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統合的監視・訓練・運用支援を目的と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）の設計・実装・初期検証結果を報告する。デジタルツイン、AI分析、IoTモニタリング、AR/VR/MRインターフェースを統合し、CO₂モニタリングダッシュボードやVR操作ウォークスルーを開発した。Prinos貯留サイトの地震ベースラインデータセットを統合し、実運用への応用可能性を示した。
English
This paper presents the design, implementation, and initial validation of an Industrial Metaverse Platform for CCS value chains, developed within the COREu project. It integrates digital twins, AI-driven analytics, IoT-based monitoring, and AR/VR/MR interfaces to support real-time monitoring, training, and stakeholder collaboration. Key outcomes include representative digital twins of CCS assets, a CO₂ monitoring dashboard, integration of seismic baseline data for the Prinos storage site, and early VR operational walkthroughs.
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
日本ではCCSはGX実現の重要技術であり、2024年のCCS事業法案成立に伴い実証から事業化へ移行中。本論文のメタバースプラットフォームは、日本企業がCCSバリューチェーン全体を効率的に管理・訓練するためのデジタル基盤として参考になる。SSBJ開示におけるCCS関連のモニタリング・報告にも応用可能性がある。
In the global GX context
This paper contributes to the global CCS digital infrastructure discourse by demonstrating an integrated Industrial Metaverse platform that combines digital twins, AI, and IoT for real-time monitoring and training. As CCS scales globally (e.g., in the US IRA, EU Net-Zero Industry Act), such platforms can enhance operational safety, transparency, and stakeholder trust—key for transition finance and disclosure (e.g., ISSB, CSRD related to CCUS reporting).
👥 読者別の含意
🔬研究者:Researchers in AI/ML, digital twins, and CCS monitoring will find a novel integration framework and early validation results.
🏢実務担当者:Practitioners in CCS project development and operations can leverage this platform concept for training, real-time monitoring, and stakeholder communication.
🏛政策担当者:Policymakers interested in CCS infrastructure standards and digitalization may note this as an example of how immersive technologies can support safe and transparent CCS value chains.
📄 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.21640415first seen 2026-07-30 05:31:00
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。