Automating ESG: A Blockchain Enabled Framework for Transparent Carbon Emission Tracking in Indigenous Oil Production
ESGの自動化：先住民族ナイジェリア石油生産における透明な炭素排出追跡のためのブロックチェーン対応フレームワーク (AI 翻訳)
F. Kelechi, A. Aribisala
🤖 gxceed AI 要約
日本語
ナイジェリアの先住民族石油・ガス企業向けに、ブロックチェーン（Hyperledger Fabric）を用いたScope 1・2排出量の自動追跡・報告システムを提案。手動報告の75%時間削減、エラー排除、IFRS S2準拠のESG報告を実現し、グリーン移行資金やサステナビリティ連動融資の獲得を支援する。
English
This paper proposes a blockchain-based (Hyperledger Fabric) automated system for tracking Scope 1 and 2 emissions in indigenous Nigerian oil and gas companies. It reduces manual reporting time by 75%, eliminates errors, and ensures IFRS S2-compliant ESG reporting, enabling access to green transition finance and sustainability-linked loans.
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SSBJ開示が始まり、サプライチェーン排出量の透明性が求められる。本提案はブロックチェーンによるデータ改ざん防止と自動報告の実証で、日本の中小企業や石油業界の開示実務に示唆を与える。
In the global GX context
This paper contributes to global disclosure scholarship by demonstrating how blockchain can enhance data integrity and automation in Scope 1/2 reporting, aligning with IFRS S2 and TCFD. It offers a model for emerging markets to build credibility with international lenders and transition finance providers.
👥 読者別の含意
🔬研究者:Blockchain-based automated ESG reporting frameworks and their impact on data transparency and reporting efficiency.
🏢実務担当者:A practical approach to automate Scope 1/2 data collection and reporting, reducing manual errors and improving lender credibility.
🏛政策担当者:Evidence that technology-enabled transparency can support transition finance and sustainability-linked loans in oil and gas sectors.
📄 Abstract（原文）
Indigenous Nigerian oil and gas companies face growing pressure to report environmental social and governance performance as funding for new oil and gas projects dwindles. Present day manual reporting systems are subject to errors and do not provide the transparency needed by global lenders. Therefore, this research explores a transparent automated software tool that will enable indigenous Nigerian oil and gas companies to track scope 1 and scope 2 greenhouse gases using blockchain technology to build credibility with lenders and regulatory bodies. The proposed solution uses permissioned hyper ledger fabric blockchain ledger to create an immutable and timestamped log of all data collected from the facilities’ digital flow meter readings and fuel consumption records. Additionally, the proposed solution will include an automated reporting module for the company's ESG performance compliant with the IFRS S2 Climate-Related Disclosure Standard. The results show that the automated system was able to reduce the time required to manually report emissions by 75%, eliminated errors in manual spreadsheet-based reports and provided verifiable and tamper-proof data on carbon intensity. The proposed solution enables indigenous Nigerian oil and gas companies to obtain green transition finance and sustainability linked loans; thus enabling them to demonstrate that true decarbonization in the upstream oil and gas sector requires true data transparency.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.2118/234894-msfirst seen 2026-08-13 05:28:15
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