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石油増進回収向け燃焼後炭素回収の統合技術経済最適化：オマーン・ドゥリマ油田への適用

Integrated Techno-Economic Optimization of Post-Combustion Carbon Capture for Enhanced Oil Recovery: Application to the Dhulima Field, Oman (原題)

F. M. Al Hajri, M. A. Al Mahruqi

Abu Dhabi International Petroleum Exhibition & Conference (ADIPEC)ジャーナル2026-11-02#CCUSOrigin: Global経営インパクト: コスト削減対象セクター: power
DOI: 10.2118/236288-ms
原典: https://doi.org/10.2118/236288-ms

🤖 gxceed AI 要約

日本語

本研究は、オマーン・ドゥリマ油田の排ガスを対象に、燃焼後CO2回収システムの運転条件と吸収塔・再生塔・圧縮設備の物理設計を同時最適化する統合フレームワークを構築した。SAFT-VRとeNRTLの熱力学モデルをPythonで実装しUniSimと相互検証、回収・圧縮の平準化コスト（LCCC）を最小化する。高温高塩分環境向けの耐食材料を考慮したCAPEX推計を含み、CO2-EORの収益ギャップ縮小とオマーン国家CCUSロードマップへの意思決定支援を狙う。

English

This study builds an integrated optimization framework that co-optimizes operating parameters and the physical design of absorber, stripper, and compression train for post-combustion CO2 capture at Oman's Dhulima field. Using SAFT-VR and eNRTL thermodynamics in Python cross-validated against UniSim, it minimizes the Levelized Cost of CO2 Capture and Compression (LCCC). CAPEX is estimated with corrosion-resistant materials suited to high-salinity, high-ambient-temperature conditions, aiming to narrow the CO2-EOR profitability gap and support Oman's national CCUS roadmap.

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GX推進戦略・エネルギー基本計画の中核技術であり、本論文のLCCC最小化と物理設計同時最適化の手法は、国内製油所・火力発電所への回収設備導入検討や炭素価格下での投資判断に応用可能な参考事例となる。

In the global GX context

As CCUS becomes central to net-zero roadmaps and transition finance under ISSB/TCFD-aligned disclosure, this paper's physics-based LCCC optimization offers a transparent cost reference for CO2-avoided costs, useful for corporate capex justification and national CCUS strategy design beyond the Gulf context.

👥 読者別の含意

🔬研究者:統合最適化と熱力学モデルを組み合わせたCCUSコスト評価手法の実証例として参照できる。

🏢実務担当者:回収設備の設計・運転条件の同時最適化がLCCC低減に効くことを投資検討に活用できる。

🏛政策担当者:国家CCUSロードマップ策定やCO2回避コストの透明な参照値として政策設計に役立つ。

📄 Abstract（原文）

Abstract The Sultanate of Oman faces a critical imperative to reconcile continued industrialization with its 2050 net-zero commitment. Carbon Capture, Utilization, and Storage (CCUS) is recognized as a cornerstone for abating industrial emissions, yet widespread deployment is hindered by the substantial energy penalty and capital intensity of the capture and compression train, which typically accounts for approximately 80% of the total CCUS value-chain cost. Current literature often relies on decoupled, stepwise economic models and regression-based surrogates that fail to capture the non-linear cost scaling inherent in physical design variation. This study develops an integrated, simultaneous optimization framework that bridges high-fidelity process physics and economic reality. Using the Statistical Associating Fluid Theory (SAFT-VR) and electrolyte-NRTL (eNRTL) thermodynamic frameworks within Python, cross-validated against UniSim Design, the work simulates a rate-based post-combustion capture system tailored to the flue gas duty of the Dhulima field within the Lekhwair cluster. Unlike traditional models that fix absorber geometry a priori, the proposed monolithic architecture co-optimizes operational parameters solvent loading, stripper feed configuration, and flue-gas bypass together with the physical design of the absorber, stripper, and compression train to minimize the Levelized Cost of CO2 Capture and Compression (LCCC). Capital expenditure is estimated through a standardized factorization method adapted for the high-salinity, high-ambient-temperature conditions of Omani coastal industrial zones through the specification of corrosion-resistant materials. Process-intensification configurations reported in the literature for high-CO2-content flue gases including stripper split feed and lean-vapor compression are screened as candidate architectures for the Dhulima case. The resulting framework is intended to narrow the profitability gap for CO2-Enhanced Oil Recovery (CO2-EOR) applications and to provide Petroleum Development Oman (PDO) and the Ministry of Energy and Minerals with a transparent, physics-based reference for CO2-avoided costs and a decision-support tool for Oman's national CCUS roadmap.

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