International Journal of Greenhouse Gas Control最新文献_第2页

Unified deep-learning workflow for uncertainty reduction in subsurface carbon storage modeling through data assimilation of seismic-inverted CO2 maps 统一深度学习工作流程，通过地震反演CO2图的数据同化降低地下碳储量建模的不确定性

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2026-01-22 DOI: 10.1016/j.ijggc.2026.104582

Moises Velasco-Lozano , Bailian Chen , Zhiwei Ma , Rajesh Pawar

Prediction of dynamic CO₂ saturation evolution in subsurface storage sites is critical to support carbon capture and storage deployment. Machine learning has gained important relevance to model CO₂ injection in real time, reducing the uncertainty through inverse modeling techniques. However, conventional models rely on monitoring data from a limited number of wells to update the initial reservoir realizations. In this work, we introduce a deep-learning workflow for the use of inverted CO₂ maps from seismic as an innovative data source for improved data assimilation.

We first built a deep-learning model (forward model engine) based on convolutional neural networks (CNN) and Fourier neural operators to predict CO₂ saturation from reservoir properties and operational conditions. Next, we applied a deep CNN model to invert seismic gathers into encoded and reconstructed CO₂ map responses. Finally, we developed a data assimilation module coupled with the forward model engine to reduce the uncertainty in the predicted CO₂ saturation using the geophysics-derived CO₂ maps from seismic gathers. To verify the applicability of our framework, we investigated the Frio-II storage site. The results obtained demonstrate the importance of assimilating inverted CO₂ maps, enabling a correct match of the spatial and temporal advance of the ground truth CO₂ plumes with discrepancies in the root mean square error less than 0.05. In addition, the calibrated permeability distributions resulted in maps very similar to the ground truth model. The work presented here describes a novel framework to generate more accurate data-driven estimations exploring the assimilation of inverted seismic information.

地下储存区二氧化碳饱和度的动态演化预测是支持碳捕集与封存部署的关键。机器学习在实时模拟二氧化碳注入方面具有重要意义，通过逆建模技术减少了不确定性。然而，传统模型依赖于有限数量井的监测数据来更新初始油藏认识。在这项工作中，我们引入了一种深度学习工作流程，将地震反演的二氧化碳图作为改进数据同化的创新数据源。首先，我们建立了一个基于卷积神经网络（CNN）和傅立叶神经算子的深度学习模型（前向模型引擎），根据储层性质和操作条件预测二氧化碳饱和度。接下来，我们应用深度CNN模型将地震聚集反演为编码和重建的CO2图响应。最后，我们开发了一个与正演模型引擎相结合的数据同化模块，以减少利用地震聚集的地球物理导出的二氧化碳图预测二氧化碳饱和度的不确定性。为了验证我们的框架的适用性，我们调查了Frio-II存储地点。得到的结果表明，同化倒排CO2图的重要性，使地面真实CO2羽流的时空推进得到正确匹配，差异均方根误差小于0.05。此外，校正后的渗透率分布结果与地面真值模型非常相似。本文介绍的工作描述了一种新的框架，用于生成更准确的数据驱动估计，探索反向地震信息的同化。

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引用次数: 0

Accelerated CCS site screening using Fourier Neural Operator based surrogates for flow simulations 使用基于傅立叶神经算子的流量模拟代理加速CCS站点筛选

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2026-01-21 DOI: 10.1016/j.ijggc.2026.104583

Suraj Pawar , Aniruddha Panda , Anirban Chandra , Pandu Devarakota , Faruk O. Alpak , Jeroen Snippe , Detlef Hohl

<div><div>One of the key elements for large scale deployment of carbon capture and storage (CCS) is the selection of appropriate sites to store the captured <span><math><msub><mrow><mtext>CO</mtext></mrow><mrow><mn>2</mn></mrow></msub></math></span>. To achieve this goal, various factors such as plume migration, storage capacity, and containment need to be validated over long-time horizons. Flow simulators, which accurately model the complex interplay of buoyancy, viscous, and capillary forces, are typically used for modeling plume migration, and thereby optimizing storage efficiency subject to subsurface constraints. However, large reservoirs and long-time horizons associated with CCS often render conventional flow simulators computationally expensive to apply. The computational efficiency challenge is further intensified for site screening applications in which typically large ensembles of forward simulations are necessary due to the uncertainty associated with subsurface variables. We develop a novel FNO-based surrogate modeling framework for the rapid prediction of plume-migration quantified by spatio-temporal evolution of <span><math><msub><mrow><mtext>CO</mtext></mrow><mrow><mn>2</mn></mrow></msub></math></span> accumulation and saturation fields. The FNO can approximate underlying physics such as multiphase/multicomponent reservoir simulation equations by using large, annotated datasets of input–output pairs. Finite-volume method based subsurface fluid flow simulation is used to generate a comprehensive dataset for a wide range of realistic subsurface parameters that are encountered in CCS sites globally. The outcome of the surrogate model is spatial distributions of <span><math><msub><mrow><mtext>CO</mtext></mrow><mrow><mn>2</mn></mrow></msub></math></span> accumulation and saturation for multiple time snapshots from end-of-injection to the end of a long-term migration period (1000 years post end-of-injection). To evaluate the performance of FNO-based surrogate models in the context of CCS site screening applications, we propose a range of novel physics-based metrics, such as plume distance to the injection location and normalized cumulative <span><math><msub><mrow><mtext>CO</mtext></mrow><mrow><mn>2</mn></mrow></msub></math></span> accumulation. The evaluation of the FNO-based model within probabilistic assessment workflow demonstrates that the statistics of different metrics is captured with high accuracy, including extreme cases. We also obtain <span><math><mrow><mi>O</mi><mrow><mo>(</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>3</mn></mrow></msup><mspace></mspace><mtext>to</mtext><mspace></mspace><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>4</mn></mrow></msup><mo>)</mo></mrow></mrow></math></span> computational acceleration when compared to numerical simulations used in this work, with minimal sacrifice of prediction accuracy for <span><math><msub><mrow><mtext>CO</mtext></mrow><mrow><mn>2</mn></mrow></msub></math></span>

大规模部署碳捕集与封存（CCS）的关键因素之一是选择合适的地点来储存捕获的二氧化碳。为了实现这一目标，需要在较长时间内验证羽流迁移、存储容量和遏制等各种因素。流动模拟器可以精确地模拟浮力、粘性和毛细力的复杂相互作用，通常用于模拟羽流迁移，从而在地下约束条件下优化储存效率。然而，与CCS相关的大型油藏和长地层往往使传统的流动模拟器在计算上昂贵。在现场筛选应用中，由于地下变量的不确定性，通常需要大量的正演模拟，这进一步加剧了计算效率的挑战。我们开发了一个新的基于fno的代理建模框架，用于通过CO2积累和饱和场的时空演变量化羽流迁移。FNO可以通过使用大型的、带注释的输入输出对数据集来近似底层物理，例如多相/多组分油藏模拟方程。基于有限体积方法的地下流体流动模拟用于生成一个全面的数据集，该数据集涵盖了全球CCS站点遇到的各种真实地下参数。代理模型的结果是从注入结束到长期迁移期结束（注入结束后1000年）的多个时间快照的CO2积累和饱和度的空间分布。为了评估基于fno的替代模型在CCS现场筛选应用中的性能，我们提出了一系列新的基于物理的指标，如到注入位置的烟羽距离和标准化的二氧化碳累积量。在概率评估工作流中对基于fno的模型的评估表明，不同度量的统计数据被高精度地捕获，包括极端情况。与本工作中使用的数值模拟相比，我们还获得了0 （103to104）的计算加速，并且以最小的代价牺牲了CO2积累和饱和度的预测精度。

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引用次数: 0

Assessment of prospective CO2 geological storage resources in the Taiwan Strait 台湾海峡未来二氧化碳地质储存资源评估

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2026-01-21 DOI: 10.1016/j.ijggc.2026.104578

Jianghui Li , Yanni Hou , Fengling Yu , Daolong Zhou , Hengnian Dong , Xiaokang Zhang

Geological storage of carbon dioxide (CO₂) is a viable option for achieving large-scale and cost-effective reduction in global CO₂ emissions. The Taixi Basin, spanning the Taiwan Strait, is a potential storage field for reducing CO₂ emissions in the Fujian and Taiwan regions. It hosts multiple effective reservoir-seal combinations, with abundant sandstone formations. These combinations divide the Taixi Basin into five dominant sags, namely the Taizhong Sag, Xinzhu Sag, Jiulongjiang Sag, Jinjiang Sag, and Chongwu Sag. However, the resource assessment of CO₂ storage in the Taixi Basin is typically conducted at the basin-scale, which makes it difficult to determine the resources of the target areas with optimal burial depths and superior reservoir conditions. This study estimates the prospective CO₂ storage resources for each sag of the Taixi Basin using DOE volumetric methods, both without and with considering the pressure limitations. This approach allows for a more in-depth and accurate characterization of regional storage resources. The results show that the theoretical storage resources of the Taixi Basin range between 16.3 Gt and 62.2 Gt, and the effective resources range between 5.03 Gt and 12.3 Gt. This not only provides a clear range of theoretical and effective storage resources but also serves as a guide for implementing real-world CO₂ storage projects.

地质储存二氧化碳（CO2）是实现大规模和经济有效地减少全球二氧化碳排放的可行选择。横跨台湾海峡的太西盆地是减少福建和台湾地区二氧化碳排放的潜在储存区。它拥有多种有效的储层密封组合，具有丰富的砂岩地层。这些组合将太西盆地划分为五大优势凹陷，即台中凹陷、新竹凹陷、九龙江凹陷、晋江凹陷和崇武凹陷。然而，太西盆地CO2储量资源评价通常是在盆地尺度上进行的，难以确定最佳埋藏深度和储层条件优越的目标区资源。在不考虑压力限制和考虑压力限制的情况下，采用DOE容积法对太西盆地各凹陷的未来CO2储量进行了估算。这种方法允许对区域存储资源进行更深入和准确的表征。结果表明，太西盆地理论库存量在16.3 ~ 62.2 Gt之间，有效库存量在5.03 ~ 12.3 Gt之间。这不仅为理论库存量和有效库存量提供了明确的范围，也为实际CO2库存量项目的实施提供了指导。

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引用次数: 0

Influence of thermodynamic conditions on techno-economics of megaton-scale carbon sequestration via carbon dioxide hydrates 热力学条件对二氧化碳水合物百万吨级固碳技术经济的影响

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2026-01-14 DOI: 10.1016/j.ijggc.2026.104569

Awan Bhati, Mark Hamalian, Vaibhav Bahadur

This study is motivated at the development of a novel approach for long-term carbon sequestration as CO₂ hydrates on the seabed (under marine sediments or with artificial sealing). Our approach involves rapid formation of CO₂ hydrate foam, followed by compaction, sealing and disposal of hydrates. Hydrate formation kinetics and the techno-economics depends strongly on the thermodynamic (pressure, temperature) conditions. This study integrates in-house experimental results with a techno-economic model to study the impact of thermodynamic conditions on key techno-economic parameters including sequestration rate, sequestration factor, energetics, scale, cost/ton and initial investment for megaton (MT) projects. Experiments are conducted over a wide pressure-temperature space to quantify formation kinetics and other key technical parameters. Results feed into a techno-economic modeling framework, with the objective of identifying conditions which yield high scale and low cost. Results show that the cost per ton of hydrate formation stays within 17% of the mean cost, over a range of conditions. However, the scale of the sequestration project significantly depends on the conditions; it varied from 3–9 MT/yr. We note that such scales will be typical of future CCS projects. Forming hydrates at close-to liquid CO₂ formation conditions favors sequestration, which is maximized at 9 Mton/yr. With the minimum cost for hydrate formation being 21 $/ton, the total cost for hydrates-based sequestration is between 21–31 $/ton. Importantly, all experiments were conducted with water with sodium chloride levels mimicking seawater. Overall, this study quantifies the costs and tradeoffs associated with scalable hydrate formation; and can enable optimization studies.

这项研究的动机是开发一种新的方法来长期封存二氧化碳，因为二氧化碳在海底（在海洋沉积物下或通过人工密封）水化。我们的方法包括快速形成二氧化碳水合物泡沫，然后压实、密封和处理水合物。水合物形成动力学和技术经济在很大程度上取决于热力学（压力、温度）条件。本研究将内部实验结果与技术经济模型相结合，研究热力学条件对兆吨级项目的关键技术经济参数的影响，包括封存速率、封存因子、能量学、规模、成本/吨和初始投资。实验在很宽的压力-温度空间内进行，以量化地层动力学和其他关键技术参数。结果将输入到技术经济建模框架中，目的是确定产生高规模和低成本的条件。结果表明，在一系列条件下，每吨水合物的成本保持在平均成本的17%以内。然而，封存项目的规模很大程度上取决于条件；从3-9吨/年不等。我们注意到，这种规模将是未来CCS项目的典型特征。在接近液态CO2形成条件下形成水合物有利于封存，在900万吨/年时封存量最大。水合物形成的最低成本为21美元/吨，基于水合物的封存的总成本在21 - 31美元/吨之间。重要的是，所有的实验都是在模拟海水的氯化钠水平的水中进行的。总的来说，本研究量化了与可扩展水合物形成相关的成本和权衡；并且可以进行优化研究。

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引用次数: 0

Can acceptance of location-specific carbon capture and storage be tipped? The causal effects of information and question framing 特定地点的碳捕获和储存能否被接受？信息和问题框架的因果效应

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2026-01-14 DOI: 10.1016/j.ijggc.2026.104566

Jacob Ladenburg, Matteo Zuch, Jiwon Kim

Today, Carbon Capture and Storage (CCS) is an emerging technology that remains relatively unknown to the public. Informing and educating lay people about the technology, including, e.g., technical processes, potential and associated risks, is essential for obtaining well-informed public opinions about the technology, its deployment, and choices between storage locations. Based on the stated acceptance of offshore, nearshore, rural onshore and urban onshore CCS from 3877–3879 respondents from a Danish national survey, we test how three information experiments and question framing (order) affect location-specific acceptance and relative cross location acceptance while controlling for CCS familiarity. We find significant effects from information about international CCS experience, Danish onshore underground gas storage experience and question order effects. The significance of the effects, though, varies with CCS location. The results also denote that information and question order effects significantly affect the relative acceptance of nearshore CCS, onshore rural and urban CCS, but not offshore CCS. Offshore CCS is always significantly more accepted than the other CCS locations. Finally, we find a significant positive correlation between CCS familiarity and accepting offshore, nearshore and rural CCS locations.

如今，碳捕获与封存（CCS）是一项新兴技术，公众对其知之甚少。向非专业人员提供有关技术的信息和教育，包括技术流程、潜在风险和相关风险，这对于获得有关该技术、其部署以及在存储地点之间选择的充分知情的公众意见至关重要。根据来自丹麦全国调查的3877-3879名受访者对海上、近岸、农村陆上和城市陆上CCS的接受程度，我们测试了三个信息实验和问题框架（顺序）如何影响特定地点接受程度和相对跨地点接受程度，同时控制CCS熟悉程度。我们从国际CCS经验、丹麦陆上地下储气库经验和问题顺序效应中发现了显著的影响。然而，影响的重要性因CCS的位置而异。结果还表明，信息和问题顺序效应显著影响近岸CCS、岸上农村和城市CCS的相对接受度，但对海上CCS没有影响。海上CCS总是比其他CCS地点更容易被接受。最后，我们发现CCS熟悉度与接受近海、近岸和农村CCS地点之间存在显著的正相关关系。

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引用次数: 0

Optimization of carbon capture, utilization, and storage supply chains for the hard-to-abate industry in Türkiye 优化碳捕集、利用和储存供应链，为难以减少的行业在<s:1> rkiye

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2026-01-14 DOI: 10.1016/j.ijggc.2026.104568

Sena Kumcu , Bahar Özyörük , Fabrizio Bezzo , Federico d'Amore

Carbon dioxide plays a central role in driving climate change. Carbon capture, utilization, and storage (CCUS) has emerged as a critical mitigation option, particularly for hard-to-abate industrial sectors. This study introduces an optimization framework to evaluate the technical and economic feasibility of establishing a large-scale CO₂ infrastructure for the iron and steel, cement, and refining industries in Türkiye. The framework, developed using a mixed-integer linear programming approach, seeks to minimize the overall system costs by integrating multiple capture technologies, transportation means, geological storage options, and the possibility of CO₂ utilization through electro-Methanol production. The results indicate that the most economically efficient solution is achieved under a scenario which combines rail and pipeline transportation, and geological storage within national borders. For a 10% carbon reduction target, the lowest specific CO₂ avoidance cost is 68.0 €/t, while for a 90% target, the cost rises to 110.2 €/t.

二氧化碳在推动气候变化方面起着核心作用。碳捕集、利用和封存（CCUS）已成为一个关键的减排选择，特别是对于难以减排的工业部门。本研究介绍了一个优化框架，以评估在泰国为钢铁、水泥和炼油行业建立大规模二氧化碳基础设施的技术和经济可行性。该框架采用混合整数线性规划方法开发，旨在通过整合多种捕获技术、运输手段、地质储存选择以及通过电甲醇生产利用二氧化碳的可能性，最大限度地降低整体系统成本。结果表明，最经济有效的解决方案是将铁路和管道运输结合起来，并在国家境内进行地质储存。对于10%的碳减排目标，最低的特定二氧化碳避免成本为68.0€/t，而对于90%的目标，成本上升到110.2€/t。

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引用次数: 0

CESAR1 solvent degradation in pilot and laboratory scale 中试和实验室规模下CESAR1溶剂降解研究

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2026-01-10 DOI: 10.1016/j.ijggc.2025.104560

Vanja Buvik , Andreas Grimstvedt , Kai Vernstad , Hanna K. Knuutila , Muhammad Zeeshan , Sundus Akhter , Karen K. Høisæter , Fred Rugenyi , Matthew Campbell

A sample of CESAR1 solvent, aqueous solution of 3 M 2-amino-2-methyl-propanol (AMP) and 1.5 M piperazine, which had been subjected to a series of test campaigns with industrial flue gases was analysed for identified degradation compounds with newly developed analytical techniques. A total of 35 degradation compounds were found in the solvent sample, whereof 14 have not previously been identified in CESAR1 from pilot-scale CO₂ capture operation. Three new major degradation compounds were found among the ten most abundant degradation species. By comparing the quantified solvent amines and degradation compounds with the total concentration of nitrogen in the sample, it was found that all major nitrogen containing degradation compounds are accounted for, and that the nitrogen containing species in the solvent have been identified and quantified within the analytical uncertainty. This contributes to closing one of the major knowledge gaps associated with CO₂ capture operations with the CESAR1 solvent, which is a target of the Horizon Europe project AURORA.

采用新开发的分析技术，对CESAR1溶剂、3 M 2-氨基-2-甲基丙醇（AMP）水溶液和1.5 M哌嗪样品进行了一系列工业烟气测试，以确定降解化合物。在溶剂样品中发现了35种降解化合物，其中14种以前没有在CESAR1中从中试规模的CO2捕获操作中鉴定出来。在10个最丰富的降解物种中发现了3个新的主要降解化合物。通过将定量的溶剂胺和降解化合物与样品中氮的总浓度进行比较，发现所有主要的含氮降解化合物都被考虑在内，并且溶剂中的含氮种类已经在分析不确定度内被识别和定量。这有助于缩小与CESAR1溶剂二氧化碳捕集作业相关的主要知识差距之一，这是地平线欧洲项目AURORA的目标。

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引用次数: 0

Geochemical framework for CO2 mineralization in coastal aquifers: Lessons from the Coda Terminal project, Iceland 沿海含水层二氧化碳矿化的地球化学框架：来自冰岛Coda终端项目的经验教训

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2026-01-01 DOI: 10.1016/j.ijggc.2025.104565

Iwona Galeczka , Martin Voigt , Daniel Andres Duque Carrillo , Kjartan Marteinsson , Thomas Ratouis , Sandra Ósk Snæbjörnsdóttr , Fríða Jónsdóttir , Paula Fernandez-Acosta , Gunnar Hrafn Gunnarsson , Bergur Sigfússon , Jóhann Gunnarsson Robin , Sif Pétursdóttir , Salka Kolbeinsdóttir , Magnús Á. Sigurgeirsson , Helga M. Helgadóttir , Gunnlaug Ásgeirsdóttir , Ólafur Elínarson

Freshwater scarcity can limit the scalability of subsurface CO₂ mineralization projects which rely on dissolving CO₂ in water before injection into basaltic reservoirs. While ongoing Carbfix projects primarily use freshwater or process water such as geothermal condensate to dissolve CO₂, in the Coda Terminal project, in Straumsvík, SW Iceland, it is proposed to use seawater due to its availability. The storage reservoir contains a mix of freshwater, brackish, and saline groundwater, with measured conductivities ranging from ∼100 to ∼40,000 μS/cm. Water chemistry of the brackish and saline water indicates extensive water-rock interaction with depletion of Na, K, B, and Mg, and strong enrichment in Ca - essential for calcite precipitation, the dominant carbonate mineral in low-temperature basalt alteration.

Dissolution experiments conducted on Straumsvík basalt show similar trace element mobility in both freshwater and seawater, with only Al, Fe, and Mn exceeding WHO drinking water limits, suggesting low risk of groundwater contamination. Reaction path modelling indicates that mineralization efficiency can reach 100% for both water types, and that mixing of CO₂-charged injection water with reservoir water does not significantly affect water chemical evolution or secondary mineral formation.

These results support the feasibility of using seawater for CO₂ storage in basaltic settings and high potential for CO₂ mineralization in Straumsvík. However, complex groundwater stratification and regulatory framework highlight the need for integrated hydrogeological, geochemical, and regulatory planning to ensure safe and effective implementation of large-scale CO₂ mineral storage at coastal sites.

在玄武岩储层注入前需先将二氧化碳溶解于水中的地下CO2矿化工程，其可扩展性受到淡水稀缺的限制。目前正在进行的Carbfix项目主要使用淡水或处理水（如地热凝析水）来溶解二氧化碳，但在冰岛西南部Straumsvík的Coda终端项目中，由于海水的可用性，建议使用海水。储层包含淡水、半咸水和咸水的混合，测量的电导率范围为~ 100 ~ ~ 40,000 μS/cm。微咸水和咸水的水化学表明，水岩之间存在着广泛的相互作用，Na、K、B和Mg的耗散以及Ca的强烈富集，这是低温玄武岩蚀变中主要的碳酸盐矿物方解石沉淀所必需的。Straumsvík玄武岩溶解实验显示，淡水和海水中微量元素迁移率相似，只有Al、Fe和Mn超过WHO饮用水限值，表明地下水污染风险较低。反应路径模拟表明，两种水类型的矿化效率均可达到100%，充二氧化碳注入水与储层水混合对水化学演化和次生矿物形成影响不显著。这些结果支持了利用海水在玄武岩环境中储存CO2的可行性和Straumsvík中CO2矿化的高潜力。然而，复杂的地下水分层和监管框架突出了综合水文地质、地球化学和监管规划的必要性，以确保在沿海地点安全有效地实施大规模二氧化碳矿物储存。

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引用次数: 0

Steady-state simulation of large-scale pipeline networks for CCUS applications CCUS应用的大型管网稳态模拟

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2026-01-01 DOI: 10.1016/j.ijggc.2026.104567

Andrzej J. Osiadacz, Maciej Chaczykowski, Łukasz Kotyński, Tomasz Bleschke, Ferdinand E. Uilhoorn

Carbon capture utilization and storage is crucial for reducing emissions from energy sources and industrial clusters with significant CO

_{2}

emissions. To ensure the appropriate sizing of the pipeline transport infrastructure, hydraulic modeling tools are used, which allow engineers to analyze and predict the performance of transmission systems under design conditions and to assess their efficiency and reliability. In this work we solve a single-phase steady-state, nonisothermal flow model with composition tracking that incorporates the GERG-2008 and Peng–Robinson equations of state using efficient Newton loop-node coupling. The solver enables evaluation of the deliverability of the pipeline system under varying CO₂ stream compositions. We considered pure CO

_{2}

and CO

_{2}

mixtures containing impurities obtained from pre-combustion and post-combustion carbon capture technologies. We investigated the influence of impurities, pipe inclination, and heat transfer between the CO

_{2}

-rich stream and its surroundings. The network model was solved using the Newton loop-node method coupled with the non-pipe element model in matrix notation. The model was benchmarked against a commercially available hydraulic modeling software package using data from a fictitious but plausible multi-source transmission system. The applicability of the model was demonstrated through a case study of a complex meshed network. The results indicated a good agreement between the software tools, but the proposed model showed a two orders of magnitude smaller computational burden. The model also showed superior insensitivity to the topology of the computed network in terms of computational complexity.

碳捕获、利用和封存对于减少二氧化碳排放量较大的能源和产业集群的排放至关重要。为了确保管道运输基础设施的适当规模，使用了水力建模工具，这使工程师能够分析和预测设计条件下传输系统的性能，并评估其效率和可靠性。在这项工作中，我们求解了一个单相稳态非等温流动模型，该模型采用有效的牛顿环节点耦合，结合了geg -2008和Peng-Robinson状态方程。求解器可以在不同的CO2流组成下评估管道系统的输送能力。我们考虑了纯二氧化碳和含有杂质的二氧化碳混合物，这些杂质来自燃烧前和燃烧后的碳捕获技术。我们研究了杂质、管道倾斜和富二氧化碳流与周围环境之间的传热的影响。采用牛顿环节点法结合矩阵表示的非管单元模型对网络模型进行求解。该模型与商业上可用的水力建模软件包进行了基准测试，使用的数据来自一个虚构但可信的多源传输系统。通过一个复杂网格网络的算例，验证了该模型的适用性。结果表明，软件工具之间的一致性很好，但所提出的模型显示出较小的两个数量级的计算负担。在计算复杂度方面，该模型对计算网络的拓扑结构不敏感。

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引用次数: 0

Reassessing historical gas occurrences considering CO2 geological storage, a case study of the Cuiabá Paulista occurrence, Brazil 以巴西cuiab<e:1> Paulista产层为例，重新评估考虑二氧化碳地质储存的历史天然气产层

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2026-01-01 DOI: 10.1016/j.ijggc.2025.104557

Vitória Cruz Paluri Piedade , Saulo B. de Oliveira , Carlos Henrique Tozzi de Oliveira

The Carbon Capture and Storage (CCS) technology encompasses integrated processes to prevent carbon dioxide (CO₂) emissions from reaching the atmosphere, including storage in deep geological formations. This technology supports international carbon reduction objectives, such as those established by the Paris Agreement. This study focuses on the Cuiabá Paulista natural gas occurrence, chosen for its proximity to one of Brazil's largest concentrations of CO₂ stationary emitters and its favorable geological attributes, which present future opportunities combining gas exploitation with CO₂ storage, besides tight gas potential, reassessing the historical gas occurrence that was previously considered subeconomic. This research aims to evaluate key geological parameters for CO₂ storage and to develop a 3D stratigraphic model based on lithological and petrophysical data from drilling wells, emphasizing the subdivision of formations into electrofacies to identify reservoirs with the potential for CO₂ storage. The analysis reveals that saline aquifer storage is a potential geological option, with a theoretical capacity of approximately 930 Mt of CO₂. The key findings demonstrate that integrating geological, petrophysical, and reservoir data enables a robust reassessment of the Cuiabá Paulista gas occurrence as a potential CO₂ storage site, which implicates the broader applicability of an electrofacies-based capacity evaluation within a methodological workflow that can be replicated for other historical gas occurrences with limited data availability. The identified reservoir could function as a CO₂ sink not only for the local emitters but also as a regional hub, contributing to emission reduction efforts in the Southeast region of Brazil.

碳捕集与封存（CCS）技术包括防止二氧化碳排放进入大气的综合过程，包括在深层地质构造中封存。这项技术支持国际碳减排目标，例如《巴黎协定》确立的目标。这项研究的重点是cuiab Paulista天然气产层，选择该产层的原因是其靠近巴西最大的二氧化碳固定排放者之一，并且具有有利的地质属性，除了致密气潜力之外，还为天然气开采和二氧化碳储存提供了未来的机会，从而重新评估了以前被认为是亚经济的历史天然气产层。该研究旨在评估二氧化碳储存的关键地质参数，并基于钻井的岩性和岩石物理数据建立三维地层模型，强调将地层细分为电相，以识别具有二氧化碳储存潜力的储层。分析表明，盐碱层储存是一个潜在的地质选择，其理论容量约为9.3亿吨二氧化碳。主要研究结果表明，综合地质、岩石物理和储层数据，可以对cuiab Paulista天然气产层作为潜在的CO₂储存地点进行强有力的重新评估，这意味着在方法工作流程中，基于电相的容量评估具有更广泛的适用性，可以在数据可用性有限的情况下复制到其他历史天然气产层。确定的水库不仅可以作为当地排放者的二氧化碳汇，还可以作为区域中心，为巴西东南部地区的减排工作做出贡献。

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