Previous Issue
Volume 42, IOCE 2026
 
 
eesp-logo

Journal Browser

Journal Browser

Environ. Earth Sci. Proc., 2026, IOCMS 2026

  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
  • You may sign up for e-mail alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Number of Papers: 1
Order results
Result details
Select all
Export citation of selected articles as:

Other

9 pages, 5093 KB  
Proceeding Paper
Old Tool, New Purpose: Rock-Eval Analysis for CO2 Mineralization Screening in Basalts
by Stéphanie Carvalho da Silva, Mellanye F. Graf, João Pedro T. Zielinski, Erico A. dos Santos, William J. Fucks, Natália S. Wouters, Antônio R. G. Oliveira, Victor H. J. M. dos Santos and Felipe D. Vecchia
Environ. Earth Sci. Proc. 2026, 43(1), 1; https://doi.org/10.3390/eesp2026043001 - 2 Jun 2026
Viewed by 43
Abstract
Rock-Eval® (RE) analysis, traditionally used in the oil and gas sector, was evaluated as a rapid screening tool for detecting and quantifying CO2 mineralization in basaltic systems. After a two-step experimental approach, powdered basalt samples from the Serra Geral Group were [...] Read more.
Rock-Eval® (RE) analysis, traditionally used in the oil and gas sector, was evaluated as a rapid screening tool for detecting and quantifying CO2 mineralization in basaltic systems. After a two-step experimental approach, powdered basalt samples from the Serra Geral Group were analyzed for total mineral carbon content (MinC wt. %) to detect and estimate CO2-to-carbonate conversion during CO2 mineralization experiments using an integrated analytical workflow based on a personalized calibration approach. The results demonstrate that RE analysis is a rapid and effective screening tool for detecting carbonate formation and identifying the most carbonated samples, providing a first-order estimate of carbonate abundance. Carbonate content was estimated from CO2 peak intensity using a calibration curve, enabling classification into three groups, supported by SEM/EDS analyses. Full article
Show Figures

Figure 1

Previous Issue
Back to TopTop