IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v324y2022ics0306261922009667.html
   My bibliography  Save this article

Criteria and workflow for selecting depleted hydrocarbon reservoirs for carbon storage

Author

Listed:
  • Callas, Catherine
  • Saltzer, Sarah D.
  • Steve Davis, J.
  • Hashemi, Sam S.
  • Kovscek, Anthony R.
  • Okoroafor, Esuru R.
  • Wen, Gege
  • Zoback, Mark D.
  • Benson, Sally M.

Abstract

Carbon capture and sequestration (CCS) is playing a role in mitigating carbon emissions and that role is expected to grow dramatically with time. Clustering CO2 sources and sinks through hubs is one way to achieve large-scale deployment of CCS and widespread decarbonization of the energy sector. A key element to the success of hub projects is finding a suitable sequestration site to store these combined emissions. In this study, a quantitative, criteria-driven methodology was developed to assess the potential suitability of depleted oil and gas reservoirs for carbon storage. The methodology utilizes a three-stage process that screens, ranks, and characterizes potential sites based on three categories: (1) capacity and injectivity optimization, (2) retention and geomechanical risk minimization, and (3) siting and economic constraints. Many potential sites are assessable using this methodology until an optimal depleted reservoir, or geographically adjacent set of reservoirs, is identified. The framework is designed to provide insights into the suitability of depleted reservoirs in a variety of different geological environments as well as to be adaptable to a project’s specifications. Specifically, the criteria-driven workflow was applied to fields in the Gulf of Mexico and screened 1,317 fields to identify 10 clusters of 31 fields for further assessment and then ranked those fields and clusters to identify the most suitable sites for secure storage.

Suggested Citation

  • Callas, Catherine & Saltzer, Sarah D. & Steve Davis, J. & Hashemi, Sam S. & Kovscek, Anthony R. & Okoroafor, Esuru R. & Wen, Gege & Zoback, Mark D. & Benson, Sally M., 2022. "Criteria and workflow for selecting depleted hydrocarbon reservoirs for carbon storage," Applied Energy, Elsevier, vol. 324(C).
  • Handle: RePEc:eee:appene:v:324:y:2022:i:c:s0306261922009667
    DOI: 10.1016/j.apenergy.2022.119668
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922009667
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2022.119668?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. Viebahn, Peter & Vallentin, Daniel & Höller, Samuel, 2015. "Prospects of carbon capture and storage (CCS) in China’s power sector – An integrated assessment," Applied Energy, Elsevier, vol. 157(C), pages 229-244.
    2. Costa, Isabella & Rochedo, Pedro & Costa, Daniele & Ferreira, Paula & Araújo, Madalena & Schaeffer, Roberto & Szklo, Alexandre, 2019. "Placing hubs in CO2 pipelines: An application to industrial CO2 emissions in the Iberian Peninsula," Applied Energy, Elsevier, vol. 236(C), pages 22-31.
    3. Ahn, Yoonhan & Lee, Jekyoung & Kim, Seong Gu & Lee, Jeong Ik & Cha, Jae Eun & Lee, Si-Woo, 2015. "Design consideration of supercritical CO2 power cycle integral experiment loop," Energy, Elsevier, vol. 86(C), pages 115-127.
    4. Liu, Bingsheng & Liu, Song & Xue, Bin & Lu, Shijian & Yang, Yang, 2021. "Formalizing an integrated decision-making model for the risk assessment of carbon capture, utilization, and storage projects: From a sustainability perspective," Applied Energy, Elsevier, vol. 303(C).
    5. Sun, Xiaolong & Alcalde, Juan & Bakhtbidar, Mahdi & Elío, Javier & Vilarrasa, Víctor & Canal, Jacobo & Ballesteros, Julio & Heinemann, Niklas & Haszeldine, Stuart & Cavanagh, Andrew & Vega-Maza, David, 2021. "Hubs and clusters approach to unlock the development of carbon capture and storage – Case study in Spain," Applied Energy, Elsevier, vol. 300(C).
    6. T.A. Meckel & A.P. Bump & S.D. Hovorka & R.H. Trevino, 2021. "Carbon capture, utilization, and storage hub development on the Gulf Coast," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 11(4), pages 619-632, August.
    7. Middleton, Richard S. & Eccles, Jordan K., 2013. "The complex future of CO2 capture and storage: Variable electricity generation and fossil fuel power," Applied Energy, Elsevier, vol. 108(C), pages 66-73.
    8. Viebahn, Peter & Vallentin, Daniel & Höller, Samuel, 2014. "Prospects of carbon capture and storage (CCS) in India’s power sector – An integrated assessment," Applied Energy, Elsevier, vol. 117(C), pages 62-75.
    9. Lee, Jui-Yuan & Tan, Raymond R. & Chen, Cheng-Liang, 2014. "A unified model for the deployment of carbon capture and storage," Applied Energy, Elsevier, vol. 121(C), pages 140-148.
    10. Paltsev, Sergey & Morris, Jennifer & Kheshgi, Haroon & Herzog, Howard, 2021. "Hard-to-Abate Sectors: The role of industrial carbon capture and storage (CCS) in emission mitigation," Applied Energy, Elsevier, vol. 300(C).
    11. Sun, Liang & Chen, Wenying, 2017. "Development and application of a multi-stage CCUS source–sink matching model," Applied Energy, Elsevier, vol. 185(P2), pages 1424-1432.
    12. Li, Xiaochun & Ohsumi, Takashi & Koide, Hitoshi & Akimoto, Keigo & Kotsubo, Hironori, 2005. "Near-future perspective of CO2 aquifer storage in Japan: Site selection and capacity," Energy, Elsevier, vol. 30(11), pages 2360-2369.
    13. Juan Alcalde & Stephanie Flude & Mark Wilkinson & Gareth Johnson & Katriona Edlmann & Clare E. Bond & Vivian Scott & Stuart M. V. Gilfillan & Xènia Ogaya & R. Stuart Haszeldine, 2018. "Estimating geological CO2 storage security to deliver on climate mitigation," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
    14. Bradshaw, J & Allinson, G & Bradshaw, B.E & Nguyen, V & Rigg, A.J & Spencer, L & Wilson, P, 2004. "Australia’s CO2 geological storage potential and matching of emission sources to potential sinks," Energy, Elsevier, vol. 29(9), pages 1623-1631.
    15. Wang, Peng-Tao & Wei, Yi-Ming & Yang, Bo & Li, Jia-Quan & Kang, Jia-Ning & Liu, Lan-Cui & Yu, Bi-Ying & Hou, Yun-Bing & Zhang, Xian, 2020. "Carbon capture and storage in China’s power sector: Optimal planning under the 2 °C constraint," Applied Energy, Elsevier, vol. 263(C).
    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. Huaguang Yan & Wenda Zhang & Jiandong Kang & Tiejiang Yuan, 2023. "The Necessity and Feasibility of Hydrogen Storage for Large-Scale, Long-Term Energy Storage in the New Power System in China," Energies, MDPI, vol. 16(13), pages 1-21, June.
    2. Muhammad Hammad Rasool & Maqsood Ahmad & Muhammad Ayoub, 2023. "Selecting Geological Formations for CO 2 Storage: A Comparative Rating System," Sustainability, MDPI, vol. 15(8), pages 1-39, April.
    3. Eigbe, Patrick A. & Ajayi, Olatunbosun O. & Olakoyejo, Olabode T. & Fadipe, Opeyemi L. & Efe, Steven & Adelaja, Adekunle O., 2023. "A general review of CO2 sequestration in underground geological formations and assessment of depleted hydrocarbon reservoirs in the Niger Delta," Applied Energy, Elsevier, vol. 350(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. Peter Viebahn & Emile J. L. Chappin, 2018. "Scrutinising the Gap between the Expected and Actual Deployment of Carbon Capture and Storage—A Bibliometric Analysis," Energies, MDPI, vol. 11(9), pages 1-45, September.
    2. Tapia, John Frederick D. & Lee, Jui-Yuan & Ooi, Raymond E.H. & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Optimal CO2 allocation and scheduling in enhanced oil recovery (EOR) operations," Applied Energy, Elsevier, vol. 184(C), pages 337-345.
    3. Lunz, Benedikt & Stöcker, Philipp & Eckstein, Sascha & Nebel, Arjuna & Samadi, Sascha & Erlach, Berit & Fischedick, Manfred & Elsner, Peter & Sauer, Dirk Uwe, 2016. "Scenario-based comparative assessment of potential future electricity systems – A new methodological approach using Germany in 2050 as an example," Applied Energy, Elsevier, vol. 171(C), pages 555-580.
    4. Peter Viebahn & Daniel Vallentin & Samuel Höller, 2015. "Integrated Assessment of Carbon Capture and Storage (CCS) in South Africa’s Power Sector," Energies, MDPI, vol. 8(12), pages 1-27, December.
    5. Fan, Jing-Li & Shen, Shuo & Wei, Shi-Jie & Xu, Mao & Zhang, Xian, 2020. "Near-term CO2 storage potential for coal-fired power plants in China: A county-level source-sink matching assessment," Applied Energy, Elsevier, vol. 279(C).
    6. Chen, Siyuan & Liu, Jiangfeng & Zhang, Qi & Teng, Fei & McLellan, Benjamin C., 2022. "A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    7. Zhang, Kai & Lau, Hon Chung & Liu, Shuyang & Li, Hangyu, 2022. "Carbon capture and storage in the coastal region of China between Shanghai and Hainan," Energy, Elsevier, vol. 247(C).
    8. Wu, Hao & Lubbers, Nicholas & Viswanathan, Hari S. & Pollyea, Ryan M., 2021. "A multi-dimensional parametric study of variability in multi-phase flow dynamics during geologic CO2 sequestration accelerated with machine learning," Applied Energy, Elsevier, vol. 287(C).
    9. McLaughlin, Hope & Littlefield, Anna A. & Menefee, Maia & Kinzer, Austin & Hull, Tobias & Sovacool, Benjamin K. & Bazilian, Morgan D. & Kim, Jinsoo & Griffiths, Steven, 2023. "Carbon capture utilization and storage in review: Sociotechnical implications for a carbon reliant world," Renewable and Sustainable Energy Reviews, Elsevier, vol. 177(C).
    10. Wang, Peng-Tao & Wei, Yi-Ming & Yang, Bo & Li, Jia-Quan & Kang, Jia-Ning & Liu, Lan-Cui & Yu, Bi-Ying & Hou, Yun-Bing & Zhang, Xian, 2020. "Carbon capture and storage in China’s power sector: Optimal planning under the 2 °C constraint," Applied Energy, Elsevier, vol. 263(C).
    11. Zhang, Shuai & Liu, Linlin & Zhang, Lei & Zhuang, Yu & Du, Jian, 2018. "An optimization model for carbon capture utilization and storage supply chain: A case study in Northeastern China," Applied Energy, Elsevier, vol. 231(C), pages 194-206.
    12. Pettinau, Alberto & Ferrara, Francesca & Tola, Vittorio & Cau, Giorgio, 2017. "Techno-economic comparison between different technologies for CO2-free power generation from coal," Applied Energy, Elsevier, vol. 193(C), pages 426-439.
    13. Hu, Yingying & Wu, Wei, 2023. "Can fossil energy make a soft landing?— the carbon-neutral pathway in China accompanying CCS," Energy Policy, Elsevier, vol. 174(C).
    14. Viebahn, Peter & Vallentin, Daniel & Höller, Samuel, 2015. "Prospects of carbon capture and storage (CCS) in China’s power sector – An integrated assessment," Applied Energy, Elsevier, vol. 157(C), pages 229-244.
    15. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Research on the peak of CO2 emissions in the developing world: Current progress and future prospect," Applied Energy, Elsevier, vol. 235(C), pages 186-203.
    16. Golrokh Sani, Ahmad & Najafi, Hamidreza & Azimi, Seyedeh Shakiba, 2022. "Dynamic thermal modeling of the refrigerated liquified CO2 tanker in carbon capture, utilization, and storage chain: A truck transport case study," Applied Energy, Elsevier, vol. 326(C).
    17. Lee, Jui-Yuan & Tan, Raymond R. & Chen, Cheng-Liang, 2014. "A unified model for the deployment of carbon capture and storage," Applied Energy, Elsevier, vol. 121(C), pages 140-148.
    18. Tamaki, Tetsuya & Nozawa, Wataru & Managi, Shunsuke, 2017. "Evaluation of the ocean ecosystem: Climate change modelling with backstop technologies," Applied Energy, Elsevier, vol. 205(C), pages 428-439.
    19. Chen, Bailian & Harp, Dylan R. & Lin, Youzuo & Keating, Elizabeth H. & Pawar, Rajesh J., 2018. "Geologic CO2 sequestration monitoring design: A machine learning and uncertainty quantification based approach," Applied Energy, Elsevier, vol. 225(C), pages 332-345.
    20. Zhang, Shuai & Zhuang, Yu & Liu, Linlin & Zhang, Lei & Du, Jian, 2019. "Risk management optimization framework for the optimal deployment of carbon capture and storage system under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.

    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:324:y:2022:i:c:s0306261922009667. 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.