A Hierarchical Framework for CO2 Storage Capacity in Deep Saline Aquifer Formations

Wei, Ning; Li, Xiaochun; Jiao, Zhunsheng; Stauffer, Philip H.; Liu, Shengnan; Ellett, Kevin M.; Middleton, Richard Stephen

doi:10.3389/feart.2021.777323

Title: A Hierarchical Framework for CO2 Storage Capacity in Deep Saline Aquifer Formations

Journal Article · Tue Jan 18 00:00:00 EST 2022 · Frontiers in Earth Science

DOI:https://doi.org/10.3389/feart.2021.777323· OSTI ID:1855134

Wei, Ning ^[1]; Li, Xiaochun ^[1]; Jiao, Zhunsheng ^[2];

^[3]; Liu, Shengnan ^[1]; Ellett, Kevin M. ^[4];

^[3]

Chinese Academy of Sciences (CAS), Wuhan (China)
Univ. of Wyoming, Laramie, WY (United States)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Indiana Univ., Bloomington, IN (United States)

Carbon dioxide (CO₂) storage in deep saline aquifers is a vital option for CO₂ mitigation at a large scale. Determining storage capacity is one of the crucial steps toward large-scale deployment of CO₂ storage. Results of capacity assessments tend toward a consensus that sufficient resources are available in saline aquifers in many parts of the world. However, current CO₂ capacity assessments involve significant inconsistencies and uncertainties caused by various technical assumptions, storage mechanisms considered, algorithms, and data types and resolutions. Furthermore, other constraint factors (such as techno-economic features, site suitability, risk, regulation, social-economic situation, and policies) significantly affect the storage capacity assessment results. Consequently, a consensus capacity classification system and assessment method should be capable of classifying the capacity type or even more related uncertainties. We present a hierarchical framework of CO₂ capacity to define the capacity types based on the various factors, algorithms, and datasets. Finally, a review of onshore CO₂ aquifer storage capacity assessments in China is presented as examples to illustrate the feasibility of the proposed hierarchical framework.

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Research Organization:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); China’s National Key R&D Program

Grant/Contract Number:: 89233218CNA000001; 2019YFE0100100; 2016YFE0102500

OSTI ID:: 1855134

Report Number(s):: LA-UR-21-21834

Journal Information:: Frontiers in Earth Science, Vol. 9; ISSN 2296-6463

Publisher:: Frontiers Research FoundationCopyright Statement

Country of Publication:: United States

Language:: English

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