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

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

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

[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

[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

[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

[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

[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

[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

[9] Hu L Y, Chugunova T (2008). Multiple-point geostatistics for modeling subsurface heterogeneity: a comprehensive review.Water Resour Res, 44(11): W11413

[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

[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

[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

[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

[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

[15] Leuangthong O, McLennan J A, Deutsch C V (2004). Minimum acceptance criteria for geostatistical realizations.Nat Resour Res, 13: 131–141

[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

[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

[18] Li R, Li G F (2022). Coalbed methane industry development framework and its limiting factors in China.Geofluids, 2022: 8336315

[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

[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

[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

[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

[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

[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

[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

[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

[27] Liu Z D, Zhao J Z (2016). Quantitatively evaluating the CBM reservoir using logging data.J Geophys Eng, 13(1): 59–69

[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

[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

[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

[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

[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

[33] Moore T A (2012). Coalbed methane: a review.Int J Coal Geol, 101: 36–81

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

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