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Application of a new reduced‐complexity assessment tool to estimate CO2 and brine leakage from reservoir and above‐zone monitoring interval (AZMI) through an abandoned well under geologic carbon storage conditions

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  • Liwei Zhang
  • Robert Dilmore
  • Nicolas Huerta
  • Yee Soong
  • Veronika Vasylkivska
  • Argha Namhata
  • Yan Wang
  • Xiaochun Li

Abstract

This study employs a combination of detailed simulations and reduced‐complexity models in the Well Leakage Analysis Tool (WLAT), developed by the National Risk Assessment Partnership (NRAP), US Department of Energy, to investigate how the rates of CO2 and brine leakage through an abandoned well under geologic CO2 storage conditions are affected by various factors. The factors considered in this study include depth of well penetration into the storage system, location relative to the point of injection, and effective permeability of the abandoned well. Location is the primary factor used to identify high‐ and low‐risk abandoned wells. For the typical CO2 injection scenario considered in this study, the potential impact of CO2 and brine leakage through an abandoned well is very low if the abandoned well is 6.2 km or further away from the CO2 injector. Due to the buoyancy of CO2 relative to formation brine, wells intersecting (i.e., accepting flow from) the top of the above‐zone monitoring interval (AZMI), which is the interval immediately above the seal, have a higher chance to become a pathway for CO2 than wells intersecting the bottom of the AZMI. If the permeability of an abandoned well is 10−14 m2 or less, the risk of CO2 and brine leakage through the well becomes very low. Due to the combined effect of pressure increase and buoyancy, the CO2 leakage rate is higher than brine leakage rate within the CO2 plume extent. Specific values reported in this study are site‐specific results and cannot be regarded as general findings. © 2018 Society of Chemical Industry and John Wiley & Sons, Ltd.

Suggested Citation

  • Liwei Zhang & Robert Dilmore & Nicolas Huerta & Yee Soong & Veronika Vasylkivska & Argha Namhata & Yan Wang & Xiaochun Li, 2018. "Application of a new reduced‐complexity assessment tool to estimate CO2 and brine leakage from reservoir and above‐zone monitoring interval (AZMI) through an abandoned well under geologic carbon stora," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 8(5), pages 839-853, October.
  • Handle: RePEc:wly:greenh:v:8:y:2018:i:5:p:839-853
    DOI: 10.1002/ghg.1813
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    References listed on IDEAS

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    1. Liwei Zhang & Robert M. Dilmore & Grant S. Bromhal, 2016. "Effect of outer boundary condition, reservoir size, and CO 2 effective permeability on pressure and CO 2 saturation predictions under carbon sequestration conditions," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 6(4), pages 546-560, August.
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    Cited by:

    1. Qian Wang & Shenglai Yang & Haishui Han & Lu Wang & Kun Qian & Jieqiong Pang, 2019. "Experimental Investigation on the Effects of CO 2 Displacement Methods on Petrophysical Property Changes of Ultra-Low Permeability Sandstone Reservoirs Near Injection Wells," Energies, MDPI, vol. 12(2), pages 1-20, January.

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