IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i22p7613-d1281807.html
   My bibliography  Save this article

A New Multi-Scale Method to Evaluate the Porosity and MICP Curve for Digital Rock of Complex Reservoir

Author

Listed:
  • Ting Xiong

    (School of Earth Sciences, Yangtze University, Jingzhou 434023, China
    Shenzhen Branch, CNOOC Co., Ltd., Shenzhen 518000, China)

  • Ming Chen

    (Zhanjiang Branch, CNOOC Co., Ltd., Zhanjiang 524057, China)

  • Yuan Jin

    (College of Geophysics and Information Technology, China University of Geosciences, Beijing 100190, China)

  • Wei Zhang

    (Shenzhen Branch, China Oilfield Services Limited, Shenzhen 518071, China)

  • Haipeng Shao

    (ICORE GROUP INC., Shenzhen 518057, China)

  • Guanqun Wang

    (ICORE GROUP INC., Shenzhen 518057, China)

  • Ethan Long

    (ICORE GROUP INC., Shenzhen 518057, China)

  • Wei Long

    (ICORE GROUP INC., Shenzhen 518057, China
    Research Institute of Tsinghua University in Shenzhen, Shenzhen 518071, China)

Abstract

The evaluation of rock porosity and the mercury injection capillary pressure (MICP) curve is fundamental for oil and gas exploration and production. Digital rock (DR) technology, incorporating 3D micro-CT imaging and numerical methods, has been widely employed to predict these properties. However, analyzing the pore structure of heterogeneous rocks, such as fractured rocks or glutenite, solely through single-scale DR analysis poses challenges. Existing upscaling methods have limitations in fully representing the complete range of pore structures at different scales, with limited comparison to experimental data. To address this, we propose a novel method that upscales porosity and simulates the MICP curve from nano-scale to core scale by merging results from micro-CT (at resolutions of 35 μm and 2 μm) and SEM (at resolutions of 6.5 nm and 65 nm). We validate the developed DR model by applying it to sandstones, glutenite, and igneous rocks, and achieve excellent agreement between the experimental data and the multi-scale DR model across 67 samples. The results demonstrate that the multi-scale model effectively captures the porosity and pore structures across the entire range. In contrast, the single digital rock (DR) model underestimates the porosity measurements for both homogeneous sandstones and heterogeneous cores. While the MICP model based on a single DR proves suitable for homogeneous rock samples, it introduces noticeable discrepancies when applied to heterogeneous rock samples. The developed multi-scale method significantly enhances the confidence in using DR to assess the pore structure of complex rocks.

Suggested Citation

  • Ting Xiong & Ming Chen & Yuan Jin & Wei Zhang & Haipeng Shao & Guanqun Wang & Ethan Long & Wei Long, 2023. "A New Multi-Scale Method to Evaluate the Porosity and MICP Curve for Digital Rock of Complex Reservoir," Energies, MDPI, vol. 16(22), pages 1-16, November.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:22:p:7613-:d:1281807
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/22/7613/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/22/7613/
    Download Restriction: no
    ---><---

    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:16:y:2023:i:22:p:7613-:d:1281807. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.