IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i5p1212-d1350467.html
   My bibliography  Save this article

A Reservoir Modeling Study for the Evaluation of CO 2 Storage Upscaling at the Decatur Site in the Eastern Illinois Basin

Author

Listed:
  • Daniel Rathmaier

    (Petroleum Engineering, Colorado School of Mines, 1500 Illinois Street, Golden, CO 80401, USA)

  • Fawz Naim

    (School of Earth Sciences, Ohio State University, 281 W Lane Ave, Columbus, OH 43210, USA)

  • Andikan Charles William

    (Department of Physics and Geology, Università degli Studi di Perugia, Piazza Università 1, 06123 Perugia, Italy)

  • Dwaipayan Chakraborty

    (Geology and Geophysics, University of Wyoming, 1000 E University Ave, Laramie, WY 82071, USA)

  • Christopher Conwell

    (School of Earth Sciences, Ohio State University, 281 W Lane Ave, Columbus, OH 43210, USA)

  • Matthias Imhof

    (ExxonMobil Technology and Engineering Company, 22777 Springwoods Village Parkway, Spring, TX 77389, USA)

  • Gordon M. Holmes

    (ExxonMobil Technology and Engineering Company, 22777 Springwoods Village Parkway, Spring, TX 77389, USA)

  • Luis E. Zerpa

    (Petroleum Engineering, Colorado School of Mines, 1500 Illinois Street, Golden, CO 80401, USA)

Abstract

The study of geological CO 2 sequestration and its long-term implications are crucial for ensuring the safety and sustainability of carbon capture and storage (CCS) projects. This work presents a numerical reservoir modeling study to upscale CO 2 injection in the Eastern Illinois Basin to a cumulative value of 27 Mt within the next 20 years, adding one proposed Class VI injector well to the two already existing ones in this field. Along with the reservoir simulations that include the main CO 2 trapping mechanisms that ensure a minimum of a 100-year Area-of-Review containment, we describe a step-by-step approach to enhance measurement, monitoring, and verification (MMV) plans, starting from low-cost methods such as repeated 1D VSP in existing boreholes to 2D seismic surveys and higher-cost data acquisition techniques.

Suggested Citation

  • Daniel Rathmaier & Fawz Naim & Andikan Charles William & Dwaipayan Chakraborty & Christopher Conwell & Matthias Imhof & Gordon M. Holmes & Luis E. Zerpa, 2024. "A Reservoir Modeling Study for the Evaluation of CO 2 Storage Upscaling at the Decatur Site in the Eastern Illinois Basin," Energies, MDPI, vol. 17(5), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:1212-:d:1350467
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/5/1212/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/5/1212/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. S. Mostafa Mousavi & William L. Ellsworth & Weiqiang Zhu & Lindsay Y. Chuang & Gregory C. Beroza, 2020. "Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    Full references (including those not matched with items on IDEAS)

    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. Corentin Caudron & Yosuke Aoki & Thomas Lecocq & Raphael Plaen & Jean Soubestre & Aurelien Mordret & Leonard Seydoux & Toshiko Terakawa, 2022. "Hidden pressurized fluids prior to the 2014 phreatic eruption at Mt Ontake," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    2. Wang, Jun & Cao, Junxing, 2024. "Reservoir properties inversion using attention-based parallel hybrid network integrating feature selection and transfer learning," Energy, Elsevier, vol. 304(C).
    3. Alberto Ardid & David Dempsey & Corentin Caudron & Shane Cronin, 2022. "Seismic precursors to the Whakaari 2019 phreatic eruption are transferable to other eruptions and volcanoes," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    4. Weiqiang Zhu & Ettore Biondi & Jiaxuan Li & Jiuxun Yin & Zachary E. Ross & Zhongwen Zhan, 2023. "Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

    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:17:y:2024:i:5:p:1212-:d:1350467. 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.