International Journal of Greenhouse Gas Control最新文献_第10页

Invertible Neural Networks based petrophysical inversion for carbon sequestration projects 基于可逆神经网络的固碳项目岩石物理反演

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2025-09-24 DOI: 10.1016/j.ijggc.2025.104460

Arnab Dhara, Sohini Dasgupta, Mrinal K. Sen

Time-lapse seismic data has shown great promise in accurate monitoring of CO₂ injection sites. There are many sources of uncertainty in derived rock porosity and CO₂ saturation from time lapse seismic data. Variability in noise during data acquisition and noise inherent in seismic data can degrade signal quality and contribute to uncertainty in derived saturation estimates. The process of deriving saturation estimates involves solving an ill-posed, non-unique and highly non-linear seismic petrophysical inversion. Deep learning, particularly utilizing convolutional neural networks (CNNs), has demonstrated potential in addressing such complex and nonlinear seismic inversion challenges. Neural networks frequently find it challenging to offer reliable uncertainty estimates similar to those achieved with Markov Chain Monte Carlo (MCMC) techniques which are widely recognized for their statistical rigor in solving inverse problems. However, MCMC techniques are computationally expensive due to the need for repeated forward model evaluations to adequately sample the posterior distribution. To address this issue, we investigate the use of Invertible Neural Networks (INNs) to predict the full posterior distribution of porosity and CO₂ saturation directly from time lapse data and capture the related uncertainty. INNs provide bijective mapping between data (input) and models (output) and uses a latent vector sampled from a Gaussian distribution to model the uncertainty. Our proposed approach is validated using two seismic vintages and well-logs from the Cranfield reservoir.

延时地震数据在精确监测二氧化碳注入点方面显示出巨大的前景。从时移地震数据中导出的岩石孔隙度和CO2饱和度存在许多不确定性来源。数据采集过程中的噪声变异性和地震数据中固有的噪声会降低信号质量，并导致导出的饱和度估计的不确定性。导出饱和度估计的过程涉及求解不适定、非唯一和高度非线性的地震岩石物理反演。深度学习，特别是利用卷积神经网络（cnn），在解决这些复杂和非线性的地震反演挑战方面已经显示出潜力。神经网络经常发现提供可靠的不确定性估计具有挑战性，类似于用马尔可夫链蒙特卡罗（MCMC）技术实现的不确定性估计，MCMC技术因其在解决反问题方面的统计严谨性而得到广泛认可。然而，MCMC技术的计算成本很高，因为需要重复的正演模型评估来充分采样后验分布。为了解决这个问题，我们研究了使用可逆神经网络（INNs）直接从时间推移数据中预测孔隙度和二氧化碳饱和度的完整后验分布，并捕获相关的不确定性。INNs提供数据（输入）和模型（输出）之间的双向映射，并使用从高斯分布中采样的潜在向量来建模不确定性。我们提出的方法通过两个地震年份和Cranfield油藏的测井进行了验证。

{"title":"Invertible Neural Networks based petrophysical inversion for carbon sequestration projects","authors":"Arnab Dhara, Sohini Dasgupta, Mrinal K. Sen","doi":"10.1016/j.ijggc.2025.104460","DOIUrl":"10.1016/j.ijggc.2025.104460","url":null,"abstract":"<div><div>Time-lapse seismic data has shown great promise in accurate monitoring of CO<sub>2</sub> injection sites. There are many sources of uncertainty in derived rock porosity and CO<sub>2</sub> saturation from time lapse seismic data. Variability in noise during data acquisition and noise inherent in seismic data can degrade signal quality and contribute to uncertainty in derived saturation estimates. The process of deriving saturation estimates involves solving an ill-posed, non-unique and highly non-linear seismic petrophysical inversion. Deep learning, particularly utilizing convolutional neural networks (CNNs), has demonstrated potential in addressing such complex and nonlinear seismic inversion challenges. Neural networks frequently find it challenging to offer reliable uncertainty estimates similar to those achieved with Markov Chain Monte Carlo (MCMC) techniques which are widely recognized for their statistical rigor in solving inverse problems. However, MCMC techniques are computationally expensive due to the need for repeated forward model evaluations to adequately sample the posterior distribution. To address this issue, we investigate the use of Invertible Neural Networks (INNs) to predict the full posterior distribution of porosity and CO<sub>2</sub> saturation directly from time lapse data and capture the related uncertainty. INNs provide bijective mapping between data (input) and models (output) and uses a latent vector sampled from a Gaussian distribution to model the uncertainty. Our proposed approach is validated using two seismic vintages and well-logs from the Cranfield reservoir.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"147 ","pages":"Article 104460"},"PeriodicalIF":5.2,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145156257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The financial implications of injectivity risk in compartmentalized storage formations for geologic carbon sequestration 地质碳封存区隔储层注入风险的财务影响

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2025-09-20 DOI: 10.1016/j.ijggc.2025.104463

Christopher Deranian , Sahar Bakhshian , Susan D. Hovorka

Maintaining injectivity over the planned duration is a major driver of risk in CO

_{2}

storage projects. Current insurance considerations are largely focused on leakage and well remediation, while operational issues from past carbon storage projects have shown injectivity issues due to unanticipated formation compartmentalization is a real risk. The financial penalty due to the disruption of injection operations is large for a site operator. This study explores the effect of storage compartment size and geologic boundary condition on injectivity, and the subsequent financial implications. Risk profiles of injectivity are generated through reservoir simulations constrained by statistics from a CO

_{2}

storage prospect on the Gulf Coast. A financial tool is built to understand the impact on project value when an injectivity issue occurs and an offset well needs to be drilled. We observe that even in relatively closed boundary conditions, pressure arising from the CO

_{2}

injection can dissipate in the formation to allow injection over the project life. The economic feasibility of a storage project that does face an injectivity issue depends on the year of the injection issue occurrence. This study helps understand the injectivity risk, project contingency, and the financial feasibility of mitigation options required to establish robust assurance against this risk.

在计划持续时间内保持注入能力是二氧化碳封存项目风险的主要驱动因素。目前的保险主要集中在泄漏和油井修复上，而过去碳储存项目的运营问题表明，由于意外的地层分隔导致的注入性问题是真正的风险。对于现场作业者来说，由于注入作业中断而造成的经济损失是巨大的。本研究探讨了储层尺寸和地质边界条件对注入能力的影响，以及随后的经济影响。注入风险概况是通过油藏模拟得出的，受墨西哥湾沿岸二氧化碳封存前景统计数据的约束。当发生注入问题，需要钻一口邻井时，建立了一个财务工具来了解对项目价值的影响。我们观察到，即使在相对封闭的边界条件下，二氧化碳注入产生的压力也会在地层中消散，从而在整个项目生命周期内允许注入。面临注入问题的储能项目的经济可行性取决于注入问题发生的年份。本研究有助于了解注入性风险、项目偶然性以及建立针对该风险的可靠保证所需的缓解方案的财务可行性。

{"title":"The financial implications of injectivity risk in compartmentalized storage formations for geologic carbon sequestration","authors":"Christopher Deranian , Sahar Bakhshian , Susan D. Hovorka","doi":"10.1016/j.ijggc.2025.104463","DOIUrl":"10.1016/j.ijggc.2025.104463","url":null,"abstract":"<div><div>Maintaining injectivity over the planned duration is a major driver of risk in CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> storage projects. Current insurance considerations are largely focused on leakage and well remediation, while operational issues from past carbon storage projects have shown injectivity issues due to unanticipated formation compartmentalization is a real risk. The financial penalty due to the disruption of injection operations is large for a site operator. This study explores the effect of storage compartment size and geologic boundary condition on injectivity, and the subsequent financial implications. Risk profiles of injectivity are generated through reservoir simulations constrained by statistics from a CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> storage prospect on the Gulf Coast. A financial tool is built to understand the impact on project value when an injectivity issue occurs and an offset well needs to be drilled. We observe that even in relatively closed boundary conditions, pressure arising from the CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> injection can dissipate in the formation to allow injection over the project life. The economic feasibility of a storage project that does face an injectivity issue depends on the year of the injection issue occurrence. This study helps understand the injectivity risk, project contingency, and the financial feasibility of mitigation options required to establish robust assurance against this risk.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"147 ","pages":"Article 104463"},"PeriodicalIF":5.2,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

De-risking overburden and caprocks for CO2 storage using machine-learning seismic fault attributes 利用机器学习地震断层属性降低二氧化碳储存覆盖层和盖层的风险

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2025-09-18 DOI: 10.1016/j.ijggc.2025.104471

Julián L. Gómez , Ane Elisabet Lothe

Fault and fracture geometries, densities, and distributions play a critical role in assessing and mitigating risks associated with potential CO₂ storage sites in sedimentary basins, particularly saline aquifers. To enhance fault detection in 3D seismic data, we have developed, trained, and deployed a lightweight machine learning segmentation algorithm. This deep learning model, trained on synthetic seismic data, generates fault scores—pixel-scale classifications ranging from 0 to 1—where higher values indicate a greater likelihood of structural discontinuities. These fault scores are used to derive a fault density attribute, which summarizes the expected fault network distribution along seismic sections. Our workflow is computationally efficient and provides interpreters with valuable insight into the lateral and vertical distribution of faults. We apply this methodology to a 3D seismic survey of the Smeaheia area, Norway, covering the N-S trending Vette Fault and sections of the Øygarden Fault Complex (ØFC). Fault mapping was conducted at the reservoir level, as well as in the caprock and overburden. The detected fault patterns at the top of the Draupne Formation, the presumed caprock unit in the region, and fault pattern at the Top Cromer Knoll Group, align well with manual interpretations. Additionally, in the footwall of the deep-crustal ØFC, we identify faults extending to the seafloor, suggesting that a non-negligible fault density may be present within the caprock. Our results are compared with 3D variance and 3D semblance seismic attributes, further validating the efficacy of our approach.

断层和裂缝的几何形状、密度和分布在评估和减轻沉积盆地（特别是含盐含水层）潜在CO 2储存地点相关风险方面发挥着关键作用。为了增强三维地震数据的故障检测，我们开发、训练并部署了一种轻量级的机器学习分割算法。这种深度学习模型在合成地震数据上进行训练，生成断层评分——像素级分类，范围从0到1，其中越高的值表明结构不连续的可能性越大。这些断层分数用于导出断层密度属性，该属性总结了沿地震剖面的预期断层网分布。我们的工作流程计算效率高，为解释人员提供了对断层横向和垂直分布的宝贵见解。我们将这种方法应用到挪威Smeaheia地区的三维地震调查中，该地区覆盖了N-S走向的Vette断层和Øygarden断层复合体的部分（ØFC）。在储层以及盖层和上覆层进行了断层测绘。探测到的Draupne组（该地区假定的盖层单元）顶部的断层模式和top Cromer Knoll组的断层模式与人工解释的结果吻合得很好。此外，在深部地壳ØFC下盘，我们发现了延伸到海底的断层，这表明盖层内可能存在不可忽略的断层密度。我们的结果与三维方差和三维相似地震属性进行了比较，进一步验证了我们方法的有效性。

{"title":"De-risking overburden and caprocks for CO2 storage using machine-learning seismic fault attributes","authors":"Julián L. Gómez , Ane Elisabet Lothe","doi":"10.1016/j.ijggc.2025.104471","DOIUrl":"10.1016/j.ijggc.2025.104471","url":null,"abstract":"<div><div>Fault and fracture geometries, densities, and distributions play a critical role in assessing and mitigating risks associated with potential CO₂ storage sites in sedimentary basins, particularly saline aquifers. To enhance fault detection in 3D seismic data, we have developed, trained, and deployed a lightweight machine learning segmentation algorithm. This deep learning model, trained on synthetic seismic data, generates fault scores—pixel-scale classifications ranging from 0 to 1—where higher values indicate a greater likelihood of structural discontinuities. These fault scores are used to derive a fault density attribute, which summarizes the expected fault network distribution along seismic sections. Our workflow is computationally efficient and provides interpreters with valuable insight into the lateral and vertical distribution of faults. We apply this methodology to a 3D seismic survey of the Smeaheia area, Norway, covering the N-S trending Vette Fault and sections of the Øygarden Fault Complex (ØFC). Fault mapping was conducted at the reservoir level, as well as in the caprock and overburden. The detected fault patterns at the top of the Draupne Formation, the presumed caprock unit in the region, and fault pattern at the Top Cromer Knoll Group, align well with manual interpretations. Additionally, in the footwall of the deep-crustal ØFC, we identify faults extending to the seafloor, suggesting that a non-negligible fault density may be present within the caprock. Our results are compared with 3D variance and 3D semblance seismic attributes, further validating the efficacy of our approach.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"147 ","pages":"Article 104471"},"PeriodicalIF":5.2,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep learning-assisted THM-integrated InSAR modeling for CO2 storage characterization and surface deformation forecasting 深度学习辅助thm集成InSAR模型CO2储存表征和地表变形预测

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2025-09-16 DOI: 10.1016/j.ijggc.2025.104461

Eunsil Park, Hyunmin Kim, Hyundon Shin, Honggeun Jo

Accurate characterization of subsurface reservoirs in geological carbon storage (GCS) is essential for ensuring long-term storage security and mitigating leakage risks. This study proposes a novel CO₂ reservoir characterization framework that integrates InSAR-based surface deformation data with a deep learning-based method (pix2pix) to predict subsurface properties, such as rock facies and porosity. To assess the surface deformation before and after CO₂ injection, a THM (thermal-hydrological-mechanical) simulation is employed, and their corresponding results are used as input for the suggested pix2pix-based model. To reveal the robustness of the suggested workflow, sensitivity analysis is conducted by varying signal-to-noise ratio (SNR) of InSAR data and observation time periods, assessing their impact on characterization performance. Furthermore, the model is applied for long-term CO₂ plume and surface deformation predictions, enabling uncertainty quantification of future behavior.

The results show that early-stage observation data provide rich subsurface information but are highly sensitive to noise, whereas later observations exhibit greater tolerance to noise but reduced information content. The suggested workflow effectively predicts long-term CO₂ plume migration and surface deformation trends, demonstrating its applicability for reservoir monitoring. This study demonstrates that integrating InSAR-based surface deformation data with deep learning significantly improves CO₂ reservoir characterization. The findings highlight the importance of optimizing InSAR acquisition frequency and noise-handling strategies to enhance monitoring accuracy. The proposed approach provides a foundation for developing time-series-based reservoir characterization models using surface deformation data.

地质储碳地下储层的准确表征是确保储碳长期安全、降低泄漏风险的关键。该研究提出了一种新的CO₂储层表征框架，该框架将基于insar的地表变形数据与基于深度学习的方法（pix2pix）相结合，以预测地下性质，如岩石相和孔隙度。为了评估CO2注入前后的地表变形，采用了THM（热-水文-力学）模拟，并将其相应结果作为建议的基于pix2pixel的模型的输入。为了揭示所建议工作流程的鲁棒性，通过改变InSAR数据的信噪比（SNR）和观测时间段进行敏感性分析，评估其对表征性能的影响。此外，该模型还用于长期CO₂羽流和地表变形预测，使未来行为的不确定性量化成为可能。结果表明，早期观测数据提供了丰富的地下信息，但对噪声高度敏感，而后期观测数据对噪声的容忍度更高，但信息含量降低。该工作流程有效预测了CO₂羽流的长期迁移和地表变形趋势，证明了其在油藏监测中的适用性。该研究表明，将基于insar的地表变形数据与深度学习相结合，可以显著改善CO₂储层的表征。研究结果强调了优化InSAR采集频率和噪声处理策略以提高监测精度的重要性。该方法为利用地表变形数据开发基于时间序列的储层表征模型提供了基础。

{"title":"Deep learning-assisted THM-integrated InSAR modeling for CO2 storage characterization and surface deformation forecasting","authors":"Eunsil Park, Hyunmin Kim, Hyundon Shin, Honggeun Jo","doi":"10.1016/j.ijggc.2025.104461","DOIUrl":"10.1016/j.ijggc.2025.104461","url":null,"abstract":"<div><div>Accurate characterization of subsurface reservoirs in geological carbon storage (GCS) is essential for ensuring long-term storage security and mitigating leakage risks. This study proposes a novel CO₂ reservoir characterization framework that integrates InSAR-based surface deformation data with a deep learning-based method (pix2pix) to predict subsurface properties, such as rock facies and porosity. To assess the surface deformation before and after CO<sub>2</sub> injection, a THM (thermal-hydrological-mechanical) simulation is employed, and their corresponding results are used as input for the suggested pix2pix-based model. To reveal the robustness of the suggested workflow, sensitivity analysis is conducted by varying signal-to-noise ratio (SNR) of InSAR data and observation time periods, assessing their impact on characterization performance. Furthermore, the model is applied for long-term CO₂ plume and surface deformation predictions, enabling uncertainty quantification of future behavior.</div><div>The results show that early-stage observation data provide rich subsurface information but are highly sensitive to noise, whereas later observations exhibit greater tolerance to noise but reduced information content. The suggested workflow effectively predicts long-term CO₂ plume migration and surface deformation trends, demonstrating its applicability for reservoir monitoring. This study demonstrates that integrating InSAR-based surface deformation data with deep learning significantly improves CO₂ reservoir characterization. The findings highlight the importance of optimizing InSAR acquisition frequency and noise-handling strategies to enhance monitoring accuracy. The proposed approach provides a foundation for developing time-series-based reservoir characterization models using surface deformation data.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"147 ","pages":"Article 104461"},"PeriodicalIF":5.2,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Feasibility study on large-scale geologic carbon sequestration in Southern Colorado 南科罗拉多州大规模地质固碳可行性研究

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2025-09-16 DOI: 10.1016/j.ijggc.2025.104462

Yanrui Ning , Ali Tura , David Herman , Jay Bridgeman , Dana Clark

This study evaluates the feasibility of storing over 50 million metric tons of CO₂ within a 30-year period in southern Colorado. The target for injection is the 7000 ft (2134 m)-deep Lyons saline aquifer formation, with the overlying alternating layers of anhydrite and shale serving as seals. Geological static models were constructed using seismic, well log and core data, followed by fluid flow modeling to understand the CO₂ injection strategy, saturation distribution and plume size. The results indicate that approximately 60 million metric tons of CO₂ can be injected with 2 wells into the formation over 30 years, with 85 % of the CO₂ existing in a supercritical phase during the injection stage. After 70 years of shut-in, about 30 % of the injected CO₂ becomes immobilized due to hysteresis. Seismic data shows no faulting within the injection and seal formations, and no legacy wells penetrate the Lyons formation within the study area, which reduces the risks of fault slippage and leakage through legacy wells. However, the small dip angle of the structure may present challenges to CO₂ plume containment, highlighting the importance of implementing strategies such as enhanced monitoring systems, detailed geomechanical modeling, and plume migration simulations to mitigate and better understand potential risks. This study offers early insights into CCUS potential in southern Colorado using seismic and limited data, and will ultimately provide valuable guidance for future implementation of CO₂ injection in the region.

这项研究评估了在科罗拉多州南部30年内储存超过5000万公吨二氧化碳的可行性。注入目标是7000英尺（2134米）深的Lyons咸水含水层，其上的硬石膏和页岩交替层起到密封作用。利用地震、测井和岩心数据建立了地质静态模型，然后建立了流体流动模型，以了解CO2注入策略、饱和度分布和羽流大小。结果表明，在30年的时间里，两口井可以向地层注入约6000万吨二氧化碳，其中85%的二氧化碳在注入阶段存在于超临界阶段。经过70年的关井后，大约30%的注入二氧化碳由于迟滞而固定。地震数据显示，在注入层和密封层内没有断层，研究区内没有遗留井穿透Lyons地层，这降低了遗留井断层滑动和泄漏的风险。然而，结构的小倾角可能会给CO2羽流控制带来挑战，这凸显了实施诸如增强监测系统、详细的地质力学建模和羽流迁移模拟等策略的重要性，以减轻和更好地了解潜在风险。这项研究利用地震和有限的数据，为科罗拉多州南部的CCUS潜力提供了早期的见解，并最终为该地区未来实施CO 2注入提供了有价值的指导。

{"title":"Feasibility study on large-scale geologic carbon sequestration in Southern Colorado","authors":"Yanrui Ning , Ali Tura , David Herman , Jay Bridgeman , Dana Clark","doi":"10.1016/j.ijggc.2025.104462","DOIUrl":"10.1016/j.ijggc.2025.104462","url":null,"abstract":"<div><div>This study evaluates the feasibility of storing over 50 million metric tons of CO<sub>2</sub> within a 30-year period in southern Colorado. The target for injection is the 7000 ft (2134 m)-deep Lyons saline aquifer formation, with the overlying alternating layers of anhydrite and shale serving as seals. Geological static models were constructed using seismic, well log and core data, followed by fluid flow modeling to understand the CO<sub>2</sub> injection strategy, saturation distribution and plume size. The results indicate that approximately 60 million metric tons of CO<sub>2</sub> can be injected with 2 wells into the formation over 30 years, with 85 % of the CO<sub>2</sub> existing in a supercritical phase during the injection stage. After 70 years of shut-in, about 30 % of the injected CO<sub>2</sub> becomes immobilized due to hysteresis. Seismic data shows no faulting within the injection and seal formations, and no legacy wells penetrate the Lyons formation within the study area, which reduces the risks of fault slippage and leakage through legacy wells. However, the small dip angle of the structure may present challenges to CO<sub>2</sub> plume containment, highlighting the importance of implementing strategies such as enhanced monitoring systems, detailed geomechanical modeling, and plume migration simulations to mitigate and better understand potential risks. This study offers early insights into CCUS potential in southern Colorado using seismic and limited data, and will ultimately provide valuable guidance for future implementation of CO₂ injection in the region.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"147 ","pages":"Article 104462"},"PeriodicalIF":5.2,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical assessment of triply periodic minimal surfaces for direct air capture of carbon dioxide 直接空气捕获二氧化碳的三周期最小表面的数值评估

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2025-09-01 DOI: 10.1016/j.ijggc.2025.104457

Kellis Kincaid, Filipe L. Brandao, Flavio D.F. Chuahy, Kashif Nawaz

Direct air capture (DAC) systems often consist of packing material wetted by a capture fluid that reacts with CO

_{2}

in the airstream. The efficiency of the contactor is determined by a complex relationship of fluid dynamics, heat and mass transfer, contactor geometry, and chemical properties. The efficiency of the contactor must be balanced with other factors, primarily pressure drop through the system. Triply periodic minimal surfaces (TPMS) are a class of differential surfaces that have been explored in multiple engineering applications and have been shown to exhibit excellent performance when used in heat exchangers. Their tortuous path provides a high surface-to-volume ratio and favorable trade-off between contact area and pressure drop. In this work, a gyroid-type TPMS contactor was evaluated using computational fluid dynamics for a variety of geometric parameters to explore the potential benefit of TPMS shapes for DAC applications. A thin-film model was employed to model the flow and distribution of the capture solvent, allowing efficient simulations of TPMS structures at scale by eliminating the need for a computationally intensive interface capturing method. A liquid-gas mass transfer model was implemented in the commercial software STAR-CCM+ and used to predict the CO

_{2}

capture efficiency and study the trade-off between capture performance and pressure drop through analysis of capture rates, mass transfer coefficients, and other relevant variables. TPMS contactors with a variety of geometric parameters and two capture solvent options were investigated to determine the effect of design choices on the operational performance of DAC systems. Results showed that while contactor geometry is the dominant factor in efficiency and pressure drop, the physiochemical properties of the solvent are an important secondary influence on the contactor performance.

直接空气捕集（DAC）系统通常由被捕集液润湿的包装材料组成，捕集液与气流中的二氧化碳发生反应。接触器的效率是由流体动力学、传热传质、接触器几何形状和化学性质的复杂关系决定的。接触器的效率必须与其他因素相平衡，主要是通过系统的压降。三周期极小表面（TPMS）是一类微分表面，已在多种工程应用中进行了探索，并在热交换器中显示出优异的性能。它们曲折的路径提供了高的表面体积比和良好的接触面积和压降之间的权衡。在这项工作中，使用计算流体动力学方法对螺线形TPMS接触器进行了各种几何参数的评估，以探索TPMS形状对DAC应用的潜在好处。采用薄膜模型来模拟捕获溶剂的流动和分布，通过消除对计算密集型界面捕获方法的需要，可以在规模上有效地模拟TPMS结构。在商业软件STAR-CCM+中实现液气传质模型，通过分析捕集率、传质系数等相关变量，预测CO2捕集效率，研究捕集性能与压降之间的权衡关系。研究了具有不同几何参数和两种捕获溶剂的TPMS接触器，以确定设计选择对DAC系统运行性能的影响。结果表明，虽然接触器的几何形状是影响效率和压降的主要因素，但溶剂的理化性质是影响接触器性能的次要因素。

{"title":"Numerical assessment of triply periodic minimal surfaces for direct air capture of carbon dioxide","authors":"Kellis Kincaid, Filipe L. Brandao, Flavio D.F. Chuahy, Kashif Nawaz","doi":"10.1016/j.ijggc.2025.104457","DOIUrl":"10.1016/j.ijggc.2025.104457","url":null,"abstract":"<div><div>Direct air capture (DAC) systems often consist of packing material wetted by a capture fluid that reacts with CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> in the airstream. The efficiency of the contactor is determined by a complex relationship of fluid dynamics, heat and mass transfer, contactor geometry, and chemical properties. The efficiency of the contactor must be balanced with other factors, primarily pressure drop through the system. Triply periodic minimal surfaces (TPMS) are a class of differential surfaces that have been explored in multiple engineering applications and have been shown to exhibit excellent performance when used in heat exchangers. Their tortuous path provides a high surface-to-volume ratio and favorable trade-off between contact area and pressure drop. In this work, a gyroid-type TPMS contactor was evaluated using computational fluid dynamics for a variety of geometric parameters to explore the potential benefit of TPMS shapes for DAC applications. A thin-film model was employed to model the flow and distribution of the capture solvent, allowing efficient simulations of TPMS structures at scale by eliminating the need for a computationally intensive interface capturing method. A liquid-gas mass transfer model was implemented in the commercial software STAR-CCM+ and used to predict the CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> capture efficiency and study the trade-off between capture performance and pressure drop through analysis of capture rates, mass transfer coefficients, and other relevant variables. TPMS contactors with a variety of geometric parameters and two capture solvent options were investigated to determine the effect of design choices on the operational performance of DAC systems. Results showed that while contactor geometry is the dominant factor in efficiency and pressure drop, the physiochemical properties of the solvent are an important secondary influence on the contactor performance.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"146 ","pages":"Article 104457"},"PeriodicalIF":5.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The effect of supercritical CO2, pressure, and temperature on the acoustic and mechanical properties of soft caprock mudstone 超临界CO2、压力和温度对软盖泥岩声学和力学性质的影响

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2025-09-01 DOI: 10.1016/j.ijggc.2025.104459

Zeenat Maniar , Anna Stroisz , Mohammad Hossain Bhuiyan , Pierre Cerasi , Cathrine Ringstad , Lars Nielsen

Safe storage of carbon dioxide (CO₂) in a reservoir depends on the caprock's sealing efficiency and mechanical integrity. For long-term containment of CO₂, knowledge of rock property alterations due to CO₂-caprock interaction is crucial. Potentially accessible and permeable reservoirs for CO₂ storage in the southeastern North Sea include Miocene sands, which are topped by mudstones that should act as seals. Here, we expose upper Miocene caprock mudstone recovered from the Lille John-2 well in the Danish North Sea to supercritical CO₂ at field-representative pressure and temperature conditions to simulate the effect of CO₂ sequestration in a laboratory setting. We investigate acoustic, mechanical, and chemical variations in the rock before and after CO₂ exposure, which are essential for understanding the caprock’s strength and integrity. To isolate the geochemical effects, a control set of samples was exposed to inert Ar-gas under equivalent pressure and temperature conditions. The acoustic velocities were measured on cutting-sized (diameter:15 mm, thickness: 3–5 mm) samples using the continuous wave and through-transmission techniques, while shear strength was determined by the punch method. X-ray diffraction studies recorded chemically driven mineralogical alterations. After exposure, both compressional and shear wave velocities, as well as the shear strength of the material, increased by about 10 %, 10–50 %, and 85–130 %, respectively. However, no considerable change in mineralogy was detected. Exposure to scCO₂ displaced pore fluid out of the samples, leading to increased strength and stiffness, possibly due to pore fluid drying. The individual impacts of scCO₂, Ar-gas, and temperature treatment were ambiguous.

储层中二氧化碳的安全储存取决于盖层的密封效率和机械完整性。为了长期封存二氧化碳，了解二氧化碳与盖层相互作用导致的岩石性质变化是至关重要的。在北海东南部，潜在的可开采和可渗透的二氧化碳储层包括中新世砂岩，其顶部覆盖的泥岩应该起到密封的作用。在这里，我们将丹麦北海Lille John-2井中新世上部盖层泥岩暴露在具有现场代表性的压力和温度条件下的超临界CO2环境中，以模拟实验室环境中CO2封存的效果。我们研究了CO2暴露前后岩石的声学、力学和化学变化，这对于了解盖层的强度和完整性至关重要。为了隔离地球化学效应，一组对照样品在等效压力和温度条件下暴露于惰性ar气体中。采用连续波法和穿透透射法测量切割尺寸（直径15 mm，厚度3-5 mm）试样的声速，采用冲孔法测定剪切强度。x射线衍射研究记录了化学驱动的矿物学变化。暴露后，材料的纵波速度和横波速度以及抗剪强度分别提高了约10%，10 - 50%和85 - 130%。然而，在矿物学上没有发现明显的变化。暴露于scCO2会使孔隙流体从样品中排出，导致强度和刚度增加，这可能是由于孔隙流体干燥造成的。scCO2、ar气和温度处理对个体的影响不明确。

{"title":"The effect of supercritical CO2, pressure, and temperature on the acoustic and mechanical properties of soft caprock mudstone","authors":"Zeenat Maniar , Anna Stroisz , Mohammad Hossain Bhuiyan , Pierre Cerasi , Cathrine Ringstad , Lars Nielsen","doi":"10.1016/j.ijggc.2025.104459","DOIUrl":"10.1016/j.ijggc.2025.104459","url":null,"abstract":"<div><div>Safe storage of carbon dioxide (CO<sub>2</sub>) in a reservoir depends on the caprock's sealing efficiency and mechanical integrity. For long-term containment of CO<sub>2</sub>, knowledge of rock property alterations due to CO<sub>2</sub>-caprock interaction is crucial. Potentially accessible and permeable reservoirs for CO<sub>2</sub> storage in the southeastern North Sea include Miocene sands, which are topped by mudstones that should act as seals. Here, we expose upper Miocene caprock mudstone recovered from the Lille John-2 well in the Danish North Sea to supercritical CO<sub>2</sub> at field-representative pressure and temperature conditions to simulate the effect of CO<sub>2</sub> sequestration in a laboratory setting. We investigate acoustic, mechanical, and chemical variations in the rock before and after CO<sub>2</sub> exposure, which are essential for understanding the caprock’s strength and integrity. To isolate the geochemical effects, a control set of samples was exposed to inert Ar-gas under equivalent pressure and temperature conditions. The acoustic velocities were measured on cutting-sized (diameter:15 mm, thickness: 3–5 mm) samples using the continuous wave and through-transmission techniques, while shear strength was determined by the punch method. X-ray diffraction studies recorded chemically driven mineralogical alterations. After exposure, both compressional and shear wave velocities, as well as the shear strength of the material, increased by about 10 %, 10–50 %, and 85–130 %, respectively. However, no considerable change in mineralogy was detected. Exposure to scCO<sub>2</sub> displaced pore fluid out of the samples, leading to increased strength and stiffness, possibly due to pore fluid drying. The individual impacts of scCO<sub>2</sub>, Ar-gas, and temperature treatment were ambiguous.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"146 ","pages":"Article 104459"},"PeriodicalIF":5.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144931970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using earth tides to monitor CO2 storage: Field trials at the Otway International Test Centre, Victoria 利用潮汐监测二氧化碳储存：维多利亚奥特威国际测试中心的实地试验

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2025-09-01 DOI: 10.1016/j.ijggc.2025.104458

Charles Jenkins , Jonathan Ennis-King , Chris Green , James Gunning , Samuel Jackson , Andy Wilkins

Tidal forces from the Sun, Moon and other astronomical bodies cause daily variable strains in the solid earth. These strains cause variations in the pressure in fluid-saturated rocks. Their amplitude and phase are affected by the in-situ fluids, so that CO

_{2}

may be detectable when injected into an aquifer for a CO

_{2}

storage site. We report comprehensive monitoring of earth tides from six deep observation wells surrounding a 15 kt CO

_{2}

plume injected into the Paaratte aquifer in the Otway Basin, Australia. This plume was repeatedly monitored with time-lapse seismic. The observation wells were up to 500 meters from the edge of the CO

_{2}

plume, but the observed pressure amplitudes and phases of the earth tides responded to its creation and propagation. This response is at distances from the plume comparable to the pressure diffusion length in a day, which in this setting is about 350 meters. Earth tides may be a useful passive, supplementary method of monitoring CO

_{2}

plumes created by geological storage.

来自太阳、月球和其他天体的潮汐力在固体地球上造成每日变化的应变。这些应变引起流体饱和岩石中压力的变化。它们的振幅和相位受到原位流体的影响，因此，当注入二氧化碳储存地点的含水层时，可以检测到二氧化碳。我们报告了在澳大利亚Otway盆地Paaratte含水层注入15kt CO2羽流周围的六个深观测井对潮汐的全面监测。这个烟柱被用延时地震反复监测。观测井距离CO2羽流的边缘高达500米，但观测到的压力振幅和潮汐的阶段对其产生和传播做出了反应。这种反应发生在距离烟羽的距离上，相当于一天的压力扩散长度，在这种情况下，一天的压力扩散长度约为350米。潮汐可能是一种有用的被动补充方法，可以监测地质储存产生的二氧化碳羽流。

{"title":"Using earth tides to monitor CO2 storage: Field trials at the Otway International Test Centre, Victoria","authors":"Charles Jenkins , Jonathan Ennis-King , Chris Green , James Gunning , Samuel Jackson , Andy Wilkins","doi":"10.1016/j.ijggc.2025.104458","DOIUrl":"10.1016/j.ijggc.2025.104458","url":null,"abstract":"<div><div>Tidal forces from the Sun, Moon and other astronomical bodies cause daily variable strains in the solid earth. These strains cause variations in the pressure in fluid-saturated rocks. Their amplitude and phase are affected by the in-situ fluids, so that CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> may be detectable when injected into an aquifer for a CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> storage site. We report comprehensive monitoring of earth tides from six deep observation wells surrounding a 15 kt CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> plume injected into the Paaratte aquifer in the Otway Basin, Australia. This plume was repeatedly monitored with time-lapse seismic. The observation wells were up to 500 meters from the edge of the CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> plume, but the observed pressure amplitudes and phases of the earth tides responded to its creation and propagation. This response is at distances from the plume comparable to the pressure diffusion length in a day, which in this setting is about 350 meters. Earth tides may be a useful passive, supplementary method of monitoring CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> plumes created by geological storage.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"146 ","pages":"Article 104458"},"PeriodicalIF":5.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cost assessment of optimal seawater monitoring for unexpected CO2 leakage from an offshore reservoir 针对近海水库意外CO2泄漏的最佳海水监测成本评估

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2025-09-01 DOI: 10.1016/j.ijggc.2025.104455

Yuki Okamoto , Toru Sato , Shunsuke Kanao

Carbon Capture and Storage (CCS) has garnered attention as a mitigation strategy for the global warming and a means to achieve carbon neutrality. In Japan, monitoring CO₂ concentration in the sea is mandatory for subsea geological CO₂ storage due to concerns about the potential negative impact on marine environments in the event of accidental CO₂ leakage. However, the monitoring method currently conducted in Japan is not only expensive but also lacks fully scientific grounding. In this study, we aimed to develop a method for optimising the observation point placement to detect biologically significant CO₂ seepage. In the method, observation areas were identified based on the advection-diffusion simulation of dissolved CO₂ concentration emitted from every location in a possible seepage area when the CO₂ seepage rate was varied from 1000 to 25000 tonnes/year. Then, within the observation area, optimal observation locations were determined using a greedy algorithm. Finally, monitoring costs were calculated based on the number of observation points, the travel distance of an observation boat, and necessary observation days. The results showed a negative nonlinear relationship between detectable seepage rates and monitoring costs, which decreases rapidly up to seepage rates of 5000 tonnes/year and then remains almost constant above 10000 tonnes/year. This study suggests that monitoring policies could be determined according to risk tolerance and budget constraints for seepage that must be detected considering biological impacts.

碳捕集与封存（CCS）作为一种减缓全球变暖的战略和实现碳中和的手段受到了广泛关注。在日本，监测海洋中的二氧化碳浓度是海底地质二氧化碳储存的强制性要求，因为担心一旦发生意外的二氧化碳泄漏会对海洋环境产生潜在的负面影响。然而，目前在日本进行的监测方法不仅昂贵，而且缺乏充分的科学依据。在这项研究中，我们旨在开发一种方法来优化观测点的放置，以检测具有生物意义的二氧化碳渗漏。该方法通过对CO2渗流速率在1000 ~ 25000 t /年范围内可能渗流区域内各位置的溶解CO2排放浓度进行平流扩散模拟，确定观测区域。然后，在观测区域内，利用贪心算法确定最优观测位置。最后，根据观测点数量、观测船航行距离和观测所需天数计算监测费用。结果表明，可探测渗透率与监测成本之间存在负非线性关系，渗漏率在5000吨/年以下迅速下降，然后在10000吨/年以上基本保持不变。该研究表明，对于考虑生物影响而必须检测的渗漏，可以根据风险承受能力和预算约束来确定监测策略。

{"title":"Cost assessment of optimal seawater monitoring for unexpected CO2 leakage from an offshore reservoir","authors":"Yuki Okamoto , Toru Sato , Shunsuke Kanao","doi":"10.1016/j.ijggc.2025.104455","DOIUrl":"10.1016/j.ijggc.2025.104455","url":null,"abstract":"<div><div>Carbon Capture and Storage (CCS) has garnered attention as a mitigation strategy for the global warming and a means to achieve carbon neutrality. In Japan, monitoring CO<sub>2</sub> concentration in the sea is mandatory for subsea geological CO<sub>2</sub> storage due to concerns about the potential negative impact on marine environments in the event of accidental CO<sub>2</sub> leakage. However, the monitoring method currently conducted in Japan is not only expensive but also lacks fully scientific grounding. In this study, we aimed to develop a method for optimising the observation point placement to detect biologically significant CO<sub>2</sub> seepage. In the method, observation areas were identified based on the advection-diffusion simulation of dissolved CO<sub>2</sub> concentration emitted from every location in a possible seepage area when the CO<sub>2</sub> seepage rate was varied from 1000 to 25000 tonnes/year. Then, within the observation area, optimal observation locations were determined using a greedy algorithm. Finally, monitoring costs were calculated based on the number of observation points, the travel distance of an observation boat, and necessary observation days. The results showed a negative nonlinear relationship between detectable seepage rates and monitoring costs, which decreases rapidly up to seepage rates of 5000 tonnes/year and then remains almost constant above 10000 tonnes/year. This study suggests that monitoring policies could be determined according to risk tolerance and budget constraints for seepage that must be detected considering biological impacts.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"146 ","pages":"Article 104455"},"PeriodicalIF":5.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144920146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development and plant validation of a CESAR1 solvent model with an emphasis on water wash conditions CESAR1溶剂模型的开发和工厂验证，重点是水洗涤条件

IF 5.2 3区工程技术 Q2 ENERGY & FUELS

International Journal of Greenhouse Gas Control

Pub Date : 2025-08-27 DOI: 10.1016/j.ijggc.2025.104454

Jeffrey A. Weinfeld , Diego D.D. Pinto , Peter Moser , Georg Wiechers

CESAR1, an aqueous blend of 1.5 M piperazine (PZ) and 3.0 M 2-amino-2-methyl-1-propanol (AMP) has shown potential to replace monoethanolamine (MEA) as the benchmark solvent for carbon capture with aqueous amines. This is largely due to recently published literature showing CESAR1 reducing the process energy requirement below that of MEA. To properly evaluate CESAR1’s commercial potential as a replacement for MEA, accurate process models are required. When CESAR1 first emerged, little physical property and thermodynamic data was available on the solvent mixture. However, as CESAR1 has attracted more attention, an increasing amount of solvent data has been published. In this study, the CESAR1 model of the ProTreat® process simulator is updated with recently published data from literature, and data that was generated as part of the Sustainable Operation of Post-Combustion Capture Plants (SCOPE) project. The updated model was then validated with data from the RWE Niederaussem pilot plant. Results show high agreement between ProTreat® predictions and pilot plant data across eight cases testing different solvent flowrates, target capture rates, and absorption capacity. As a result, a mass-transfer rate-based CESAR1 model is validated, which can be used as a tool for industry members and researchers to further evaluate the commercial potential of CESAR1.

CESAR1是1.5 M哌嗪（PZ）和3.0 M 2-氨基-2-甲基-1-丙醇（AMP）的水共混物，具有取代单乙醇胺（MEA）作为水胺碳捕获基准溶剂的潜力。这主要是由于最近发表的文献显示CESAR1将过程能量需求降低到低于MEA的水平。为了正确地评估CESAR1作为MEA替代品的商业潜力，需要精确的过程模型。当CESAR1首次出现时，关于溶剂混合物的物理性质和热力学数据很少。然而，随着CESAR1受到越来越多的关注，越来越多的溶剂数据被发表。在本研究中，ProTreat®过程模拟器的CESAR1模型更新了最近发表的文献数据，以及作为燃烧后捕集厂可持续运营（SCOPE）项目的一部分生成的数据。更新后的模型随后用RWE Niederaussem中试工厂的数据进行了验证。结果表明，ProTreat®的预测结果与中试工厂的8个案例数据高度一致，测试了不同的溶剂流速、目标捕获率和吸收能力。因此，基于传质率的CESAR1模型得到了验证，该模型可作为行业成员和研究人员进一步评估CESAR1商业潜力的工具。

{"title":"Development and plant validation of a CESAR1 solvent model with an emphasis on water wash conditions","authors":"Jeffrey A. Weinfeld , Diego D.D. Pinto , Peter Moser , Georg Wiechers","doi":"10.1016/j.ijggc.2025.104454","DOIUrl":"10.1016/j.ijggc.2025.104454","url":null,"abstract":"<div><div>CESAR1, an aqueous blend of 1.5 M piperazine (PZ) and 3.0 M 2-amino-2-methyl-1-propanol (AMP) has shown potential to replace monoethanolamine (MEA) as the benchmark solvent for carbon capture with aqueous amines. This is largely due to recently published literature showing CESAR1 reducing the process energy requirement below that of MEA. To properly evaluate CESAR1’s commercial potential as a replacement for MEA, accurate process models are required. When CESAR1 first emerged, little physical property and thermodynamic data was available on the solvent mixture. However, as CESAR1 has attracted more attention, an increasing amount of solvent data has been published. In this study, the CESAR1 model of the ProTreat® process simulator is updated with recently published data from literature, and data that was generated as part of the Sustainable Operation of Post-Combustion Capture Plants (SCOPE) project. The updated model was then validated with data from the RWE Niederaussem pilot plant. Results show high agreement between ProTreat® predictions and pilot plant data across eight cases testing different solvent flowrates, target capture rates, and absorption capacity. As a result, a mass-transfer rate-based CESAR1 model is validated, which can be used as a tool for industry members and researchers to further evaluate the commercial potential of CESAR1.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"146 ","pages":"Article 104454"},"PeriodicalIF":5.2,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0