Future data strategies for 4D carbon sequestration reservoir monitoring

Increasingly larger volumes of valuable surveillance data are being generated and delivered from commercial scale carbon sequestration and other low-carbon energy geologic storage projects as part of the energy transition. This digital data avalanche presents an opportunity to adopt and adapt future data management technologies, reducing cycle times for finding, accessing, interoperating, and reusing data sets. Increasing the value of information over time in decadal geologic storage projects will create measurable standards for understanding reservoir behavior and geomechanics.

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Publication Details

Published
2025-02-05
DOI
https://doi.org/10.1190/4d-forum2024-034.1
Primary Topic
Distributed and Parallel Computing Systems
Type
article
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article

Future data strategies for 4D carbon sequestration reservoir monitoring

Jess Kozman
Distributed and Parallel Computing Systems
article

Future data strategies for 4D carbon sequestration reservoir monitoring

Jess Kozman
article en

Abstract

Increasingly larger volumes of valuable surveillance data are being generated and delivered from commercial scale carbon sequestration and other low-carbon energy geologic storage projects as part of the energy transition. This digital data avalanche presents an opportunity to adopt and adapt future data management technologies, reducing cycle times for finding, accessing, interoperating, and reusing data sets. Increasing the value of information over time in decadal geologic storage projects will create measurable standards for understanding reservoir behavior and geomechanics.

Openalex Percentile: Top 98%
Distributed and Parallel Computing Systems
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Future data strategies for 4D carbon sequestration reservoir monitoring — Jess Kozman · (2025) | TGRS Research Map | TGRS