Defining CO 2 Geological Storage Capacity in Unmineable Coal Seams Through Adsorption Data in 3D: Case Study of the Chico Lomã Deposit, Southern Brazil

Saulo B. de Oliveira (), Haline V. Rocha, Cristina F. A. Rodrigues, Manuel J. Lemos de Sousa and Colombo C. G. Tassinari
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Saulo B. de Oliveira: Instituto de Geociências, Universidade de São Paulo, São Paulo 05508-080, SP, Brazil
Haline V. Rocha: Instituto de Energia e Ambiente, Universidade de São Paulo, São Paulo 05508-900, SP, Brazil
Cristina F. A. Rodrigues: Faculdade de Ciência e Tecnologia, Fundação/Universidade Fernando Pessoa, Praça de 9 de Abril, 349, 4249-004 Porto, Portugal
Manuel J. Lemos de Sousa: Faculdade de Ciência e Tecnologia, Fundação/Universidade Fernando Pessoa, Praça de 9 de Abril, 349, 4249-004 Porto, Portugal
Colombo C. G. Tassinari: Instituto de Energia e Ambiente, Universidade de São Paulo, São Paulo 05508-900, SP, Brazil

Sustainability, 2025, vol. 17, issue 7, 1-20

Abstract: The concentration of greenhouse gases in the atmosphere has led to irreversible climate changes, emphasizing the need for effective strategies to mitigate emissions. Carbon capture, utilization, and storage (CCUS) technologies, including geological CO 2 storage, have gained recognition worldwide due to their potential for CO 2 emissions abatement. Among potential geological reservoirs, coal seams are significant due to their efficiency in securing CO 2 storage, through their adsorption storage capacity. This study presents an innovative methodology for estimating the theoretical CO 2 storage capacity in unmineable coal seams, focusing on the Chico Lomã deposit in southern Brazil. The methodology integrates a comprehensive drillhole database and adsorption isotherm data to define the coal reservoir zone and calculate its CO 2 storage capacity. The results indicate a total theoretical CO 2 storage capacity of 47.8 Gt in the Chico Lomã deposit, with the potential to mitigate emissions from local thermoelectric plants for over 500 years. The study encourages the application of the proposed methodology to assess CO 2 storage capacity in other unmineable coal deposits worldwide.

Keywords: CO 2 geological storage; implicit modeling; 3D model; coal deposits; Paraná Basin; Rio Bonito Formation; exploration phase; CCS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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