: a case study from Niger Delta Basin.J Petrol Sci Eng, 182: 106329
CrossRef Google scholar
[24]
Liu B, Chang S L, Zhang S, Chen Q, Zhang J Z, Li Y R, Liu J (2022a). Coalbed methane gas content and its geological controls: research based on seismic-geological integrated method.J Nat Gas Sci Eng, 101: 104510
CrossRef Google scholar
[25]
Liu D M, Jia Q F, Cai Y D, Gao C J, Qiu F, Zhao Z, Chen S Y (2022b). A new insight into coalbed methane occurrence and accumulation in the Qinshui Basin, China.Gondwana Res, 111: 280–297
CrossRef Google scholar
[26]
Liu Y Y, Zhang X W, Guo W, Kang L X, Gao J L, Yu R Z, Sun Y P, Pan M (2022c). Research status of and trends in 3D geological property modeling methods: a review.Appl Sci, 12(11): 5688
CrossRef Google scholar
[27]
Liu Z D, Zhao J Z (2016). Quantitatively evaluating the CBM reservoir using logging data.J Geophys Eng, 13(1): 59–69
CrossRef Google scholar
[28]
Liu Z L, Chen D, Gao Z Y, Wu Y P, Zhang Y Z, Fan K Y, Chang B H, Zhou P, Huang W G, Hu C L (2023). 3D geological modeling of deep fractured low porosity sandstone gas reservoir in the Kuqa Depression, Tarim Basin.Front Earth Sci (Lausanne), 11: 1171050
CrossRef Google scholar
[29]
Lu Y Y, Zhang H D, Zhou Z, Ge Z L, Chen C J, Hou Y D, Ye M L (2021). Current status and effective suggestions for efficient exploitation of coalbed methane in China: a review.Energy Fuels, 35(11): 9102–9123
CrossRef Google scholar
[30]
Lv J T, Zhang M, Huai Y C, Tan C Q, Chen X T, Wang D A (2020). CBM reservoir log and fine geo-model analysis techniques: taking CBM in Surat basin as an example.J China Coal Soc, 45(5): 1824–1834
CrossRef Google scholar
[31]
Ma P H, Shao X J, Huo M Y, Chu Q Z, Huo C L, Liang W B (2018). Concepts and methods for coalbed geology modeling: a case study in the Hancheng mining area, southeastern margin of Ordos Basin.Oil Gas Geol, 39(3): 601–610
CrossRef Google scholar
[32]
Men X Y, Lou Y, Wang Y B, Wang Y Z, Wang L X (2022). Development achievements of China’s CBM industry since the 13th Five–Year Plan and suggestions.Nat Gas Indust, 42(6): 173–178
CrossRef Google scholar
[33]
Moore T A (2012). Coalbed methane: a review.Int J Coal Geol, 101: 36–81
CrossRef Google scholar
[34]
Qin Y, Moore T A, Shen J, Yang Z B, Shen Y L, Wang G (2018). Resources and geology of coalbed methane in China: a review.Int Geol Rev, 60(5−6): 777–812
CrossRef Google scholar
[35]
Quartero E M, Bechtel D, Leier A L, Bentley L R (2014). Gamma-ray normalization of shallow well-log data with applications to the Paleocene Paskapoo Formation, Alberta.Can J Earth Sci, 51(5): 452–465
CrossRef Google scholar
[36]
Ren B, Zhang M, Cui Z H, Li C L, Xia Z H, Gan T, Lau H C (2016). A novel work flow of density-log normalization for coalbed-methane wells: an example from the Surat Basin in Australia.SPE Reservoir Eval Eng, 19(2): 205–213
CrossRef Google scholar
[37]
Ren S P, Yao G Q, Zhang Y (2019). High-resolution geostatistical modeling of an intensively drilled heavy oil reservoir, the BQ 10 block, Biyang Sag, Nanxiang Basin, China.Mar Pet Geol, 104: 404–422
CrossRef Google scholar
[38]
Rotimi O J, Ako B D, Wang Z L (2014). Reservoir characterization and modeling of lateral heterogeneity using multivariate analysis.Energy Explor Exploit, 32(3): 527–552
CrossRef Google scholar
[39]
Salmachi A, Rajabi M, Wainman C, Mackie S, McCabe P, Camac B, Clarkson C (2021). History, geology, in situ stress pattern, gas content and permeability of coal seam gas basins in Australia: a review.Energies, 14(9): 2651
CrossRef Google scholar
[40]
Shi X L, Cui Y J, Xu W K, Zhang J S, Guan Y Q (2020). Formation permeability evaluation and productivity prediction based on mobility from pressure measurement while drilling.Pet Explor Dev, 47(1): 146–153
CrossRef Google scholar
[41]
ShuY, SangS X, ZhouX Z (2023). Geological modeling of coalbed methane reservoirs in the tectonically deformed coal seam group in the Dahebian block, western Guizhou, China. Front Earth Sci, 2023
[42]
Su Y F, Zhang Q H, Qu X R (2018). Evaluation on development potential of deep coalbed methane in middle-east area of Qinshui Coalfield.Coal Sci Technol, 46(5): 185–191
CrossRef Google scholar
[43]
Tao S, Chen S D, Pan Z J (2019). Current status, challenges, and policy suggestions for coalbed methane industry development in China: a review.Energy Sci Eng, 7(4): 1059–1074
CrossRef Google scholar
[44]
Teng J, Yao Y B, Liu D M, Cai Y D (2015). Evaluation of coal texture distributions in the southern Qinshui basin, north China: investigation by a multiple geophysical logging method.Int J Coal Geol, 140: 9–22
CrossRef Google scholar
[45]
Wang G, Qin Y, Xie Y W, Shen J, Zhao L, Huang B, Zhao W Q (2018). Coalbed methane system potential evaluation and favourable area prediction of Gujiao blocks, Xishan coalfield, based on multi-level fuzzy mathematical analysis.J Petrol Sci Eng, 160: 136–151
CrossRef Google scholar
[46]
Wang S, Shao L Y, Wang D D, Sun Q P, Sun B, Lu J (2019). Sequence stratigraphy and coal accumulation of Lower Cretaceous coal-bearing series in Erlian Basin, northeastern China.AAPG Bull, 103(7): 1653–1690
CrossRef Google scholar
[47]
Wei Y L, Zhao L Y, Liu W, Zhang X, Guo Z J, Wu Z L, Yuan S H (2023). Coalbed methane reservoir parameter prediction and sweet-spot comprehensive evaluation based on 3D seismic exploration: a case study in western Guizhou Province, China.Energies, 16(1): 367
CrossRef Google scholar
[48]
Xie W D, Gan H J, Chen C Y, Vandeginste V, Chen S, Wang M, Wang J Y, Yu Z H (2022). A model for superimposed coalbed methane, shale gas and tight sandstone reservoirs, Taiyuan Formation, Yushe-Wuxiang Block, eastern Qinshui Basin.Sci Rep, 12(1): 11455
CrossRef Google scholar
[49]
Xu X K, Meng Z P, Wang Y (2019). Experimental comparisons of multiscale pore structures between primary and disturbed coals and their effects on adsorption and seepage of coalbed methane.J Petrol Sci Eng, 174: 704–715
CrossRef Google scholar
[50]
Yao Y B, Liu D M, Tang D Z, Tang S H, Che Y, Huang W H (2009). Preliminary evaluation of the coalbed methane production potential and its geological controls in the Weibei Coalfield, southeastern Ordos Basin, China.Int J Coal Geol, 78(1): 1–15
CrossRef Google scholar
[51]
Yong H, He W X, Guo B C (2020). Combining sedimentary forward modeling with sequential Gauss simulation for fine prediction of tight sandstone reservoir.Mar Pet Geol, 112: 104044–104115
CrossRef Google scholar
[52]
Zeng B, Li M J, Shi Y, Wang X, Guo H, Ren J H, He X (2023). Delineation and quantification of effective source rocks using 3D geological modeling in a lacustrine basin.Geoenergy Sci Eng, 228: 211955
CrossRef Google scholar
[53]
Zhang M, Fu X H, Zhang Q H, Cheng W P (2019). Research on the organic geochemical and mineral composition properties and its influence on pore structure of coal-measure shales in Yushe-Wuxiang Block, south central Qinshui Basin, China.J Petrol Sci Eng, 173: 1065–1079
CrossRef Google scholar
[54]
Zhou F D, Allinson G, Wang J Z, Sun Q, Xiong D H, Cinar Y (2012). Stochastic modelling of coalbed methane resources: a case study in southeast Qinshui Basin, China.Int J Coal Geol, 99: 16–26
CrossRef Google scholar
[55]
Zhou F D, Yao G Q, Tyson S (2015). Impact of geological modeling processes on spatial coalbed methane resource estimation.Int J Coal Geol, 146: 14–27
CrossRef Google scholar
[56]
Zhou Y, Zhang S H, Tang S H, Yu T C, Feng Z (2020). Gas content modeling of No. 3 coal seam in district 3 of southern Shizhuang block.Coal Geol Explor, 48(1): 96–104
CrossRef Google scholar
[57]
Zhu P, Ma T, Wang X, Li X, Dong Y, Yang W, Teng Z (2023). Wavelet transform coupled with Fischer plots for sequence stratigraphy: a case study in the Linxing area, Ordos Basin, China.Geoenergy Sci Eng, 231: 212306
CrossRef Google scholar

Acknowledgments

This research is funded by the NSFC-Shanxi Coal-based Low Carbon Joint Fund of China (No. U1910205), the National Natural Science Foundation of China (Grant No. 42272197).

RIGHTS & PERMISSIONS

2024 Higher Education Press
AI Summary AI Mindmap
PDF(7138 KB)

Accesses

Citations

Detail

Sections
Recommended

/