Applications of chemical monitoring technologies for sub-sea CCS; Sensor assessment, baseline measurement and natural variability

• Evaluation of biogeochemical sensor for CCS MMV in Australia. • Tempo-spatial coverage of baseline biochemical signals for proposed CCS injection site. • Comparison and suitability of fixed and mobile platforms equipped with biogeochemical sensors for CCS monitoring. Sub-sea carbon dioxide (CO 2 ) storage on a commercial scale will require baseline measurements and ongoing monitoring of the biochemical signal of the water column above a storage complex to understand natural variation at the injection site and to be able to distinguish this from a potential leak from the storage structure. Here we discuss the performance of a suite of chemical sensors on various platforms and the observed biogeochemical signals within a near-shore dynamic environment in the Bass Strait, Gippsland, Australia. These sensors were deployed on seabed landers, surface moorings, Saildrone unmanned surface vehicle (USV) and a crewed vessel demonstrating reliable and high-quality, near real-time data return. We discuss the baseline signal and natural variability of the biochemical parameters at the study site and its relevance in the context of CCS monitoring.

Authors

Institutions

Publication Details

Journal
International journal of greenhouse gas control
Published
2025-10-31
DOI
https://doi.org/10.1016/j.ijggc.2025.104516
Citations
1
Primary Topic
Ocean Acidification Effects and Responses
Type
article
Field-Weighted Citation Impact
1.79
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Applications of chemical monitoring technologies for sub-sea CCS; Sensor assessment, baseline measurement and natural variability

Joanne E. Myers, Abraham Passmore, Andrew Ross, Erik van Ooijen
1 citations
International journal of greenhouse gas control
Ocean Acidification Effects and Responses
1.79
article

Applications of chemical monitoring technologies for sub-sea CCS; Sensor assessment, baseline measurement and natural variability

Joanne E. Myers, Abraham Passmore, Andrew Ross, Erik van Ooijen
article en
1 citations

Abstract

• Evaluation of biogeochemical sensor for CCS MMV in Australia. • Tempo-spatial coverage of baseline biochemical signals for proposed CCS injection site. • Comparison and suitability of fixed and mobile platforms equipped with biogeochemical sensors for CCS monitoring. Sub-sea carbon dioxide (CO 2 ) storage on a commercial scale will require baseline measurements and ongoing monitoring of the biochemical signal of the water column above a storage complex to understand natural variation at the injection site and to be able to distinguish this from a potential leak from the storage structure. Here we discuss the performance of a suite of chemical sensors on various platforms and the observed biogeochemical signals within a near-shore dynamic environment in the Bass Strait, Gippsland, Australia. These sensors were deployed on seabed landers, surface moorings, Saildrone unmanned surface vehicle (USV) and a crewed vessel demonstrating reliable and high-quality, near real-time data return. We discuss the baseline signal and natural variability of the biochemical parameters at the study site and its relevance in the context of CCS monitoring.

International journal of greenhouse gas controlVol. 148
CSIRO Oceans and Atmosphere (AU), Commonwealth Scientific and Industrial Research Organisation (AU), EnergyAustralia (Australia) (AU), Australian Resources Research Centre (AU)
Openalex Percentile: Top 13%
Ocean Acidification Effects and Responses
1.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.