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The potential of machine learning for enhancing CO2 sequestration, storage, transportation, and utilization-based processes: a brief perspective

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Main Authors: Gupta, Surojit, Li, Lan
Format: Article
Published: Springer 2022
Online Access:http://scholars.utp.edu.my/id/eprint/36974/
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id oai:scholars.utp.edu.my:36974
record_format eprints
spelling oai:scholars.utp.edu.my:369742023-09-05T08:59:00Z http://scholars.utp.edu.my/id/eprint/36974/ The potential of machine learning for enhancing CO2 sequestration, storage, transportation, and utilization-based processes: a brief perspective Gupta, Surojit Li, Lan Springer 2022 Article NonPeerReviewed Gupta, Surojit and Li, Lan (2022) The potential of machine learning for enhancing CO2 sequestration, storage, transportation, and utilization-based processes: a brief perspective. JOM, 74 (2). pp. 414-428.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Article
author Gupta, Surojit
Li, Lan
spellingShingle Gupta, Surojit
Li, Lan
The potential of machine learning for enhancing CO2 sequestration, storage, transportation, and utilization-based processes: a brief perspective
author_facet Gupta, Surojit
Li, Lan
author_sort Gupta, Surojit
title The potential of machine learning for enhancing CO2 sequestration, storage, transportation, and utilization-based processes: a brief perspective
title_short The potential of machine learning for enhancing CO2 sequestration, storage, transportation, and utilization-based processes: a brief perspective
title_full The potential of machine learning for enhancing CO2 sequestration, storage, transportation, and utilization-based processes: a brief perspective
title_fullStr The potential of machine learning for enhancing CO2 sequestration, storage, transportation, and utilization-based processes: a brief perspective
title_full_unstemmed The potential of machine learning for enhancing CO2 sequestration, storage, transportation, and utilization-based processes: a brief perspective
title_sort potential of machine learning for enhancing co2 sequestration, storage, transportation, and utilization-based processes: a brief perspective
publisher Springer
publishDate 2022
url http://scholars.utp.edu.my/id/eprint/36974/
_version_ 1776249642876403712
score 13.209306

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