IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v247y2019icp32-39.html
   My bibliography  Save this article

Exploration and casting of large scale microscopic pathways for shale using electrodeposition

Author

Listed:
  • Jin, Xu
  • Wang, Xiaoqi
  • Yan, Weipeng
  • Meng, Siwei
  • Liu, Xiaodan
  • Jiao, Hang
  • Su, Ling
  • Zhu, Rukai
  • Liu, He
  • Li, Jianming

Abstract

In unconventional petroleum reservoirs, such as shale gas, shale oil, tight oil, and tight gas reservoirs, the microscopic pore structure, namely, the size, geometry, distribution, and interconnected relations of the pores and throats of a shale rock, directly affects the porosity, storage, and permeability. Studies related to the microscopic pore structure of shale are considered important for evaluating shale resources and for elucidating their distribution characteristics; additionally, these studies aim to improve the productivity and recovery ratio of both oil and gas. Therefore, methods that can accurately characterize the microscopic pore structure of shale have received considerable attention. In this study, we used the electrodeposition method to fill the interconnected pores of a rock sheet with metal and then used selective dissolution of the rock portion of the rock sheet to obtain the metal complex of the pore-throat structure. The structure and morphology of the obtained metal complex, which represents the microscopic pore structure of the shale, are characterized by a scanning electron microscope (SEM). By combining electrochemical deposition and SEM images, we could directly observe the three-dimensional microstructure of the shale at a scale smaller than 50 nm with a large observation area. Additionally, the surface areas of the connected pores and throats of the shale were calculated.

Suggested Citation

  • Jin, Xu & Wang, Xiaoqi & Yan, Weipeng & Meng, Siwei & Liu, Xiaodan & Jiao, Hang & Su, Ling & Zhu, Rukai & Liu, He & Li, Jianming, 2019. "Exploration and casting of large scale microscopic pathways for shale using electrodeposition," Applied Energy, Elsevier, vol. 247(C), pages 32-39.
  • Handle: RePEc:eee:appene:v:247:y:2019:i:c:p:32-39
    DOI: 10.1016/j.apenergy.2019.03.197
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919306130
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2019.03.197?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Weijermars, Ruud, 2015. "Shale gas technology innovation rate impact on economic Base Case – Scenario model benchmarks," Applied Energy, Elsevier, vol. 139(C), pages 398-407.
    2. Han, X.X. & Jiang, X.M. & Cui, Z.G., 2009. "Studies of the effect of retorting factors on the yield of shale oil for a new comprehensive utilization technology of oil shale," Applied Energy, Elsevier, vol. 86(11), pages 2381-2385, November.
    3. Kim, Tae Hong & Cho, Jinhyung & Lee, Kun Sang, 2017. "Evaluation of CO2 injection in shale gas reservoirs with multi-component transport and geomechanical effects," Applied Energy, Elsevier, vol. 190(C), pages 1195-1206.
    4. Chen, Yuntian & Jiang, Su & Zhang, Dongxiao & Liu, Chaoyang, 2017. "An adsorbed gas estimation model for shale gas reservoirs via statistical learning," Applied Energy, Elsevier, vol. 197(C), pages 327-341.
    5. Nguyen, Phong & Carey, J. William & Viswanathan, Hari S. & Porter, Mark, 2018. "Effectiveness of supercritical-CO2 and N2 huff-and-puff methods of enhanced oil recovery in shale fracture networks using microfluidic experiments," Applied Energy, Elsevier, vol. 230(C), pages 160-174.
    6. Wang, Ke & Li, Haitao & Wang, Junchao & Jiang, Beibei & Bu, Chengzhong & Zhang, Qing & Luo, Wei, 2017. "Predicting production and estimated ultimate recoveries for shale gas wells: A new methodology approach," Applied Energy, Elsevier, vol. 206(C), pages 1416-1431.
    7. Zou, Youqin & Yang, Changbing & Wu, Daishe & Yan, Chun & Zeng, Masun & Lan, Yingying & Dai, Zhenxue, 2016. "Probabilistic assessment of shale gas production and water demand at Xiuwu Basin in China," Applied Energy, Elsevier, vol. 180(C), pages 185-195.
    8. Middleton, Richard S. & Gupta, Rajan & Hyman, Jeffrey D. & Viswanathan, Hari S., 2017. "The shale gas revolution: Barriers, sustainability, and emerging opportunities," Applied Energy, Elsevier, vol. 199(C), pages 88-95.
    9. Niu, Mengting & Wang, Sha & Han, Xiangxin & Jiang, Xiumin, 2013. "Yield and characteristics of shale oil from the retorting of oil shale and fine oil-shale ash mixtures," Applied Energy, Elsevier, vol. 111(C), pages 234-239.
    10. Weijermars, Ruud, 2014. "US shale gas production outlook based on well roll-out rate scenarios," Applied Energy, Elsevier, vol. 124(C), pages 283-297.
    11. Saif, Tarik & Lin, Qingyang & Gao, Ying & Al-Khulaifi, Yousef & Marone, Federica & Hollis, David & Blunt, Martin J. & Bijeljic, Branko, 2019. "4D in situ synchrotron X-ray tomographic microscopy and laser-based heating study of oil shale pyrolysis," Applied Energy, Elsevier, vol. 235(C), pages 1468-1475.
    12. Yuan, Jiehui & Luo, Dongkun & Feng, Lianyong, 2015. "A review of the technical and economic evaluation techniques for shale gas development," Applied Energy, Elsevier, vol. 148(C), pages 49-65.
    13. Saif, Tarik & Lin, Qingyang & Butcher, Alan R. & Bijeljic, Branko & Blunt, Martin J., 2017. "Multi-scale multi-dimensional microstructure imaging of oil shale pyrolysis using X-ray micro-tomography, automated ultra-high resolution SEM, MAPS Mineralogy and FIB-SEM," Applied Energy, Elsevier, vol. 202(C), pages 628-647.
    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. Wei, Jianguang & Yang, Erlong & Li, Jiangtao & Liang, Shuang & Zhou, Xiaofeng, 2023. "Nuclear magnetic resonance study on the evolution of oil water distribution in multistage pore networks of shale oil reservoirs," Energy, Elsevier, vol. 282(C).
    2. Wang, Hui & Chen, Li & Qu, Zhiguo & Yin, Ying & Kang, Qinjun & Yu, Bo & Tao, Wen-Quan, 2020. "Modeling of multi-scale transport phenomena in shale gas production — A critical review," Applied Energy, Elsevier, vol. 262(C).
    3. Huang, Jingwei & Jin, Tianying & Barrufet, Maria & Killough, John, 2020. "Evaluation of CO2 injection into shale gas reservoirs considering dispersed distribution of kerogen," Applied Energy, Elsevier, vol. 260(C).
    4. Yang, Xianyu & Cai, Jihua & Jiang, Guosheng & Xie, Jingyu & Shi, Yanping & Chen, Shuya & Yue, Ye & Yu, Lang & He, Yichao & Xie, Kunzhi, 2020. "Nanoparticle plugging prediction of shale pores: A numerical and experimental study," Energy, Elsevier, vol. 208(C).

    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. Yang, Run & Liu, Xiangui & Yu, Rongze & Hu, Zhiming & Duan, Xianggang, 2022. "Long short-term memory suggests a model for predicting shale gas production," Applied Energy, Elsevier, vol. 322(C).
    2. Wang, Hui & Chen, Li & Qu, Zhiguo & Yin, Ying & Kang, Qinjun & Yu, Bo & Tao, Wen-Quan, 2020. "Modeling of multi-scale transport phenomena in shale gas production — A critical review," Applied Energy, Elsevier, vol. 262(C).
    3. Nguyen, Phong & Carey, J. William & Viswanathan, Hari S. & Porter, Mark, 2018. "Effectiveness of supercritical-CO2 and N2 huff-and-puff methods of enhanced oil recovery in shale fracture networks using microfluidic experiments," Applied Energy, Elsevier, vol. 230(C), pages 160-174.
    4. Gong, Jianming & Qiu, Zhen & Zou, Caineng & Wang, Hongyan & Shi, Zhensheng, 2020. "An integrated assessment system for shale gas resources associated with graptolites and its application," Applied Energy, Elsevier, vol. 262(C).
    5. Li, Jing & Wu, Keliu & Chen, Zhangxin & Wang, Wenyang & Yang, Bin & Wang, Kun & Luo, Jia & Yu, Renjie, 2019. "Effects of energetic heterogeneity on gas adsorption and gas storage in geologic shale systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    6. Wang, Ke & Li, Haitao & Wang, Junchao & Jiang, Beibei & Bu, Chengzhong & Zhang, Qing & Luo, Wei, 2017. "Predicting production and estimated ultimate recoveries for shale gas wells: A new methodology approach," Applied Energy, Elsevier, vol. 206(C), pages 1416-1431.
    7. Huang, Jingwei & Jin, Tianying & Barrufet, Maria & Killough, John, 2020. "Evaluation of CO2 injection into shale gas reservoirs considering dispersed distribution of kerogen," Applied Energy, Elsevier, vol. 260(C).
    8. Ahn, Yuchan & Kim, Junghwan & Kwon, Joseph Sang-Il, 2020. "Optimal design of supply chain network with carbon dioxide injection for enhanced shale gas recovery," Applied Energy, Elsevier, vol. 274(C).
    9. Huang, Liang & Ning, Zhengfu & Wang, Qing & Zhang, Wentong & Cheng, Zhilin & Wu, Xiaojun & Qin, Huibo, 2018. "Effect of organic type and moisture on CO2/CH4 competitive adsorption in kerogen with implications for CO2 sequestration and enhanced CH4 recovery," Applied Energy, Elsevier, vol. 210(C), pages 28-43.
    10. Andres Soage & Ruben Juanes & Ignasi Colominas & Luis Cueto-Felgueroso, 2021. "The Impact of the Geometry of the Effective Propped Volume on the Economic Performance of Shale Gas Well Production," Energies, MDPI, vol. 14(9), pages 1-22, April.
    11. Kang, Zhiqin & Zhao, Yangsheng & Yang, Dong, 2020. "Review of oil shale in-situ conversion technology," Applied Energy, Elsevier, vol. 269(C).
    12. Kant, Michael A. & Rossi, Edoardo & Duss, Jonas & Amann, Florian & Saar, Martin O. & Rudolf von Rohr, Philipp, 2018. "Demonstration of thermal borehole enlargement to facilitate controlled reservoir engineering for deep geothermal, oil or gas systems," Applied Energy, Elsevier, vol. 212(C), pages 1501-1509.
    13. Zhang, Shuo & Song, Shengyuan & Zhang, Wen & Zhao, Jinmin & Cao, Dongfang & Ma, Wenliang & Chen, Zijian & Hu, Ying, 2023. "Research on the inherent mechanism of rock mass deformation of oil shale in-situ mining under the condition of thermal-fluid-solid coupling," Energy, Elsevier, vol. 280(C).
    14. Crow, Daniel J.G. & Giarola, Sara & Hawkes, Adam D., 2018. "A dynamic model of global natural gas supply," Applied Energy, Elsevier, vol. 218(C), pages 452-469.
    15. Kim, Tae Hong & Cho, Jinhyung & Lee, Kun Sang, 2017. "Evaluation of CO2 injection in shale gas reservoirs with multi-component transport and geomechanical effects," Applied Energy, Elsevier, vol. 190(C), pages 1195-1206.
    16. Niu, Daming & Sun, Pingchang & Ma, Lin & Zhao, Kang'an & Ding, Cong, 2023. "Porosity evolution of Minhe oil shale under an open rapid heating system and the carbon storage potentials," Renewable Energy, Elsevier, vol. 205(C), pages 783-799.
    17. Wang, Sen & Qin, Chaoxu & Feng, Qihong & Javadpour, Farzam & Rui, Zhenhua, 2021. "A framework for predicting the production performance of unconventional resources using deep learning," Applied Energy, Elsevier, vol. 295(C).
    18. Zou, Youqin & Yang, Changbing & Wu, Daishe & Yan, Chun & Zeng, Masun & Lan, Yingying & Dai, Zhenxue, 2016. "Probabilistic assessment of shale gas production and water demand at Xiuwu Basin in China," Applied Energy, Elsevier, vol. 180(C), pages 185-195.
    19. Wang, Yan & Zhong, Dong-Liang & Li, Zheng & Li, Jian-Bo, 2020. "Application of tetra-n-butyl ammonium bromide semi-clathrate hydrate for CO2 capture from unconventional natural gases," Energy, Elsevier, vol. 197(C).
    20. Zhou, Guangzhao & Guo, Zanquan & Sun, Simin & Jin, Qingsheng, 2023. "A CNN-BiGRU-AM neural network for AI applications in shale oil production prediction," Applied Energy, Elsevier, vol. 344(C).

    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:eee:appene:v:247:y:2019:i:c:p:32-39. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.