Industrial Metaverse for Carbon Capture and Storage (CCS)
炭素回収・貯留(CCS)のためのインダストリアルメタバース (AI 翻訳)
Dimitris Bakalbasis, Dimitris Karadimas, Anastasia Vassilakopoulou
🤖 gxceed AI 要約
日本語
本論文は、CCSバリューチェーン全体の監視、訓練、協力を支援するデジタルツイン、AI、IoT、VR/ARを統合したインダストリアルメタバースプラットフォーム(COREuプロジェクト)の開発を報告する。初期成果として、デジタルツイン、CO2監視ダッシュボード、Prinos貯留地域の地震データ統合が含まれる。
English
This paper presents the COREu project's development of an Industrial Metaverse Platform for CCS, integrating digital twins, AI, IoT, and VR/AR to support monitoring, training, and collaboration across the CCS value chain. Initial outcomes include digital twins, a CO2 monitoring dashboard, and integration of seismic baseline data for the Prinos storage site.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本はGX実現に向けCCSを推進しており、苫小牧などプロジェクトが進行中。本論文のデジタルツインやメタバース技術は、日本のCCS事業の効率化・安全運用に応用可能であり、SSBJやカーボンクレジットとの連携も期待される。
In the global GX context
CCS is recognized globally as essential for decarbonizing hard-to-abate sectors. This paper's industrial metaverse approach offers a novel framework for integrated CCS operations, with implications for monitoring, safety, and stakeholder collaboration that align with ISSB and TCFD disclosure needs.
👥 読者別の含意
🔬研究者:Technical contribution: integrating digital twin and metaverse for CCS operational support.
🏢実務担当者:Insights for implementing digital monitoring and training systems in CCS projects.
🏛政策担当者:Potential of digital infrastructure to enhance CCS deployment and transparency.
📄 Abstract(原文)
Carbon Capture and Storage (CCS) is emerging as a critical pathway for achieving large-scale reduction of industrial CO₂ emissions. As CCS value chains grow in complexity—spanning capture facilities, conditioning and compression units, transportation infrastructures, and offshore storage sites—the need for integrated monitoring, training, and operational support becomes increasingly essential. The COREu project addresses this need through the development of an Industrial Metaverse Platform, a unified 3D immersive environment that integrates digital twins, AI-driven analytics, IoT-based monitoring, and AR/VR/MR interfaces to support safe and efficient CCS operations. The scope of this work is to design, implement, and validate a modular Metaverse environment that supports training, real-time monitoring, stakeholder collaboration, and visualization of CCS processes along the entire value chain. This extended abstract presents the methodology and initial research outcomes of the first development phase, including the construction of representative digital twins, the design of a CO₂ monitoring dashboard, the integration of seismic baseline datasets for the Prinos storage area, and the early development of IoT-driven interactions and VR-based operational walkthroughs.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.21640414first seen 2026-07-30 05:31:14
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