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Multiscale PDE Modeling Of CO₂ Injection And Storage In The Niger Delta Basin: Integrating Geochemical Reactions And Probabilistic Risk Assessment

ナイジェリア・ニジェールデルタ堆積盆地におけるCO₂圧入・貯留のマルチスケールPDEモデリング:地球化学反応と確率論的リスク評価の統合 (AI 翻訳)

Akpevwe T. Erhieyovwe, Arobo R. C. Amakiri, Jiriwari Amonieah

IOSR Journal of Applied Geology and Geophysic📚 査読済 / ジャーナル2026-02-01#CCUS経営インパクト: 資金調達対象セクター: oil_gas
DOI: 10.9790/0990-1402017383
原典: https://doi.org/10.9790/0990-1402017383
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🤖 gxceed AI 要約

日本語

ニジェールデルタのAgbada層におけるCO₂貯留ポテンシャルを、圧力制限圧入戦略の下で評価。貯留層-反応性輸送モデルを構築し、グリッド収束・ヒストリーマッチング・地球化学的検証を実施。高浸透率経路がCO₂プルーム移動を支配し、断層F12で漏洩リスクが安全閾値を15%超過することを特定。モニタリング・報告・検証(MRV)プログラムの重要性を強調。

English

This study evaluates CO₂ storage potential in the Agbada Formation (Niger Delta) under pressure-limited injection using a reservoir-reactive transport model. High-permeability corridors strongly influence plume migration, and a fault-localized leakage hotspot (F12) exceeds safety thresholds by ~15%. Sensitivity analysis identifies permeability as the dominant control. The work underscores the need for MRV programs and cautious multi-well design.

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

日本でもCCSはカーボンニュートラル達成の鍵技術であり、本論文の圧力管理戦略や断層漏洩リスク評価手法は、日本の洋野CCSプロジェクト(例えば苫小牧CCS)の設計・モニタリングに示唆を与える。

In the global GX context

As CCUS gains momentum globally for hard-to-abate sectors, this paper provides a rigorous modeling framework for CO₂ storage assessment, including fault leakage risk and MRV implications. It is directly relevant to ISSB and TCFD-aligned disclosure on climate risk mitigation strategies.

👥 読者別の含意

🔬研究者:Provides a validated reactive transport model and sensitivity analysis methodology applicable to other sedimentary basins.

🏢実務担当者:Highlights fault-specific leakage risks and MRV priorities for CCS project operators and investors.

🏛政策担当者:Demonstrates the importance of pressure management and monitoring in CCS regulation and permitting.

📄 Abstract(原文)

Climate change continues to pose a critical global challenge, making carbon capture and storage (CCS) technologies central to efforts aimed at reducing anthropogenic CO₂ emissions. Among the most promising options is the use of deep geological formations in the subsurface as long-term storage reservoirs. This study provides a comprehensive appraisal of the CO₂ storage potential of the Agbada Formation (Central Swamp II, Niger Delta) under a pressure-limited injection strategy. A reservoir–reactive transport model, based on Darcy flow and advection–dispersion–reaction processes, was constructed and refined through grid convergence (Δx ≈ 10 m). The model was history-matched to Agbada pressure transients with good accuracy (RMS ≈ 3.4%) and validated geochemically against PHREEQC simulations, yielding mineral-volume deviations within 5%. To account for variability and reduce uncertainty, large ensembles (10³–10⁴ members) were employed, and global sensitivity analysis was conducted using standardized regression coefficients. In parallel, structural leakage likelihood was evaluated through fault-mapped simulations. The results indicate that CO₂ plume migration is strongly influenced by the presence of high-permeability corridors, while shale barriers effectively inhibit vertical communication. Maximum areal storage capacity is attained at depths around ~1,600 m, reaching ~5.56 Mt CO₂ km⁻². Sensitivity analysis reveals that permeability is the dominant control on plume radius (SRC ≈ 0.72), with nonlinear behavior becoming significant at values below ~50 mD. Importantly, a fault-localized leakage hotspot (F12) was identified, with simulated leakage rates exceeding the safety threshold by ~15%. The study underscores the importance of pressure-managed injection strategies and cautions against the assumption of linear superposition in multi-well storage projects. It further highlights the critical role of Monitoring, Reporting, and Verification (MRV) programs, particularly those focused on fault zones such as F12 and migration corridors where leakage risks are elevated. Future research directions should prioritize the integration of two-phase trapping mechanisms with hysteresis and gravity effects, the adoption of real-gas equations of state, and the inclusion of coupled porosity–permeability (k–ϕ) feedback to improve model fidelity. In addition, improved characterization of low-permeability corridors, step-rate injection tests, and interference-aware wellpattern design are recommended to optimize storage performance and reduce risks.

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