IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i20p3882-d276287.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/20/3882/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/20/3882/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Haijun Zhao & Dwayne D. Tannant & Fengshan Ma & Jie Guo & Xuelei Feng, 2019. "Investigation of Hydraulic Fracturing Behavior in Heterogeneous Laminated Rock Using a Micromechanics-Based Numerical Approach," Energies, MDPI, vol. 12(18), pages 1-21, September.
    2. Zenghui Liu & Changlong Du & Hongxiang Jiang & Kai Liu, 2017. "Analysis of Roadheader for Breaking Rock Containing Holes under Confining Pressures," Energies, MDPI, vol. 10(8), pages 1-19, August.
    3. Pengcheng Wu & Chentao Li & Zhen Zhang & Jingwei Yang & Yanzhe Gao & Xianbing Wang & Xiumei Wan & Chengyu Xia & Qunying Guo, 2023. "Research on Cuttings Carrying Principle of New Aluminum Alloy Drill Pipe and Numerical Simulation Analysis," Energies, MDPI, vol. 16(15), pages 1-17, July.
    4. Jianchao Cai & Zhien Zhang & Qinjun Kang & Harpreet Singh, 2019. "Recent Advances in Flow and Transport Properties of Unconventional Reservoirs," Energies, MDPI, vol. 12(10), pages 1-5, May.
    5. Han Cao & Zheng Zhang & Ting Bao & Pinghe Sun & Tianyi Wang & Qiang Gao, 2019. "Experimental Investigation of the Effects of Drilling Fluid Activity on the Hydration Behavior of Shale Reservoirs in Northwestern Hunan, China," Energies, MDPI, vol. 12(16), pages 1-12, August.
    6. Pinghe Sun & Junyi Zhu & Binkui Zhao & Xinxin Zhang & Han Cao & Mingjin Tian & Meng Han & Weisheng Liu, 2019. "Study on the Mechanism of Ionic Stabilizers on Shale Gas Reservoir Mechanics in Northwestern Hunan," Energies, MDPI, vol. 12(12), pages 1-11, June.
    7. Wan Cheng & Chunhua Lu & Bo Xiao, 2021. "Perforation Optimization of Intensive-Stage Fracturing in a Horizontal Well Using a Coupled 3D-DDM Fracture Model," Energies, MDPI, vol. 14(9), pages 1-18, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3882-:d:276287. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.