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Design, construction, and validation of an in-situ groundwater trace element analyzer with applications in carbon storage.
Hartzler, Daniel A; Bhatt, Chet R; McIntyre, Dustin L.
Afiliação
  • Hartzler DA; National Energy Technology Laboratory, 3610 Collins Ferry Road, Morgantown, WV, 26507, USA.
  • Bhatt CR; NETL Support Contractor, 3610 Collins Ferry Road, Morgantown, WV, 26507, USA.
  • McIntyre DL; Leidos Research Support Team, 3610 Collins Ferry Rd, Morgantown, WV, 26505, USA.
Sci Rep ; 13(1): 7516, 2023 May 09.
Article em En | MEDLINE | ID: mdl-37160918
ABSTRACT
It is estimated that carbon emissions should reach net-zero by 2050 to meet important climate targets. Carbon capture is likely necessary to reach these targets, requiring a long-term storage solution such as geological carbon sequestration. However, as with any subsurface activity, leakage can occur, potentially impacting groundwater quality near the storage site. Rapid detection is essential to mitigate damage to this resource. Since CO2 will acidify groundwater, the concentrations of acid soluble minerals and associated cations will increase. Thus, an in-situ, real-time element analysis system based on laser-induced breakdown spectroscopy (LIBS) is under development to monitor these elements. The system splits the traditional LIBS system into a miniature, all-optical sensor head built around a passively Q-switch laser fiber coupled to a control unit. Previous work has validated the LIBS technique for use at high pressure as well as the split system design. In this work, a fieldable prototype sensor is developed and tested in an onsite monitoring well where trace elements concentrations (approx. 0-3 ppm) were tracked over 20 days. These concentrations varied in response to local rainfall, diluting with increased rain, demonstrating the ability of a LIBS-based sensor to track trace elements under real-world conditions.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article