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Application of Dipole Array Acoustic Logging in the Evaluation of Shale Gas Reservoirs

Author

Listed:
  • Wenrui Shi

    (State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China
    School of Geocience and Technology, Southwest Petroleum University, Chengdu 610500, China)

  • Xingzhi Wang

    (State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China
    School of Geocience and Technology, Southwest Petroleum University, Chengdu 610500, China)

  • Yuanhui Shi

    (Logging Company of Sinopec Oilfield Service Jianghan Corporation, Qianjiang 433123, China)

  • Aiguo Feng

    (Logging Company of Sinopec Oilfield Service Jianghan Corporation, Qianjiang 433123, China)

  • Yu Zou

    (Gudong Oil Production Plant, Shengli Oilfield of Sinopec, Dongying 257237, China)

  • Steven Young

    (Business School, Thomas Jefferson University, Philadelphia, PA 19144, USA)

Abstract

In order to effectively evaluate shale gas reservoirs with low porosity, extra-low permeability, and no natural productivity, dipole array acoustic logging, which can provide various types of information including P-wave slowness (DTC) and S-wave slowness (DTS), is widely used. As the dipole array acoustic logging tool has a larger investigation depth and is suitable for complex borehole environments, such as those with a high wellbore temperature, high drilling fluid column pressure, or irregular borehole wall, it has been mainly applied to the evaluation of lithology, gas potential, fractures, and stimulation potential in shale gas reservoirs. The findings from a case study of the Sichuan Basin in China reveal that the acoustic slowness, S-P wave slowness ratio (RMSC), and S-wave anisotropy of the dipole array acoustic logging can be used to qualitatively identify reservoir lithology, gas potential, and fractures. Using the relationship between DTC and the total porosity of shale gas reservoirs, and combined with the compensated neutron (CNL) and shale content (V sh ) of the reservoir, a mathematical model for accurately calculating the total porosity of the shale gas reservoir can be established. By using the relationship between the RMSC and gas saturation in shale gas reservoirs and tied with density log (DEN), a mathematical model of gas saturation can be established, and the determination of gas saturation by the non-resistivity method can be achieved, delivering a solution to the issue that the electric model is not applicable under low resistivity conditions. The DTS, DTC, and DEN of shale can be used to calculate rock mechanic parameters such as the Poisson’s ratio (POIS) and Young’s modulus (YMOD), which can be used to evaluate the shale stimulation potential.

Suggested Citation

  • Wenrui Shi & Xingzhi Wang & Yuanhui Shi & Aiguo Feng & Yu Zou & Steven Young, 2019. "Application of Dipole Array Acoustic Logging in the Evaluation of Shale Gas Reservoirs," Energies, MDPI, vol. 12(20), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3882-:d:276287
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    References listed on IDEAS

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    1. Zhuoying Fan & Jiagen Hou & Xinmin Ge & Peiqiang Zhao & Jianyu Liu, 2018. "Investigating Influential Factors of the Gas Absorption Capacity in Shale Reservoirs Using Integrated Petrophysical, Mineralogical and Geochemical Experiments: A Case Study," Energies, MDPI, vol. 11(11), pages 1-12, November.
    2. Han Cao & Tianyi Wang & Ting Bao & Pinghe Sun & Zheng Zhang & Jingjing Wu, 2018. "Effective Exploitation Potential of Shale Gas from Lower Cambrian Niutitang Formation, Northwestern Hunan, China," Energies, MDPI, vol. 11(12), pages 1-18, December.
    3. Jianming He & Zhaobin Zhang & Xiao Li, 2017. "Numerical Analysis on the Formation of Fracture Network during the Hydraulic Fracturing of Shale with Pre-Existing Fractures," Energies, MDPI, vol. 10(6), pages 1-10, May.
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    Cited by:

    1. Zehou Xiang & Kesai Li & Hucheng Deng & Yan Liu & Jianhua He & Xiaoju Zhang & Xianhong He, 2021. "Research on Test and Logging Data Quality Classification for Gas–Water Identification," Energies, MDPI, vol. 14(21), pages 1-18, October.
    2. Shi, Wenrui & Zhang, Chaomo & Jiang, Shu & Liao, Yong & Shi, Yuanhui & Feng, Aiguo & Young, Steven, 2022. "Study on pressure-boosting stimulation technology in shale gas horizontal wells in the Fuling shale gas field," Energy, Elsevier, vol. 254(PB).

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