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Experimental study of logging petrophysical parameters is very important for the establishment of logging evaluation model of coalbed methane reservoir. The acoustic and resistivity measurements of coal rock samples taken from the southern Qinshui Basin in China were measured under dry and saturated conditions of different salinity solutions. The variation laws of acoustic velocity and waveform with saturated salinity were analyzed. The changes of resistivity with temperature and pressure conditions were also analyzed. With the increase in salinity, acoustic velocity showed parabolic attenuation characteristics. The fluid content of coal samples can be judged by the acoustic wave. The waveform of dry coal sample presented multiple excitation state, and the waveform had larger fluctuation and smaller amplitude. The waveform of saturated salinity coal sample presented stable and smooth fluctuation characteristics. The resistivity of coal rock decreased exponentially with the increase in pressure. The property of fluid in pores can be judged by the sensitivity of resistivity of coal rock to temperature.
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Rocznik
Tom
Strony
1241--1249
Opis fizyczny
Bibliogr. 31 poz., rys., tab.
Twórcy
autor
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, China
- Key Laboratory of Tectonics and Petroleum Resources (China University of Geosciences), Ministry of Education, Wuhan 430074, China
autor
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, China
autor
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, China
autor
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, China
autor
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, China
autor
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, China
Bibliografia
- 1. Abda Z, Chettih M (2018) Forecasting daily flow rate-based intelligent hybrid models combining wavelet and Hilbert–Huang transforms in the mediterranean basin in northern Algeria. Acta Geophys 66:1131–1150
- 2. Abd-el-Malek MB, Hanna SS (2020) The Hibert transform of cubic splines. Commun Nonlinear Sci 80:104983
- 3. Aziz N, Porter I, Sereshki F (2004) The influence of gas environment on coal properties-experimental studies on outburst control. Underground coal operators’ conference, Wollongong, Sydney, pp 195–201
- 4. Andhumoudine AB, Nie X, Zhou QB, Yu J, Kane OI, Jin LD (2021) Investigation of coal elastic properties based on digital core technology and finite element method. Adv Geo-Energy Res 5(1):53–63
- 5. Banerjee A, Chatterjee R (2021a) Fracture analysis using Stoneley waves in a coalbed methane reservoir. Near Surf Geophys. https://doi.org/10.1002/nsg.12176
- 6. Banerjee A, Chatterjee R (2021b) A methodology to estimate proximate and gas content saturation with lithological classification in coalbed methane reservoir, Bokaro Field India. Nat Resour Res 30(3):2413–2429
- 7. Chen Y, Huang TF, Liu ER (2009) Rock physics. China University of Science and Technology Press (in Chinese)
- 8. Cai YD, Liu DM, Yao YB, Li ZT, Pan ZJ (2014) Partial coal pyrolysis and its implication to enhance coalbed methane recovery, part I: an experimental investigation. Fuel 132:12–19
- 9. Chen XJ, Jia LQ, Jia T (2022) China achieved fruitful results in oil-shale gas-coalbed methane exploration and development in 2021. China Geol 5:355–356
- 10. Faiz M, Saghaf A, Sherwood N, Wang I (2007) The influence of petrological properties and burial history on coal seam methane reservoir characterization, Sydney Basin, Australia. Int J Coal Geol 70:193–208
- 11. Gan T, Balmain B, Sigbatullin A (2016) Formation evaluation logoff results comparing new generation mining-style logging tools to conventional oil and gas logging tools for application in coalbed methane (CBM) field development. J Nat Gas Sci Eng 34:1237–1250
- 12. He YL, Wang XK, Sun HJ, Xing ZG, Chong S, Xu DJ, Feng FS (2019) Coal seam roof: lithology and influence on the enrichment of coalbed methane. Earth Sci Res J 23(4):359–364
- 13. Jaya MS, Shapiro SA, Kristinsdóttir LH, Bruhn D, Milsch H, Spangenberg E (2010) Temperature dependence of seismic properties in geothermal rocks at reservoir conditions. Geothermics 39(1):115–123
- 14. Jia QF, Liu DM, Cai YD, Fang XL, Li LJ (2020) Petrophysics characteristics of coalbed methane reservoir: a comprehensive review. Front Earth Sci 15(2):202–223
- 15. Klionskiy D, Kupriyanov M, Kaplun D (2017) Signal denoising based on empirical mode decomposition. J Vibroeng 19(7):5560–5570
- 16. Liu JF, Spiers CJ, Peach C, Vidal-Gilbert S (2016) Effect of lithostatic stress on methane sorption by coal: theory vs. Experiment and implications for predicting in-situ coalbed methane content. Int J Coal Geol 167:48–64
- 17. Li LJ, Liu DM, Cai YD, Wang YJ, Jia QF (2021a) Coal structure and its implications for coalbed methane exploitation: a review. Energy Fuel 35(1):86–110
- 18. Li X, Zhang J, Li RX, Qi Q, Zheng YD, Li CN, Li B, Wu CJ, Hong TY, Wang Y, Du XX, Zhao ZP, Liu X (2021b) Numerical simulation research on improvement effect of ultrasonic waves on seepage characteristics of coalbed methane reservoir. Energies 14(15):4605
- 19. Li H, Lin J, Liu NH, Li FY, Gao JH (2020) Seismic reservoir delineation via Hankel transform based enhanced empirical wavelet transform. IEEE Geosci Remote Sens Lett 17(8):1411–1414
- 20. Liu YQ, Lai FQ, Huang ZH, Chen Z, Kou XP, Jiang GQ, Zang YQ (2022) Response characteristics of gas and water layers in tight sandstone reservoirs based on variational mode decomposition of array acoustic logging signals. Acta Geophys. https://doi.org/10.1007/s11600-022-00838-z
- 21.Lupton N, Connell L, Heryanto D, Sander R, Camilleri M, Down DI, Pan ZJ (2020) Enhancing biogenic methane generation in coalbed methane reservoirs—core flooding experiments on coals at in-situ conditions. Int J Coal Geol 219:103377
- 22. Li BK, Nie X, Cai JC, Zhou XQ, Wang CC, Han DL (2022a) U-net model for multi-component digital rock modeling of shales based on CT and QEMSCAN images. J Pet Sci Eng 216:110734
- 23. Li SQ, Zhou ZS, Peng SX, Yang Y, Zeng WZ, Chen KY (2022b) Improving the resolution of seismic data based on S-transform and modified variational mode decomposition, an application to Songliao Basin, Northeast China. Acta Geophys 70:1103–1113
- 24. Mullen MJ (1989) Coalbed methane resource evaluation from wireline logs in the northeastern San Juan basin: a case study. Soc Pet Eng. https://doi.org/10.2118/18946-MS
- 25. Pan JN, Mou PW, Ju YW, Wang K, Zhu QZ, Ge TY, Yu K (2022) Micro-nano-scale pore stimulation of coalbed methane reservoirs caused by hydraulic fracturing experiments. J Pet Sci Eng 214:110512
- 26. Shea JJ (2020) Introduction to wavelet transforms. IEEE Electr Insul Mag 36(6):65–66
- 27. Wu GN, Zhou YT (2018) Seismic data analysis using synchrosqueezing short time Fourier transform. J Geophys Eng 15(4):1663–1672
- 28. Xia P, Zeng FG, Song XX (2016) Parameters controlling high-yield coalbed methane vertical wells in the B3 area, Xishan coal field,Shanxi. China Energy Explor Exploit 34(5):711–734
- 29. Zhang GL (2018) Time-phase amplitude spectra based on a modified short-time Fourier transform. Geophys Prospect 66(1):34–46
- 30. Zheng J, Zhu GW, Liu MC (2015) Vibrator data denoising based on fractional wavelet transform. Acta Geophys 63:776–788
- 31. Zhu L, Ma Y, Cai J, Zhang CM, Wu SG, Zhou XQ (2022) Key factors of marine shale conductivity in southern China—Part II: the influence of pore system and the development direction of shale gas saturation models. J Pet Sci Eng 209:109516
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-27d6ccba-8cd9-4424-8279-ad2b8d0e06f9