IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v247y2019icp190-211.html
   My bibliography  Save this article

An integrated technical-economic model for evaluating CO2 enhanced oil recovery development

Author

Listed:
  • Jiang, Jieyun
  • Rui, Zhenhua
  • Hazlett, Randy
  • Lu, Jun

Abstract

Carbon dioxide enhanced oil recovery (EOR) has been proved to effectively reduce CO2 emissions by storing industrial CO2 underground while increasing oil production. An integrated assessment model was developed to evaluate the technical and economic performance of CO2-EOR based on data from more than 40 historical field projects. Unlike previous models, the model comprehensively assesses economic potential and greenhouse gases (GHG) emission of CO2-EOR together and is based on a large amount of field data. The technical model estimates incremental oil production based on CO2 injection. The model also estimates the net CO2 emissions by considering the emissions from oil production and CO2 utilization. The economic model simulated the net present value (NPV) of six scenarios under different design requirements. The breakeven oil price for small scale CO2 pipeline project was $46.4/barrel. The porosity, net pay, CO2 injection, depth, oil formation factor, and oil saturation are the critical parameters affecting the economic performance based on the sensitivity analysis. The breakeven price of carbon tax scenario was $64.10/barrel, of which CO2 injection and carbon tax contributed 52% of the NPV variations. The study provides operators, investors, and even policymakers the sufficient and important information to fully understand CO2-EOR developments with various external and internal parameters before making the right decisions.

Suggested Citation

  • Jiang, Jieyun & Rui, Zhenhua & Hazlett, Randy & Lu, Jun, 2019. "An integrated technical-economic model for evaluating CO2 enhanced oil recovery development," Applied Energy, Elsevier, vol. 247(C), pages 190-211.
  • Handle: RePEc:eee:appene:v:247:y:2019:i:c:p:190-211
    DOI: 10.1016/j.apenergy.2019.04.025
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919306531
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2019.04.025?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. Luo, Xiaobo & Wang, Meihong & Oko, Eni & Okezue, Chima, 2014. "Simulation-based techno-economic evaluation for optimal design of CO2 transport pipeline network," Applied Energy, Elsevier, vol. 132(C), pages 610-620.
    2. Rui, Zhenhua & Wang, Xiaoqing & Zhang, Zhien & Lu, Jun & Chen, Gang & Zhou, Xiyu & Patil, Shirish, 2018. "A realistic and integrated model for evaluating oil sands development with Steam Assisted Gravity Drainage technology in Canada," Applied Energy, Elsevier, vol. 213(C), pages 76-91.
    3. 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.
    4. Rui, Zhenhua & Cui, Kehang & Wang, Xiaoqing & Chun, Jung-Hoon & Li, Yuwei & Zhang, Zhien & Lu, Jun & Chen, Gang & Zhou, Xiyu & Patil, Shirish, 2018. "A comprehensive investigation on performance of oil and gas development in Nigeria: Technical and non-technical analyses," Energy, Elsevier, vol. 158(C), pages 666-680.
    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. Aysylu Askarova & Aliya Mukhametdinova & Strahinja Markovic & Galiya Khayrullina & Pavel Afanasev & Evgeny Popov & Elena Mukhina, 2023. "An Overview of Geological CO 2 Sequestration in Oil and Gas Reservoirs," Energies, MDPI, vol. 16(6), pages 1-34, March.
    2. Becerra-Fernandez, Mauricio & Cosenz, Federico & Dyner, Isaac, 2020. "Modeling the natural gas supply chain for sustainable growth policy," Energy, Elsevier, vol. 205(C).
    3. Guo, Tiankui & Zhang, Yuelong & He, Jiayuan & Gong, Facheng & Chen, Ming & Liu, Xiaoqiang, 2021. "Research on geothermal development model of abandoned high temperature oil reservoir in North China oilfield," Renewable Energy, Elsevier, vol. 177(C), pages 1-12.
    4. Liu, Yueliang & Rui, Zhenhua & Yang, Tao & Dindoruk, Birol, 2022. "Using propanol as an additive to CO2 for improving CO2 utilization and storage in oil reservoirs," Applied Energy, Elsevier, vol. 311(C).
    5. Christiano B. Peres & Pedro M. R. Resende & Leonel J. R. Nunes & Leandro C. de Morais, 2022. "Advances in Carbon Capture and Use (CCU) Technologies: A Comprehensive Review and CO 2 Mitigation Potential Analysis," Clean Technol., MDPI, vol. 4(4), pages 1-15, November.
    6. 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).
    7. Patange, Omkar S. & Garg, Amit & Jayaswal, Sachin, 2022. "An integrated bottom-up optimization to investigate the role of BECCS in transitioning towards a net-zero energy system: A case study from Gujarat, India," Energy, Elsevier, vol. 255(C).
    8. Farajzadeh, R. & Eftekhari, A.A. & Dafnomilis, G. & Lake, L.W. & Bruining, J., 2020. "On the sustainability of CO2 storage through CO2 – Enhanced oil recovery," Applied Energy, Elsevier, vol. 261(C).
    9. Abdoli, B. & Hooshmand, F. & MirHassani, S.A., 2023. "A novel stochastic programming model under endogenous uncertainty for the CCS-EOR planning problem," Applied Energy, Elsevier, vol. 338(C).
    10. Chen, Long & Xu, Guiyin & Rui, Zhenhua & Alshawabkeh, Akram N., 2019. "Demonstration of a feasible energy-water-environment nexus: Waste sulfur dioxide for water treatment," Applied Energy, Elsevier, vol. 250(C), pages 1011-1022.
    11. Wang, Zhengxu & Gao, Deli & Diao, Binbin & Zhang, Wei, 2020. "The influence of casing properties on performance of radio frequency heating for oil sands recovery," Applied Energy, Elsevier, vol. 261(C).
    12. 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).
    13. Oghare Victor Ogidiama & Tariq Shamim, 2021. "Assessment of CO2 capture technologies for CO2 utilization in enhanced oil recovery," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 11(3), pages 432-444, June.
    14. Yanqing Wang & Liang Zhang & Shaoran Ren & Bo Ren & Bailian Chen & Jun Lu, 2020. "Identification of potential CO2 leakage pathways and mechanisms in oil reservoirs using fault tree analysis," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(2), pages 331-346, April.
    15. Ren, Bo & Male, Frank & Duncan, Ian J., 2022. "Economic analysis of CCUS: Accelerated development for CO2 EOR and storage in residual oil zones under the context of 45Q tax credit," Applied Energy, Elsevier, vol. 321(C).
    16. Shenghao Feng & Xiujian Peng & Philip Adams, 2021. "Energy and Economic Implications of Carbon Neutrality in China -- A Dynamic General Equilibrium Analysis," Centre of Policy Studies/IMPACT Centre Working Papers g-318, Victoria University, Centre of Policy Studies/IMPACT Centre.
    17. Yang, Renfeng & Zhang, Jinqing & Chen, Han & Jiang, Ruizhong & Sun, Zhe & Rui, Zhenhua, 2019. "The injectivity variation prediction model for water flooding oilfields sustainable development," Energy, Elsevier, vol. 189(C).
    18. Zhang, Xin & Liao, Qi & Wang, Qiang & Wang, Limin & Qiu, Rui & Liang, Yongtu & Zhang, Haoran, 2021. "How to promote zero-carbon oilfield target? A technical-economic model to analyze the economic and environmental benefits of Recycle-CCS-EOR project," Energy, Elsevier, vol. 225(C).
    19. Guo, Tiankui & Tang, Songjun & Sun, Jiang & Gong, Facheng & Liu, Xiaoqiang & Qu, Zhanqing & Zhang, Wei, 2020. "A coupled thermal-hydraulic-mechanical modeling and evaluation of geothermal extraction in the enhanced geothermal system based on analytic hierarchy process and fuzzy comprehensive evaluation," Applied Energy, Elsevier, vol. 258(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. Fanhui Zeng & Fan Peng & Jianchun Guo & Jianhua Xiang & Qingrong Wang & Jiangang Zhen, 2018. "A Transient Productivity Model of Fractured Wells in Shale Reservoirs Based on the Succession Pseudo-Steady State Method," Energies, MDPI, vol. 11(9), pages 1-16, September.
    2. Wang, Wenyang & Pang, Xiongqi & Chen, Zhangxin & Chen, Dongxia & Ma, Xinhua & Zhu, Weiping & Zheng, Tianyu & Wu, Keliu & Zhang, Kun & Ma, Kuiyou, 2020. "Improved methods for determining effective sandstone reservoirs and evaluating hydrocarbon enrichment in petroliferous basins," Applied Energy, Elsevier, vol. 261(C).
    3. Asadi, Asgar & Zhang, Yaning & Mohammadi, Hassan & Khorand, Hadi & Rui, Zhenhua & Doranehgard, Mohammad Hossein & Bozorg, Mehdi Vahabzadeh, 2019. "Combustion and emission characteristics of biomass derived biofuel, premixed in a diesel engine: A CFD study," Renewable Energy, Elsevier, vol. 138(C), pages 79-89.
    4. Guansheng Qi & Hao Hu & Wei Lu & Lulu Sun & Xiangming Hu & Yuntao Liang & Wei Wang, 2022. "Influence of Mine Environmental Factors on the Liquid CO 2 Pipeline Transport System with Great Altitude Difference," IJERPH, MDPI, vol. 19(22), pages 1-19, November.
    5. Luo, Xiaobo & Wang, Meihong, 2017. "Study of solvent-based carbon capture for cargo ships through process modelling and simulation," Applied Energy, Elsevier, vol. 195(C), pages 402-413.
    6. Sun, Alexander Y., 2020. "Optimal carbon storage reservoir management through deep reinforcement learning," Applied Energy, Elsevier, vol. 278(C).
    7. 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).
    8. Xiaolong, Chen & Yiqiang, Li & Xiang, Tang & Huan, Qi & Xuebing, Sun & Jianghao, Luo, 2021. "Effect of gravity segregation on CO2 flooding under various pressure conditions: Application to CO2 sequestration and oil production," Energy, Elsevier, vol. 226(C).
    9. Asongu, Simplice A & Odhiambo, Nicholas M, 2019. "Governance,CO2 emissions and inclusive human development in Sub-Saharan Africa," Working Papers 25253, University of South Africa, Department of Economics.
    10. 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).
    11. Meng, Hui & Wang, Meihong & Olumayegun, Olumide & Luo, Xiaobo & Liu, Xiaoyan, 2019. "Process design, operation and economic evaluation of compressed air energy storage (CAES) for wind power through modelling and simulation," Renewable Energy, Elsevier, vol. 136(C), pages 923-936.
    12. Samin Raziperchikolaee & Ashwin Pasumarti & Srikanta Mishra, 2020. "The effect of natural fractures on CO2 storage performance and oil recovery from CO2 and WAG injection in an Appalachian basin reservoir," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(5), pages 1098-1114, October.
    13. Turgay Ertekin & Qian Sun, 2019. "Artificial Intelligence Applications in Reservoir Engineering: A Status Check," Energies, MDPI, vol. 12(15), pages 1-22, July.
    14. Zhou, Xiang & Yuan, Qingwang & Rui, Zhenhua & Wang, Hanyi & Feng, Jianwei & Zhang, Liehui & Zeng, Fanhua, 2019. "Feasibility study of CO2 huff 'n' puff process to enhance heavy oil recovery via long core experiments," Applied Energy, Elsevier, vol. 236(C), pages 526-539.
    15. Zhang, Lisong & Li, Jing & Sun, Luning & Yang, Feiyue, 2021. "An influence mechanism of shale barrier on heavy oil recovery using SAGD based on theoretical and numerical analysis," Energy, Elsevier, vol. 216(C).
    16. Hanamertani, Alvinda Sri & Ahmed, Shehzad, 2021. "Probing the role of associative polymer on scCO2-Foam strength and rheology enhancement in bulk and porous media for improving oil displacement efficiency," Energy, Elsevier, vol. 228(C).
    17. Arena, Marika & Azzone, Giovanni & Dell’Agostino, Laura & Scotti, Francesco, 2022. "Precision policies and local content targets in resource-rich developing countries: The case of the oil and gas sector in Mozambique," Resources Policy, Elsevier, vol. 76(C).
    18. 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.
    19. Scanziani, Alessio & Singh, Kamaljit & Menke, Hannah & Bijeljic, Branko & Blunt, Martin J., 2020. "Dynamics of enhanced gas trapping applied to CO2 storage in the presence of oil using synchrotron X-ray micro tomography," Applied Energy, Elsevier, vol. 259(C).
    20. Zhang, Rongda & Wei, Jing & Zhao, Xiaoli & Liu, Yang, 2022. "Economic and environmental benefits of the integration between carbon sequestration and underground gas storage," Energy, Elsevier, vol. 260(C).

    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:247:y:2019:i:c:p:190-211. 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.