IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v225y2018icp876-883.html
   My bibliography  Save this article

Heterogeneity-assisted carbon dioxide storage in marine sediments

Author

Listed:
  • Dai, Zhenxue
  • Zhang, Ye
  • Bielicki, Jeffrey
  • Amooie, Mohammad Amin
  • Zhang, Mingkan
  • Yang, Changbing
  • Zou, Youqin
  • Ampomah, William
  • Xiao, Ting
  • Jia, Wei
  • Middleton, Richard
  • Zhang, Wen
  • Sun, Youhong
  • Moortgat, Joachim
  • Soltanian, Mohamad Reza
  • Stauffer, Philip

Abstract

Global climate change is a pressing problem caused by the accumulation of anthropogenic greenhouse gas emissions in the atmosphere. Carbon dioxide (CO2) capture and storage is a promising component of a portfolio of options to stabilize atmospheric CO2 concentrations. Meaningful capture and storage requires the permanent isolation of enormous amounts of CO2 away from the atmosphere. We investigate the effectiveness of heterogeneity-induced trapping mechanism, in potential synergy with a self-sealing gravitational trapping mechanism, for secure CO2 storage in marine sediments. We conduct the first comprehensive study on heterogeneous marine sediments with various thicknesses at various ocean depths. Prior studies of gravitational trapping have assumed homogeneous (deep-sea) sediments, but numerous studies suggest reservoir heterogeneity may enhance CO2 trapping. Heterogeneity can deter the upward migration of CO2 and prevent leakage through the seafloor into the seawater. Using geostatistically-based Monte Carlo simulations of CO2 transport in heterogeneous sediment, we show that strong spatial variability in permeability is a dominant physical mechanism for secure CO2 storage in marine sediments below 1.2 km water depth (less than half of the depth needed for the gravitational trapping). We identify thresholds for sediment thickness, mean permeability and porosity, and their relationships to meaningful injection rates. Our results for the U.S. Gulf of Mexico suggest that heterogeneity-assisted trapping has a greater areal extent with more than three times the CO2 storage capacity for secure offshore CO2 storage than with gravitational trapping. These characteristics offer CO2 storage opportunities that are closer to coasts, more accessible, and likely to be less costly.

Suggested Citation

  • Dai, Zhenxue & Zhang, Ye & Bielicki, Jeffrey & Amooie, Mohammad Amin & Zhang, Mingkan & Yang, Changbing & Zou, Youqin & Ampomah, William & Xiao, Ting & Jia, Wei & Middleton, Richard & Zhang, Wen & Sun, 2018. "Heterogeneity-assisted carbon dioxide storage in marine sediments," Applied Energy, Elsevier, vol. 225(C), pages 876-883.
  • Handle: RePEc:eee:appene:v:225:y:2018:i:c:p:876-883
    DOI: 10.1016/j.apenergy.2018.05.038
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918307311
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2018.05.038?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. Nimana, Balwinder & Canter, Christina & Kumar, Amit, 2015. "Energy consumption and greenhouse gas emissions in upgrading and refining of Canada's oil sands products," Energy, Elsevier, vol. 83(C), pages 65-79.
    2. Zhou, Wenji & Wang, Tao & Yu, Yadong & Chen, Dingjiang & Zhu, Bing, 2016. "Scenario analysis of CO2 emissions from China’s civil aviation industry through 2030," Applied Energy, Elsevier, vol. 175(C), pages 100-108.
    3. Sharma, Susan Sunila, 2011. "Determinants of carbon dioxide emissions: Empirical evidence from 69 countries," Applied Energy, Elsevier, vol. 88(1), pages 376-382, January.
    4. Wang, Zhiyu & Wang, Jinsheng & Lan, Christopher & He, Ian & Ko, Vivien & Ryan, David & Wigston, Andrew, 2016. "A study on the impact of SO2 on CO2 injectivity for CO2 storage in a Canadian saline aquifer," Applied Energy, Elsevier, vol. 184(C), pages 329-336.
    5. Jordan K Eccles & Lincoln Pratson, 2013. "Economic evaluation of offshore storage potential in the US Exclusive Economic Zone," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 3(1), pages 84-95, February.
    6. 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.
    7. Jiang, Xi, 2011. "A review of physical modelling and numerical simulation of long-term geological storage of CO2," Applied Energy, Elsevier, vol. 88(11), pages 3557-3566.
    8. Ampomah, W. & Balch, R.S. & Cather, M. & Will, R. & Gunda, D. & Dai, Z. & Soltanian, M.R., 2017. "Optimum design of CO2 storage and oil recovery under geological uncertainty," Applied Energy, Elsevier, vol. 195(C), pages 80-92.
    9. Gunter, W. D. & Wong, S. & Cheel, D. B. & Sjostrom, G., 1998. "Large CO2 Sinks: Their role in the mitigation of greenhouse gases from an international, national (Canadian) and provincial (Alberta) perspective," Applied Energy, Elsevier, vol. 61(4), pages 209-227, December.
    10. 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.
    11. Nimana, Balwinder & Canter, Christina & Kumar, Amit, 2015. "Energy consumption and greenhouse gas emissions in the recovery and extraction of crude bitumen from Canada’s oil sands," Applied Energy, Elsevier, vol. 143(C), pages 189-199.
    12. Kim, Youngmin & Jang, Hochang & Kim, Junggyun & Lee, Jeonghwan, 2017. "Prediction of storage efficiency on CO2 sequestration in deep saline aquifers using artificial neural network," Applied Energy, Elsevier, vol. 185(P1), pages 916-928.
    13. Welkenhuysen, Kris & Rupert, Jort & Compernolle, Tine & Ramirez, Andrea & Swennen, Rudy & Piessens, Kris, 2017. "Considering economic and geological uncertainty in the simulation of realistic investment decisions for CO2-EOR projects in the North Sea," Applied Energy, Elsevier, vol. 185(P1), pages 745-761.
    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. You, Junyu & Ampomah, William & Sun, Qian, 2020. "Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework," Applied Energy, Elsevier, vol. 279(C).
    2. Liu, Yanzhen & Qi, Huiping & Liang, Huiyong & Yang, Lei & Lv, Xin & Qiao, Fen & Wang, Junfeng & Liu, Yanbo & Li, Qingping & Zhao, Jiafei, 2024. "Influence mechanism of interfacial organic matter and salt system on carbon dioxide hydrate nucleation in porous media," Energy, Elsevier, vol. 290(C).
    3. Mrityunjay Singh & Saeed Mahmoodpour & Cornelia Schmidt-Hattenberger & Ingo Sass & Michael Drews, 2023. "Influence of Reservoir Heterogeneity on Simultaneous Geothermal Energy Extraction and CO 2 Storage," Sustainability, MDPI, vol. 16(1), pages 1-23, December.
    4. Ren, Bo & Trevisan, Luca, 2020. "Characterization of local capillary trap clusters in storage aquifers," Energy, Elsevier, vol. 193(C).
    5. Chen, Bailian & Pawar, Rajesh J., 2019. "Characterization of CO2 storage and enhanced oil recovery in residual oil zones," Energy, Elsevier, vol. 183(C), pages 291-304.
    6. Jing, Jing & Yang, Yanlin & Cheng, Jianmei & Ding, Zhaojing & Wang, Dandan & Jing, Xianwen, 2023. "Analysis of the effect of formation dip angle and injection pressure on the injectivity and migration of CO2 during storage," Energy, Elsevier, vol. 280(C).
    7. Zhang, Xiaoying & Ma, Funing & Yin, Shangxian & Wallace, Corey D & Soltanian, Mohamad Reza & Dai, Zhenxue & Ritzi, Robert W. & Ma, Ziqi & Zhan, Chuanjun & Lü, Xiaoshu, 2021. "Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media: A critical review," Applied Energy, Elsevier, vol. 303(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. Ampomah, W. & Balch, R.S. & Cather, M. & Will, R. & Gunda, D. & Dai, Z. & Soltanian, M.R., 2017. "Optimum design of CO2 storage and oil recovery under geological uncertainty," Applied Energy, Elsevier, vol. 195(C), pages 80-92.
    2. You, Junyu & Ampomah, William & Sun, Qian, 2020. "Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework," Applied Energy, Elsevier, vol. 279(C).
    3. 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.
    4. Wang, Xiao & van ’t Veld, Klaas & Marcy, Peter & Huzurbazar, Snehalata & Alvarado, Vladimir, 2018. "Economic co-optimization of oil recovery and CO2 sequestration," Applied Energy, Elsevier, vol. 222(C), pages 132-147.
    5. Sapkota, Krishna & Gemechu, Eskinder & Oni, Abayomi Olufemi & Ma, Linwei & Kumar, Amit, 2022. "Greenhouse gas emissions from Canadian oil sands supply chains to China," Energy, Elsevier, vol. 251(C).
    6. Sapkota, Krishna & Oni, Abayomi Olufemi & Kumar, Amit & Linwei, Ma, 2018. "The development of a techno-economic model for the extraction, transportation, upgrading, and shipping of Canadian oil sands products to the Asia-Pacific region," Applied Energy, Elsevier, vol. 223(C), pages 273-292.
    7. Rui Xing & Diego V. Chiappori & Evan J. Arbuckle & Matthew T. Binsted & Evan G. R. Davies, 2021. "Canadian Oil Sands Extraction and Upgrading: A Synthesis of the Data on Energy Consumption, CO 2 Emissions, and Supply Costs," Energies, MDPI, vol. 14(19), pages 1-14, October.
    8. 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.
    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. Xiao, Ting & Chen, Ting & Ma, Zhiwei & Tian, Hailong & Meguerdijian, Saro & Chen, Bailian & Pawar, Rajesh & Huang, Lianjie & Xu, Tianfu & Cather, Martha & McPherson, Brian, 2024. "A review of risk and uncertainty assessment for geologic carbon storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    11. Guo, John & Orellana, Andrea & Sleep, Sylvia & Laurenzi, Ian J. & MacLean, Heather L. & Bergerson, Joule A., 2020. "Statistically enhanced model of oil sands operations: Well-to-wheel comparison of in situ oil sands pathways," Energy, Elsevier, vol. 208(C).
    12. 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).
    13. Aaditya Khanal & Md Fahim Shahriar, 2022. "Physics-Based Proxy Modeling of CO 2 Sequestration in Deep Saline Aquifers," Energies, MDPI, vol. 15(12), pages 1-23, June.
    14. Ajoma, Emmanuel & Saira, & Sungkachart, Thanarat & Ge, Jiachao & Le-Hussain, Furqan, 2020. "Water-saturated CO2 injection to improve oil recovery and CO2 storage," Applied Energy, Elsevier, vol. 266(C).
    15. Sun, Alexander Y., 2020. "Optimal carbon storage reservoir management through deep reinforcement learning," Applied Energy, Elsevier, vol. 278(C).
    16. Wang, Sijia & Jiang, Lanlan & Cheng, Zucheng & Liu, Yu & Zhao, Jiafei & Song, Yongchen, 2021. "Experimental study on the CO2-decane displacement front behavior in high permeability sand evaluated by magnetic resonance imaging," Energy, Elsevier, vol. 217(C).
    17. Turgay Ertekin & Qian Sun, 2019. "Artificial Intelligence Applications in Reservoir Engineering: A Status Check," Energies, MDPI, vol. 12(15), pages 1-22, July.
    18. 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).
    19. Di Lullo, Giovanni & Zhang, Hao & Kumar, Amit, 2017. "Uncertainty in well-to-tank with combustion greenhouse gas emissions of transportation fuels derived from North American crudes," Energy, Elsevier, vol. 128(C), pages 475-486.
    20. Li, Didi & Zhang, Hongcheng & Li, Yang & Xu, Wenbin & Jiang, Xi, 2018. "Effects of N2 and H2S binary impurities on CO2 geological storage in stratified formation – A sensitivity study," Applied Energy, Elsevier, vol. 229(C), pages 482-492.

    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:225:y:2018:i:c:p:876-883. 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.