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Anisotropy measurements and characterization of the Qingshankou shale

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Abstract

Qingshankou shale (Gulong area, China) exhibits strong acoustic anisotropy characteristics, posing significant challenges to its exploration and development. In this study, the five full elastic constants and multipole response law of the Qingshankou shale were studied using experimental measurements. Analyses show that the anisotropy parameters ϵ and γ in the study region are greater than 0.4, whereas the anisotropy parameter δ is smaller, generally 0.1. Numerical simulations show that the longitudinal and transverse wave velocities of these strong anisotropic rocks vary significantly with inclination angle, and significant differences in group velocity and phase velocity are also present. Acoustic logging measures the group velocity in dipped boreholes; this differs from the phase velocity to some extent. As the dip angle increases, the longitudinal and SH wave velocities increase accordingly, while the qSV-wave velocity initially increases and then decreases, reaching its maximum value at a dip of approximately 40°. These results provide an effective guide for the correction and modeling of acoustic logging time differences in the region.

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References

  • WANG Yuhua, LIANG Jiang**, ZHANG **you, et al. Resource potential and exploration direction of Gulong shale oil in Songliao Basin[J]. Petroleum Geology & Oilfield Development in Daqing, 2020, 39(3): 20–34.

    CAS  Google Scholar 

  • SUN Longde, LIU He, HE Wenyuan, et al. An analysis of major scientific problems and research paths of Gulong shale oil in Daqing Oilfield, NE China[J]. Petroleum Exploration and Development, 2021, 48(3): 453–463.

    Article  Google Scholar 

  • XU Fenglin, CHEN Qiao, ZHU Honglin, et al. Response analysis of shale bedding structure to ultrasonic characteristics and its application[J]. Petroleum Exploration and Development, 2019, 46(1): 79–88.

    Article  Google Scholar 

  • VERNNIK L, LIU X Z. Velocity anisotropy in shales: A petrophysical study. Geophysics, 1997, 62(2): 521–532.

    Article  Google Scholar 

  • XU Fenglin, CHEN Qiao, ZHU Honglin, et al. Response analysis of shale bedding structure to ultrasonic characteristics and its application[J]. Petroleum Exploration and Development, 2019, 46(1): 79–88.

    Article  Google Scholar 

  • LI Ning, YAN Weilin, WU Hongliang, et al. Current situation, problems and countermeasures of the well-logging evaluation technology for Gulong shale oil [J]. Petroleum Geology & Oilfield Development in Daqing, 2020, 39(3): 117–129.

    Google Scholar 

  • KUANG Lichun, HOU Lianhua, YANG Zhi, WU Songtao, Key parameters and methods of lacustrine shale oil reservoir characterization [J]. Acta Petrolei Sinica, 2021, 42(1): 1–14.

    Google Scholar 

  • LIU Bo, HE Jia, Lv Yanfang, et al, Parameters and method for shale oil assessment: taking Qinshankou Formation shale oil of northern Songliao Basin [J]. Journal of Central South University: Science and Technology, 2014, 45(11): 3846–3852.

    CAS  Google Scholar 

  • HENG Jiandong, WANG Chunyan, ZHANG Huabing, etal. Logging evaluating methods of seven property parameters and enriched layers for Gulong shale oil reservoir in Songliao Basin[J], Petroleum Geology & Oilfield Development in Daqing, 2021,40(5):87–97.

    Google Scholar 

  • CHEN Shumin, HAN Dehua, ZHAO Haibo, et al. Seismic petrophysical characteristics and predicting technique of the sweet spots in Gulong shale oil reservoirs of Songliao Basin[J]. Petroleum Geology & Oilfield Development in Daqing, 2020, 39(3):107–116.

    Google Scholar 

  • ZHANG Zhaoqian, YAN Weilin, YIN Shujun, et al. Prediction of elastic coefficient in anisotropic geostress models for Gulong shale, Songliao Basin, NE China[J]. Petroleum Exploration and Development, 2023, 50(5): 1–10.

    CAS  Google Scholar 

  • Zhao Haibo, Han Dehua, Li Kuizhou, etal. Cross-band petrophysical measurements of Gulong shalein Songliao Basin[J]. Petroleum Geology & Oilfield Development in Daqing, 2021, 40(5): 98–105.

    Google Scholar 

  • Tang X M, Chunduru R K. Simultaneous inversion of formation shear-wave anisotropy parameters from cross-dipole acoustic-array waveform data[J]. Geophysics. 1999, 64: 1502–1511.

    Article  Google Scholar 

  • Xu S, Tang X M, Su Y D, et al. Determining formation S-wave transverse isotropy from borehole flexural-wave dispersion data[J]. Geophysics. 2017, 82: D47–D55.

    Article  Google Scholar 

  • Zeng F, Yue W, Li C. Simultaneous anisotropy inversion and type identification in the frequency domain for flexural waves in horizontal transverse isotropic media[J]. Geophysics. 2018, 83: C221–C237.

    Article  Google Scholar 

  • Sinha B K, Norris A N, Chang S K. Borehole flexural modes in anisotropic formations[J]. Geophysics. 1994, 59: 1037.

    Article  Google Scholar 

  • Sinha B K, Kostek S. 1996. Stress-induced azimuthal anisotropy in borehole flexural waves [J]. Geophysics, 61(6): 1899–1907.

    Article  Google Scholar 

  • Song Yunhong, Chen Hao, Wang **uming. Stepwise inversion method for anisotropy parameters in HTI formation. Applied Geophysics, 2019, 16(2):233–242.

    Article  Google Scholar 

  • Wang R J, Qiao W X, Ju X D, et al. Experimental study of the acoustic field in the borehole surrounded by HTI formationsexcited by dipole sources with different orientations. Chinese J, Geophys, (in Chinese), 2013, 56(2):707–717.

    Google Scholar 

  • Zhenya Zhu, Shihong Chi, and M. Nafi Toksöz, (2007), “Sonic logging in deviated boreholes penetrating an anisotropic formation: Laboratory study,” GEOPHYSICS 72: E125–E134

    Article  Google Scholar 

  • Sone, H., and M. D. Zoback, 2013, Mechanical properties of shale gasreservoir rocks — Part 1: Static and dynamic elastic properties and anisotropy: Geophysics, 78, D381–392

    Article  Google Scholar 

  • Zhao, L., Cai, Z., Qin, X., Wang, Y., etal. An empirical elastic anisotropy prediction model in self-sourced reservoir shales and its influencing factor analysis, Geophysics, 2023, 88(3), MR117–MR126.

    Article  Google Scholar 

  • LI X S, LIU X J, LIANG L X, et al. Correction methods for acoustic anisotropy of bedding shale[J]. Reservoir Evaluation and Development, 2020, 10(5): 49–54.

    Google Scholar 

  • Douglas E. Miller, Steve A. Horne, and John Walsh, (2012), “Precise inversion of logged slownesses for elastic parameters in a gas shale formation,” GEOPHYSICS 77: B197–B206. doi:https://doi.org/10.1190/geo2011-0334.1

    Article  Google Scholar 

  • Hornby, B., J. Howie, and D. Ince, 2003, Anisotropy correction for deviated-well sonic logs: Application to seismic well tie: Geophysics, 68, 464–471, doi: https://doi.org/10.1190/1.1567214.

    Article  Google Scholar 

  • Qiao Yuedong, Sun Jianmeng, Geng Zengbo, New Methods of Shale Acoustic Velocity Anisotropy Correction in Deviated Wells [J]. Journal of Oil and Gas Technology, 2010, 32(5), 104–108.

    Google Scholar 

  • Hu Song, Wang Min, Liu Weinan, etal. Anisotropy correction method for acoustic time difference in horizontal shale wells and its application[J]. Acta Petrolei Sinica, 2022, 43(1): 58–66.

    Google Scholar 

  • Luan, **nyuan; Di, Bangrang; Wei, Jianxin; Zhao, Jianguo; Li, **angyang (2016). Creation of synthetic samples for physical modelling of natural shale. Geophysical Prospecting, 64(4), 898–914. doi:https://doi.org/10.1111/1365-2478.12382

    Article  Google Scholar 

  • Lev Vernik and Amos Nur, (1992), “Ultrasonic velocity and anisotropy of hydrocarbon source rocks,” GEOPHYSICS 57: 727–735. https://doi.org/10.1190/1.1443286

    Article  Google Scholar 

  • **ao Z, Zhao J, Zhong Q, Ouyang F, Liu X, Yan B, Li Z, Ma M, Wang B, Wang X. 2023. Anisotropic dispersion mechanism of inter-salt shale oil reservoir in terrestrial saline lake sediments using cross-band experiments. Science China Earth Sciences, 66(7): 1603–1621.

    Article  CAS  Google Scholar 

  • Liu He, Wang Bing, Tao Guo, etal. Study on the simulation of acoustic logging measurements in horizontal and deviated wells[J]. Applied Geophysics, 2017, 14(3): 337–350.

    Article  Google Scholar 

  • Ralph A Stephen, F Cardo-Casas, and CH Cheng. Finite-difference synthetic acoustic logs. Geophysics, 50(10):1588–1609, 1985

    Article  Google Scholar 

  • HD Leslie and CJ Randall. Multipole sources in boreholes penetrating anisotropic formations: Numerical and experimental results. The Journal of the Acoustical Society of America, 91(1):12–27, 1992.

    Article  Google Scholar 

  • Ningya Cheng, CH Cheng, and MN Toksöz. Borehole wave propagation in three dimensions. The Journal of the Acoustical Society of America, 97(6): 3483–3493, 1995.

    Article  Google Scholar 

  • Bikash K Sinha, Ergün Şimşek, and Qing-Huo Liu. Elastic-wave propagation in deviated wells in anisotropic formations. Geophysics, 2006, 71(6):D191–D202.

    Article  Google Scholar 

  • Wang, X. M., Hornby, B., and Dodds, K., 2002, Dipole sonic response in deviated boreholes penetrating an anisotropic formation: 72th Ann. Internat. Mtg, Soc. Expl. Geophys., Expanded Abstracts, 360–363.

  • Wang **g, Chen De-Hua, Zhang Hai-Lan, etal. Studies on phase and group velocities from acoustic Logging[J], Applied Geophysics, 2012, 9(1):108–113.

    Article  CAS  Google Scholar 

  • Chi, S., X. M. Tang. Accurate Approximations to qSV and qP Wave Speeds in TIV Media and Stoneley Wave Speed in General Anisotropic Media. SPWLA 44th Annual Logging Symposium, 2003

  • Paul J Fowler, Practical VTI approximations: a systematic anatomy[J], Journal of Applied Geophysics, 2003, 54(3–4), 347–367.

    Article  Google Scholar 

  • Fomel, S. (2004), On anelliptic approximations for qP velocities in VTI media. Geophysical Prospecting, 52: 247–259. https://doi.org/10.1111/j.1365-2478.2004.00413.x

    Article  Google Scholar 

  • Yan F., Han D.-H. and Yao Q. Physical constraints on c13 and δfor transversely isotropic hydrocarbon source rocks[J]. Geophysical Prospecting. 2015, 57, 393–411.

    Google Scholar 

Download references

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Correspondence to Hao Chen.

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This work was supported by Major Science and Technology Special Project of China National Petroleum Corporation “Research on Large scale Storage and Production Increase and Exploration and Development Technology of Continental Shale Oil” (2023ZZ15)

Chen Hao received the Ph.D. degree from the Institute of Acoustics, Chinese Academy of Sciences Bei**g, in 2007.

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Li, Qf., Yan, Xh., Yan, Wl. et al. Anisotropy measurements and characterization of the Qingshankou shale. Appl. Geophys. (2024). https://doi.org/10.1007/s11770-024-1102-y

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  • DOI: https://doi.org/10.1007/s11770-024-1102-y

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