Planning of Oil and Gas Fields at PT JFS Using the AHP-Topsis Method as a Candidate for the Application of CCUS Technology Based on CO2 Injection EOR
AHP-TOPSIS法を用いたPT JFSの油ガス田計画:CO2圧入EORに基づくCCUS技術適用候補として (AI 翻訳)
Jonathan Fritz Simamora, R. Wahyuono
🤖 gxceed AI 要約
日本語
本研究は、成熟油ガス田におけるCO2-EORを伴うCCUS適用の候補地選定にAHP-TOPSIS法を適用した。5つの油田を5基準・13サブ基準で評価し、貯留層特性が最重要(重み0.438)と判明。TOPSIS分析によりAdes油田が最有力候補(選好度0.865)と選定された。モデルはPT ABCのケーススタディで検証され、客観的な意思決定支援ツールとしての有効性が示された。
English
This study applies the AHP-TOPSIS method to select candidate fields for CCUS with CO2-EOR in mature oil and gas fields. Five fields were evaluated based on five criteria and thirteen subcriteria, with reservoir properties identified as the most important (weight 0.438). The TOPSIS analysis selected the Ades field as the highest-priority candidate (preference value 0.865). The model was validated through a case study at PT ABC, demonstrating its effectiveness as an objective decision-support tool.
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CCUSはカーボンニュートラル実現の重要技術と位置づけられ、2023年にCCS事業法が成立。本モデルは国内のCCUS候補地選定や、石油天然ガス開発企業の投資判断に応用可能で、SSBJ開示における移行計画の裏付けとしても有用。
In the global GX context
Globally, CCUS is recognized as a critical technology for decarbonization, with projects scaling up under the IEA and IPCC scenarios. This study provides a systematic MCDM framework for prioritizing CCUS-EOR sites, which can inform investment decisions and align with TCFD/ISSB transition planning expectations.
👥 読者別の含意
🔬研究者:Provides a validated AHP-TOPSIS framework for CCUS site selection that can be adapted to other regions.
🏢実務担当者:Offers a practical decision-support tool for oil and gas companies planning CCUS-EOR projects.
🏛政策担当者:Highlights the importance of systematic site selection for CCUS deployment, relevant for policy design.
📄 Abstract(原文)
PT JFS’s mature oil and gas fields have experienced declining reservoir pressure, increasing water cut, and reduced productivity due to long-term reservoir depletion. To support efforts to enhance oil production while reducing carbon emissions, the integration of Carbon Capture, Utilization, and Storage (CCUS) with CO?-based Enhanced Oil Recovery (CO?-EOR) presents a significant implementation opportunity. This research aimed to determine the most potential field priorities for CO?-EOR implementation at PT JFS using a Multi-Criteria Decision-Making (MCDM) approach. Five alternative fields—Prabu, Lima, Ades, Pendekar, and Rambo—were evaluated based on five criteria and thirteen subcriteria identified through Focus Group Discussions with Subject Matter Experts (SMEs). The Analytical Hierarchy Process (AHP) was applied to determine the criteria weights, while the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to rank alternatives based on their proximity to the ideal solution. The results showed that Reservoir Properties had the highest weight (0.438), while Production Realization (0.215) and Permeability (0.183) were the most influential factors at the subcriterion level. Based on the TOPSIS analysis, the Ades field was selected as the highest-priority candidate, with a preference value of 0.865, followed by Prabu, Lima, and Pendekar, while Rambo ranked as the lowest-priority alternative. The developed AHP-TOPSIS model was validated using a case study at PT ABC, in which the Sukowan field was identified as the most feasible candidate compared with other alternatives, demonstrating the model’s consistency with actual technical and operational considerations. This model can serve as an objective, systematic, and consistent decision-support tool for CCUS project planning and has the potential for application in other oil and gas fields with similar characteristics.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://ijsr.internationaljournallabs.com/index.php/ijsr/article/download/3361/2010first seen 2026-08-12 05:21:29 · last seen 2026-08-13 05:31:22
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