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Exploring the Impacts of Source Condition Uncertainties on Far-Field Brine Leakage Plume Predictions in Geologic Storage of CO2: Integrating Intermediate-Scale Laboratory Testing With Numerical Modeling

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F21%3A00353473" target="_blank" >RIV/68407700:21340/21:00353473 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://doi.org/10.1029/2021WR029679" target="_blank" >https://doi.org/10.1029/2021WR029679</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1029/2021WR029679" target="_blank" >10.1029/2021WR029679</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Exploring the Impacts of Source Condition Uncertainties on Far-Field Brine Leakage Plume Predictions in Geologic Storage of CO2: Integrating Intermediate-Scale Laboratory Testing With Numerical Modeling

  • Popis výsledku v původním jazyce

    Natural fissures/faults or pressure-induced fractures in the caprock confining injected CO2 have been identified as a potential leakage pathways of far-field native brine contaminating underground sources of drinking water. Developing models to simulate brine propagation through the overlaying formations and aquifers is essential to conduct reliable pre- and post-risk assessments for site selection and operation, respectively. One of the primary challenges of performing such simulations is lack of adequate information about source conditions, such as hydro-structural properties of caprock fracture/fault zone and the permeability field of the storage formation. This research investigates the impact of source condition uncertainties on the accuracy of leaking brine plume predictions. Prediction models should be able to simulate brine leakage and transport in complex multilayered geologic systems with interacting regional natural and leakage flows. As field datasets are not readily available for model testing and validation, three comprehensive intermediate-scale laboratory experiments were used to generate high-resolution spatiotemporal data on brine plume development under different leakage scenarios. Experimental data were used to validate a flow and transport model developed using existing code FEFLOW to simulate brine plume under varying source conditions. Spatial moment analysis was conducted to evaluate how uncertainty in source conditions impacts brine migration predictions. Results showed that inaccurately prescribing the permeability field of storage formation and caprock fractures in models can cause errors in leakage pathway and spread predictions up to similar to 19% and similar to 100%, respectively. These findings will help in selecting and characterizing storage sites by factoring in potential risks to shallow groundwater resources.

  • Název v anglickém jazyce

    Exploring the Impacts of Source Condition Uncertainties on Far-Field Brine Leakage Plume Predictions in Geologic Storage of CO2: Integrating Intermediate-Scale Laboratory Testing With Numerical Modeling

  • Popis výsledku anglicky

    Natural fissures/faults or pressure-induced fractures in the caprock confining injected CO2 have been identified as a potential leakage pathways of far-field native brine contaminating underground sources of drinking water. Developing models to simulate brine propagation through the overlaying formations and aquifers is essential to conduct reliable pre- and post-risk assessments for site selection and operation, respectively. One of the primary challenges of performing such simulations is lack of adequate information about source conditions, such as hydro-structural properties of caprock fracture/fault zone and the permeability field of the storage formation. This research investigates the impact of source condition uncertainties on the accuracy of leaking brine plume predictions. Prediction models should be able to simulate brine leakage and transport in complex multilayered geologic systems with interacting regional natural and leakage flows. As field datasets are not readily available for model testing and validation, three comprehensive intermediate-scale laboratory experiments were used to generate high-resolution spatiotemporal data on brine plume development under different leakage scenarios. Experimental data were used to validate a flow and transport model developed using existing code FEFLOW to simulate brine plume under varying source conditions. Spatial moment analysis was conducted to evaluate how uncertainty in source conditions impacts brine migration predictions. Results showed that inaccurately prescribing the permeability field of storage formation and caprock fractures in models can cause errors in leakage pathway and spread predictions up to similar to 19% and similar to 100%, respectively. These findings will help in selecting and characterizing storage sites by factoring in potential risks to shallow groundwater resources.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20701 - Environmental and geological engineering, geotechnics

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/LTAUSA19021" target="_blank" >LTAUSA19021: Výpočetní modely a experimentální zkoumání dynamiky tekutin, přestupu hmoty, transportu látek a fázových přechodů v porézním prostředí v problematice ochrany životního prostředí</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2021

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Water Resources Research

  • ISSN

    0043-1397

  • e-ISSN

    1944-7973

  • Svazek periodika

    57

  • Číslo periodika v rámci svazku

    9

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    24

  • Strana od-do

  • Kód UT WoS článku

    000703704400012

  • EID výsledku v databázi Scopus

    2-s2.0-85115774502