IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i9p2233-d353618.html
   My bibliography  Save this article

Reservoir Properties of Low-Permeable Carbonate Rocks: Experimental Features

Author

Listed:
  • Aliya Mukhametdinova

    (Center for Hydrocarbon Recovery, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, 121205 Moscow, Russia)

  • Andrey Kazak

    (Center for Hydrocarbon Recovery, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, 121205 Moscow, Russia)

  • Tagir Karamov

    (Center for Hydrocarbon Recovery, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, 121205 Moscow, Russia)

  • Natalia Bogdanovich

    (Center for Hydrocarbon Recovery, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, 121205 Moscow, Russia)

  • Maksim Serkin

    (PermNIPIneft Branch, LUKOIL Engineering LLC, Soviet Army Street, 614066 Perm, Russia)

  • Sergey Melekhin

    (PermNIPIneft Branch, LUKOIL Engineering LLC, Soviet Army Street, 614066 Perm, Russia)

  • Alexey Cheremisin

    (Center for Hydrocarbon Recovery, Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, 121205 Moscow, Russia)

Abstract

This paper presents an integrated petrophysical characterization of a representative set of complex carbonate reservoir rock samples with a porosity of less than 3% and permeability of less than 1 mD. Laboratory methods used in this study included both bulk measurements and multiscale void space characterization. Bulk techniques included gas volumetric nuclear magnetic resonance (NMR), liquid saturation (LS), porosity, pressure-pulse decay (PDP), and pseudo-steady-state permeability (PSS). Imaging consisted of thin-section petrography, computed X-ray macro- and microtomography, and scanning electron microscopy (SEM). Mercury injection capillary pressure (MICP) porosimetry was a proxy technique between bulk measurements and imaging. The target set of rock samples included whole cores, core plugs, mini cores, rock chips, and crushed rock. The research yielded several findings for the target rock samples. NMR was the most appropriate technique for total porosity determination. MICP porosity matched both NMR and imaging results and highlighted the different effects of solvent extraction on throat size distribution. PDP core-plug gas permeability measurements were consistent but overestimated in comparison to PSS results, with the difference reaching two orders of magnitude. SEM proved to be the only feasible method for void-scale imaging with a spatial resolution up to 5 nm. The results confirmed the presence of natural voids of two major types. The first type was organic matter (OM)-hosted pores, with dimensions of less than 500 nm. The second type was sporadic voids in the mineral matrix (biogenic clasts), rarely larger than 250 nm. Comparisons between whole-core and core-plug reservoir properties showed substantial differences in both porosity (by a factor of 2) and permeability (up to 4 orders of magnitude) caused by spatial heterogeneity and scaling.

Suggested Citation

  • Aliya Mukhametdinova & Andrey Kazak & Tagir Karamov & Natalia Bogdanovich & Maksim Serkin & Sergey Melekhin & Alexey Cheremisin, 2020. "Reservoir Properties of Low-Permeable Carbonate Rocks: Experimental Features," Energies, MDPI, vol. 13(9), pages 1-25, May.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2233-:d:353618
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/9/2233/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/9/2233/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abdulrauf R. Adebayo & Lamidi Babalola & Syed R. Hussaini & Abdullah Alqubalee & Rahul S. Babu, 2019. "Insight into the Pore Characteristics of a Saudi Arabian Tight Gas Sand Reservoir," Energies, MDPI, vol. 12(22), pages 1-27, November.
    2. Yujie Yuan & Reza Rezaee, 2019. "Comparative Porosity and Pore Structure Assessment in Shales: Measurement Techniques, Influencing Factors and Implications for Reservoir Characterization," Energies, MDPI, vol. 12(11), pages 1-14, May.
    3. Zhihao Jiang & Zhiqiang Mao & Yujiang Shi & Daxing Wang, 2018. "Multifractal Characteristics and Classification of Tight Sandstone Reservoirs: A Case Study from the Triassic Yanchang Formation, Ordos Basin, China," Energies, MDPI, vol. 11(9), pages 1-17, August.
    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. Zhang, Xiang & Wei, Bing & You, Junyu & Liu, Jiang & Wang, Dianlin & Lu, Jun & Tong, Jing, 2021. "Characterizing pore-level oil mobilization processes in unconventional reservoirs assisted by state-of-the-art nuclear magnetic resonance technique," Energy, Elsevier, vol. 236(C).
    2. Jiang, Meiling & Fang, Haixu & Liu, Yang & Zhang, Yunfeng & Wang, Chaoqun, 2023. "On movable fluid saturation of tight sandstone and main controlling factors —case study on the Fuyu oil layer in the Da'an oilfield in the Songliao basin," Energy, Elsevier, vol. 267(C).
    3. Reza Rezaee, 2022. "Editorial on Special Issues of Development of Unconventional Reservoirs," Energies, MDPI, vol. 15(7), pages 1-9, April.
    4. Paulina Krakowska-Madejska & Edyta Puskarczyk & Magdalena Habrat & Paweł Madejski & Marek Dohnalik & Mariusz Jędrychowski, 2021. "Development of a Permeability Formula for Tight and Shale Gas Reservoirs Based on Advanced High-Precision Lab Measurement Techniques," Energies, MDPI, vol. 14(9), pages 1-25, May.

    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. Reza Rezaee, 2022. "Editorial on Special Issues of Development of Unconventional Reservoirs," Energies, MDPI, vol. 15(7), pages 1-9, April.
    2. Xiaoyan Zou & Xianqing Li & Jizhen Zhang & Huantong Li & Man Guo & Pei Zhao, 2021. "Characteristics of Pore Structure and Gas Content of the Lower Paleozoic Shale from the Upper Yangtze Plate, South China," Energies, MDPI, vol. 14(22), pages 1-29, November.
    3. Rezaeyan, Amirsaman & Kampman, Niko & Pipich, Vitaliy & Barnsley, Lester C. & Rother, Gernot & Magill, Clayton & Ma, Jingsheng & Busch, Andreas, 2024. "Compaction and clay content control mudrock porosity," Energy, Elsevier, vol. 289(C).
    4. Siyu Wei & Yanjun Shang & Yanyan Li, 2019. "Application of Acoustic Emission to Estimation of Strata Denudation: A Case Study from the Ordos Basin, China," Sustainability, MDPI, vol. 11(3), pages 1-13, February.
    5. Bryan X. Medina-Rodriguez & Vladimir Alvarado, 2021. "Use of Gas Adsorption and Inversion Methods for Shale Pore Structure Characterization," Energies, MDPI, vol. 14(10), pages 1-24, May.
    6. Liang Sun & Suping Peng & Dengke He, 2018. "A Novel Static Correction Approach for Eliminating the Effect of Geophones—A Case Study in Coal Reservoirs, Ordos Basin, China," Energies, MDPI, vol. 11(12), pages 1-12, November.
    7. Xiaoqi Wang & Yanming Zhu & Yang Wang, 2020. "Fractal Characteristics of Micro- and Mesopores in the Longmaxi Shale," Energies, MDPI, vol. 13(6), pages 1-21, March.
    8. Jianchao Cai & Shuyu Sun & Ali Habibi & Zhien Zhang, 2019. "Emerging Advances in Petrophysics: Porous Media Characterization and Modeling of Multiphase Flow," Energies, MDPI, vol. 12(2), pages 1-5, January.
    9. Zhang Qiang & Qamar Yasin & Naser Golsanami & Qizhen Du, 2020. "Prediction of Reservoir Quality from Log-Core and Seismic Inversion Analysis with an Artificial Neural Network: A Case Study from the Sawan Gas Field, Pakistan," Energies, MDPI, vol. 13(2), pages 1-19, January.
    10. Lei, Jian & Pan, Baozhi & Guo, Yuhang & Fan, YuFei & Xue, Linfu & Deng, Sunhua & Zhang, Lihua & Ruhan, A., 2021. "A comprehensive analysis of the pyrolysis effects on oil shale pore structures at multiscale using different measurement methods," Energy, Elsevier, vol. 227(C).
    11. Jianbin Zhao & Shizhen Ke & Weibiao Xie & Zhehao Zhang & Bo Wei & Jinbin Wan & Daojie Cheng & Zhenlin Li & Chaoqiang Fang, 2024. "Research on the Shale Porosity–TOC Maturity Relationship Based on an Improved Pore Space Characterization Method," Energies, MDPI, vol. 17(5), pages 1-14, February.
    12. Pinghe Sun & Meng Han & Han Cao & Weisheng Liu & Shaohe Zhang & Junyi Zhu, 2020. "Development and Performance Evaluation of Solid-Free Drilling Fluid for CBM Reservoir Drilling in Central Hunan," Energies, MDPI, vol. 13(18), pages 1-16, September.
    13. Jiangfeng Cui & Long Cheng, 2019. "Liquid Storage Characteristics of Nanoporous Particles in Shale: Rigorous Proof," Energies, MDPI, vol. 12(20), pages 1-15, October.
    14. Fujing Sun & Jianmeng Sun & Min Wang & Peng Chi, 2024. "Analysis and Application of Fluid Components in High-Clay Matrix Shale Oil: A Case Study of Gulong Shale Oil," Energies, MDPI, vol. 17(15), pages 1-17, July.

    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:13:y:2020:i:9:p:2233-:d:353618. 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.