Greenhouse Gas Capture and Storage in Depleted Reservoirs to Limit Greenhouse Gas Emissions and to be Used for Enhanced Oil Recovery in Cuu Long Basin, Vietnam
ベトナム・クーロン盆地の枯渇油田における温室効果ガス回収・貯留とEORへの活用 (AI 翻訳)
Pham Son Tung, Nguyen Quang Huy
🤖 gxceed AI 要約
日本語
ベトナム・クーロン盆地のX油田で、CO2-EORとCO2貯留の同時最適化を評価。LSTMニューラルネットによる代理モデルで100回のモンテカルロ不確実性解析を実施し、総貯留容量約1610万トン、2300年までの安定した地中貯留を確認。技術的・経済的実現可能性を示した。
English
This study evaluates co-optimization of CO2 storage and enhanced oil recovery (CO2-EOR) in the Cuu Long Basin, Vietnam. Using an LSTM-based surrogate model for rapid forecasting and uncertainty quantification, it confirms technical and economic feasibility with a total storage capacity of ~16.1 million tons and stable containment over 300 years.
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技術の社会実装が進められており、本論文のLSTM代理モデルによる貯留層評価の効率化は、国内のCCSプロジェクトのコスト削減やリスク評価に応用可能。また、ベトナムでのCO2-EORの経済性評価は、日本の石油・ガス企業の海外事業戦略にも示唆を与える。
In the global GX context
Globally, CCUS is critical for decarbonization, and this paper demonstrates a novel application of LSTM-based surrogate modeling to accelerate reservoir simulation and uncertainty analysis. The co-optimization framework for CO2-EOR provides insights for maximizing economic returns while ensuring long-term storage integrity, relevant to international oil companies and climate policy.
👥 読者別の含意
🔬研究者:LSTM代理モデルによる貯留層シミュレーションの高速化と不確実性定量化の手法は、CCS研究に応用可能。
🏢実務担当者:CO2-EORの経済性評価と炭素クレジットの活用事例は、CCS事業の投資判断に参考になる。
🏛政策担当者:ベトナムのCCS政策と炭素クレジット制度がプロジェクト経済性に与える影響は、政策設計に示唆を与える。
📄 Abstract（原文）
ABSTRACT This study evaluates the simultaneous co‐optimization of carbon dioxide storage and enhanced oil recovery (CO 2 ‐EOR) in the X Oilfield, Cuu Long Basin, Vietnam, to assess long‐term CO 2 storage integrity over 300 years. A dynamic reservoir model was developed from a geological model constructed in Petrel and validated using ECLIPSE simulation, achieving approximately 90% accuracy against historical production data. On the basis of the validated model, sensitivity analysis was conducted to investigate the impact of key operational parameters on CO 2 ‐EOR performance and CO 2 sequestration. The results indicate that a CO 2 injection rate of 20,000 Mscf/day maximizes oil recovery. In contrast, a higher injection rate of 40,000 Mscf/day yields the most significant economic benefit, driven by carbon credit incentives and government subsidies. To address the computational cost and time limitations of conventional numerical simulation, a surrogate reservoir model (SRM) based on long short‐term memory (LSTM) neural networks was developed. The SRM model rapidly produces forecasting and facilitates uncertainty quantification through 100 Monte Carlo realizations. Probabilistic results confirm the project's technical and economic feasibility, with a total CO 2 storage capacity of approximately 16.1 million tons. Long‐term simulations extending to the year 2300 demonstrate stable CO 2 plume migration and effective geological containment, confirming the viability of the proposed co‐optimization strategy for oilfields approaching late‐stage production.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.1111/jpg.70113first seen 2026-08-18 05:23:47
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