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Predicting gas content in coalbed methane reservoirs using seismic waveform indication inversion: a case study from the Upper Carboniferous Benxi Formation, eastern Ordos Basin, China

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The identification of gas content is very important for exploration and development of coalbed methane (CBM) reservoirs. As a kind of gas-bearing reservoirs in coal seam, CBM reservoirs usually show strong heterogeneity, which makes the gas content varies greatly in the strata. What’s more, the thin interlayer that is common in coal-bearing formation makes it difficult to predict the favorable gas-bearing distribution based on conventional methods. In this study, a seismic waveform indication inversion method was applied to reveal the gas content of No. 8 coal seam reservoirs in the Upper Carboniferous Benxi Formation of the DJ area in the eastern of the Ordos Basin, China. The first step of this method is to calculate the p-wave impedance inversion volume of No. 8 coal seam. The second step is to build the correlation between elastic parameters and gas content in No. 8 coal seam. Through the statistical analysis based on velocity, density, p-wave impedance and measured gas content data of 16 wells, the fitting formula between p-wave impedance and gas content is obtained, with a highest correlation coefficient up to 96%. The third step is to calculate the gas content data volume from the p-wave impedance inversion volume by the above fitting formula, and then the quantitative plane distribution of gas content in No. 8 coal seam can be predicted. The prediction results indicate that the gas content of No. 8 coal seam can be divided into two Classes. To verify the reliability of the inversion results, the production data of well X11 was applied to verify the gas content which located in the Class I area. The application of seismic waveform indication inversion has provided a precise prediction for the spatial distribution of gas content in CBM reservoirs, serving as a basis for locating and designing wells for CBM development.
Czasopismo
Rocznik
Strony
623--638
Opis fizyczny
Bibliogr. 43 poz.
Twórcy
autor
  • School of Petroleum Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
autor
  • School of Petroleum Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
autor
  • School of Petroleum Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
autor
  • School of Petroleum Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
Bibliografia
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  • 19. Li S, Tang DZ, Pan ZJ et al (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
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  • 23. Liu HH, Sang SX, Wang GX et al (2014) Block scale investigation on gas content of coalbed methane reservoirs in southern Qinshui basin with statistical model and visual map. J Pet Sci Eng 114:1–14
  • 24. Liu YL, Xu H, Tang DZ et al (2020a) Coalbed methane production of a heterogeneous reservoir in the Ordos Basin, China. J Nat Gas Sci Eng 82:103502
  • 25. Liu YW, Du Y, Li ZQ et al (2020b) A rapid and accurate direct measurement method of underground coal seam gas content based on dynamic diffusion theory. Int J Min Sci Technol 30(9):799–810
  • 26. Lu YL, Wang LJ, Wang YC (2017) Analysis of the development situation and the trend of coalbed methane industry in China. China Min Mag 26(z1):19–22 (in Chinese with English abstract)
  • 27. Men XY, Han Z, Gao BS (2017) Present situation and development suggestions of CBM exploration and development in China. China Min Mag 26(z2):1–4 (in Chinese with English abstract)
  • 28. Men XY, Han Z, Gong HJ et al (2018) Challenges and opportunities of CBM exploration and development in China under new situations. Nat Gas Ind 38(9):10–16 (in Chinese with English abstract)
  • 29. Pan RF, Gao HN, Lei KH et al (2015) Quantitative prediction of coalbed gas content based on seismic multiple-attribute analyses. J Eng Technol Sci 47(4):447–462
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  • 34. Wang FT, Guo SB (2019) Shale gas content evolution in the Ordos Basin. Int J Coal Geol 211:103231
  • 35. Wang H, Yao YB, Liu DM et al (2016a) Fault-sealing capability and its impact on coalbed methane distribution in the Zhengzhuang field, southern Qinshui Basin, North China. J Nat Gas Sci Eng 28:613–625
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  • 37. Wei P, Guo CG, Zhao S et al (2019) Determination of appropriate sampling depth of coalbed gas content: a case study. J Geophys Eng 16(2):411–422
  • 38. Xu FY, Xiao ZH, Chen D et al (2019) Current status and development direction of coalbed methane exploration technology in China. Coal Sci Technol 47(10):205–215 (in Chinese with English abstract)
  • 39. Xu HJ, Pan ZJ, Hu BL et al (2020) A new approach to estimating coal gas content for deep core sample. Fuel 277:118246
  • 40. Xue S, Yuan L (2017) The use of coal cuttings from underground boreholes to determine gas content of coal with direct desorption method. Int J Coal Geol 174:1–7
  • 41. Yang T, Yue YX, Wu Y (2018) Application of the waveform inversion in reservoir prediction. Prog Geophys 32(2):769–776 (in Chinese)
  • 42. Zhang S, Huang HD, Dong YP et al (2017) Direct estimation of the fluid properties and brittleness via elastic impedance inversion for predicting sweet spots and the fracturing area in the unconventional reservoir. J Nat Gas Sci Eng 45:415–427
  • 43. Zunu P, Xiang M, Zhang FW (2019) Study on logging interpretation of coal-bed methane content based on deep learning. Acta Geophys 67(2):589–596
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9c8ef0da-143b-4644-83e1-feef2a8e8bc9
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