International Journal of Greenhouse Gas Control最新文献

{"title":"Physics-coupled machine learning toolset for geological carbon storage evaluation and performance analysis","authors":"Guoxiang Liu ,&nbsp;Xiongjun Wu ,&nbsp;Chung-Yan Shih ,&nbsp;Veronika Vasylkivska ,&nbsp;Hema Siriwandane ,&nbsp;Grant Bromhal","doi":"10.1016/j.ijggc.2025.104538","DOIUrl":"10.1016/j.ijggc.2025.104538","url":null,"abstract":"<div><div>A comprehensive toolset that can provide fast and accurate design, survey, planning, monitoring, and evaluation of behaviors and responses in the reservoir field is essential to achieve successful geological carbon capture and storage (CCS) development and operations, with or without enhanced hydrocarbon recovery. Based on the physics of material balance between injection and extraction, the Capacitance Resistance Model (CRM) method can perform rapid history matching (HM), forecasting, and optimizations in operational scale. Such capabilities provide key operational guidance to users with insights of an individual well regarding its injection/extraction and bottom hole pressure (BHP), as well as inter-well connectivity of multiple wells in the field along with its flexible time-window capability for operation planning and development. Moreover, advanced artificial intelligence (AI)/machine learning (ML) models developed for the virtual learning environment (VLE) are also coupled with the workflow to provide detailed three-dimensional reservoir field responses that are essential to the geological CCS monitoring and evaluation of the optimal reservoir management and risk reduction. The proposed approach with physics-informed ML demonstrates the value for emerging “SMART” field operations and reservoir management with three to four orders of magnitude speed-up in computational time in a real-time and near real-time fashion. Innovatively coupling CRM and virtual learning together brings a dual benefit for both rapid operational focus in field applications and drilling down to the detailed three-dimensional of reservoir evolutions. Such provides insights and comprehensive understanding for CO₂ storage and other application potentials such as oil &amp; gas, geothermal, and hydrogen applications.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"149 ","pages":"Article 104538"},"PeriodicalIF":5.2,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145748491","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}

{"title":"Enhanced hydrogeochemical baseline of a CO2 injection facility in southern Alberta, Canada","authors":"Nicholas Utting ,&nbsp;Kirk G. Osadetz ,&nbsp;Bernhard Mayer ,&nbsp;Tiago Morais ,&nbsp;Stuart M.V. Gilfillan ,&nbsp;Michael Nightingale ,&nbsp;Thomas Darrah ,&nbsp;Emma Martin-Roberts ,&nbsp;Don Lawton","doi":"10.1016/j.ijggc.2025.104545","DOIUrl":"10.1016/j.ijggc.2025.104545","url":null,"abstract":"<div><div>Geological storage of CO₂ is anticipated to play a significant role in the management and reduction of greenhouse gas emissions. Monitoring of CO₂ injection facilities is essential to provide reassurance of the containment of the injected CO₂. Here, we report results over six years (2018–2023) for a hydrogeological and geochemical (gas compositions, δ¹³C_CH4, δ¹³C_CO2, δ²H_CH4 and noble gas concentration and isotopes) monitoring program at a small-scale CO₂ injection facility located near Brooks, Alberta, Canada with injection ∼300 m below ground. The results provide a comprehensive record of the subsurface hydrological and geochemical conditions over the six-year period. Injected CO₂ was not detected in samples from the injection zone. There was also no indication of injected CO₂ in samples collected from surface casing vents of the three ∼300 m deep wells, nor was injected CO₂ observed in samples from the six shallow groundwater wells (&lt;105 m deep). Various compositional and isotopic changes have been observed over time which are interpreted to either be indirectly related to CO₂ injection or completely unrelated indicating non-CO₂ injection related variability in the baseline conditions of the site. Additionally, a progressive reduction in hydraulic head has been observed in some shallow aquifers consistent with drought conditions in the region. Our study implies that complex subsurface changes may occur at CO₂ storage sites which may be unrelated to human activity, complicating the monitoring of CO₂ injection.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"149 ","pages":"Article 104545"},"PeriodicalIF":5.2,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145692599","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}

{"title":"Feasibility of subsurface storage of hydrochar in the Netherlands as carbon dioxide removal technique","authors":"Timothy F. Baars ,&nbsp;Hemmo A. Abels ,&nbsp;Anne-Catherine A.M. Dieudonné ,&nbsp;Joachim B. Hanssler ,&nbsp;Sebastian Geiger","doi":"10.1016/j.ijggc.2025.104539","DOIUrl":"10.1016/j.ijggc.2025.104539","url":null,"abstract":"<div><div>Hydrothermal carbonisation enables the conversion of wet biomass into hydrochar, a carbon-rich solid with potential for durable carbon dioxide removal (CDR). While hydrochar has been studied extensively for topics as soil application or wastewater treatment, its role in subsurface storage remains underexplored. This study examines the feasibility of hydrochar-based biomass carbon removal and storage (BiCRS) in the Netherlands, where abundant wet biomass and well-developed subsurface infrastructure offer a promising deployment context. We characterise the chemical and mechanical properties of manure-derived hydrochar and evaluate seven potential storage configurations, from abandoned coal mines to quarry lakes and lightweight fill applications, based on technical feasibility, environmental risk, and long-term containment. Our findings identify two priority pathways: storage in salt caverns and use as lightweight filling material for land elevation. A third pathway, storage in sand quarry lakes, also holds potential, though additional safeguards and site-specific assessments are needed to ensure environmental integrity and carbon retention. Hydrochar’s compatibility with wet, low-value feedstocks and potential for decentralised implementation position it as a flexible addition to the CDR portfolio. However, realising this potential will depend on further field validation, material optimisation, and regulatory alignment. Key uncertainties remain regarding long-term degradation, leachate behaviour, and performance under representative subsurface conditions. This study highlights hydrochar as a scalable, technically viable CDR approach. If supported by robust containment, monitoring, and governance frameworks, it could play a meaningful role in national and regional climate mitigation strategies.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"149 ","pages":"Article 104539"},"PeriodicalIF":5.2,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145692596","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}

{"title":"Integrated CO2-EOR and post-EOR dedicated CO2 storage: Demonstrating the value of coupled system and optimal incentive structures","authors":"Abouzar Mirzaei-Paiaman ,&nbsp;Larry W. Lake ,&nbsp;Lorena G. Moscardelli","doi":"10.1016/j.ijggc.2025.104543","DOIUrl":"10.1016/j.ijggc.2025.104543","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Injecting anthropogenic CO&lt;sub&gt;2&lt;/sub&gt; into oil reservoirs provides the dual benefits of enhanced oil recovery (EOR) and reduced atmospheric CO&lt;sub&gt;2&lt;/sub&gt; levels. After a CO&lt;sub&gt;2&lt;/sub&gt;-EOR project ends, operations can transition into dedicated CO&lt;sub&gt;2&lt;/sub&gt; storage, wherein CO&lt;sub&gt;2&lt;/sub&gt; injection continues without further oil production. However, most prior studies have treated CO&lt;sub&gt;2&lt;/sub&gt;-EOR and dedicated storage as separate processes, potentially overlooking important interdependencies. This separation may limit the optimization of both economic and environmental outcomes. In this study, we adopt an integrated approach that jointly considers the EOR and post-EOR phases, with the objective of maximizing benefits across the entire project timeline. We demonstrate the value of the integrated system using a case study from a San Andres reservoir in the Permian Basin, West Texas, and also use it to provide first-order estimates of optimal carbon storage incentives for both phases. Optimality is defined as the level of incentive that aligns economic returns with environmental gains. Using a compositional simulation model, we compared two integrated strategies under identical conditions: (1) continuous CO&lt;sub&gt;2&lt;/sub&gt; injection and (2) CO&lt;sub&gt;2&lt;/sub&gt;-WAG (Water-Alternating-Gas), each followed by a post-EOR CO&lt;sub&gt;2&lt;/sub&gt; storage phase. The CO&lt;sub&gt;2&lt;/sub&gt;-WAG approach yielded higher oil production but resulted in lower CO&lt;sub&gt;2&lt;/sub&gt; storage compared to continuous injection, with the reduction in CO&lt;sub&gt;2&lt;/sub&gt; storage observed during both the EOR and post-EOR phases. A similar trend was observed in terms of net CO&lt;sub&gt;2&lt;/sub&gt; emissions, further reinforcing that CO&lt;sub&gt;2&lt;/sub&gt;-WAG is less favorable from climate perspective. Economically, the relative attractiveness of each strategy was highly dependent on the level of incentives. At lower incentive levels, the CO&lt;sub&gt;2&lt;/sub&gt;-WAG strategy was more profitable, both during the EOR phase and over the entire integrated system. However, as incentives increased, certain scenarios emerged where CO&lt;sub&gt;2&lt;/sub&gt;-WAG remained more profitable only during the EOR phase, while the strategy involving continuous CO&lt;sub&gt;2&lt;/sub&gt; injection became economically superior over the full integrated system. In some cases, continuous injection was consistently more profitable in both the EOR phase and the integrated context. These findings underscore the importance of evaluating CO&lt;sub&gt;2&lt;/sub&gt;-EOR and post-EOR storage as a single, integrated system. Economic superiority during the EOR phase alone does not guarantee optimal outcomes across the full project period. Moreover, compromising CO&lt;sub&gt;2&lt;/sub&gt; storage during the EOR phase can make it implausible to achieve maximum storage potential in the integrated system. These results also highlight the critical role of well-designed incentive structures in aligning economic and environmental goals, ensuring that the most economically beneficial strategy also delivers ","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"149 ","pages":"Article 104543"},"PeriodicalIF":5.2,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145692543","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}

{"title":"Does the release of toxic metals due to subsurface CO2 storage in basalts pose an environmental hazard?","authors":"Deirdre E. Clark ,&nbsp;Iwona M. Galeczka ,&nbsp;Sigurður R. Gíslason ,&nbsp;Sandra Ó. Snæbjörnsdóttir ,&nbsp;Ingvi Gunnarsson ,&nbsp;Eric H. Oelkers","doi":"10.1016/j.ijggc.2025.104526","DOIUrl":"10.1016/j.ijggc.2025.104526","url":null,"abstract":"<div><div>Carbon dioxide storage through the carbonation of subsurface basaltic rocks is currently being explored to limit carbon emissions to the atmosphere. Basaltic rocks, however, contain trace and toxic metals that could potentially be mobilized by the carbonation process. This study reports the degree to which selected trace and toxic metals were mobilized during CarbFix1 and CarbFix2 projects. CarbFix1 injected 175 tons of CO₂-charged water followed by 73 tons of CO₂/H₂S-charged water into basalts at 35 °C, whereas CarbFix2 continuously injected CO₂/H₂S-charged water into basalts at &gt;250 °C. In most cases dissolved concentrations of Ba, Sr, Mo, Cu, Cr, Ni, Cd, and Pb in monitoring well fluids remained low. Although these fluids are not intended for human consumption, the aqueous trace element concentrations were generally below the WHO, EU, and Iceland drinking water standards, except for Fe and Mn in CarbFix1. Aluminum and As concentrations exceeded these standards during CarbFix2, but were elevated before injection. The low concentrations of most trace and toxic metals are consistent with their removal by secondary processes, particularly co-precipitation into carbonate and sulfide minerals formed during gas-water-basalt interaction. Solid precipitates recovered from CarbFix1 show strong enrichment of transition metals in calcite, consistent with natural and engineered analogues. As the two CarbFix injections bound the lower and upper temperature ranges of likely mineral carbon storage efforts, these results suggest limited risk of water contamination due to toxic and trace element release from subsurface basalts due to the injection of dissolved CO₂ and H₂S.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"149 ","pages":"Article 104526"},"PeriodicalIF":5.2,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145692597","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}

{"title":"Scaling carbon capture and storage (CCS) to gigaton capacity: A multi-dimensional and critical review","authors":"Benjamin Mitterrutzner ,&nbsp;Benjamin K. Sovacool ,&nbsp;Brage Rugstad Knudsen ,&nbsp;Morgan D. Bazilian ,&nbsp;Jinsoo Kim ,&nbsp;Simon Roussanaly ,&nbsp;Asgeir Tomasgard ,&nbsp;Steven Griffiths","doi":"10.1016/j.ijggc.2025.104531","DOIUrl":"10.1016/j.ijggc.2025.104531","url":null,"abstract":"<div><div>This Review examines the role of carbon capture and storage (CCS) in achieving net-zero emissions by 2050, focusing on its scale-up and integration across energy systems and hard-to-abate industries. Its interdisciplinary approach provides a comprehensive review of the state-of-the-art in CCS research, evaluating its potential role in achieving net-zero emissions. It assesses not only technological advancements and characteristics but also the critical costs and energy requirements of various CCS technologies. Based on modelling insights from the International Energy Agency Net Zero Emissions pathway, it highlights the need to scale CCS deployment to 1 Gt CO₂ annually by 2030 to stay on track for climate goals. This review piece underscores the urgency of rapid CCS scale-up this decade, complementing other measures across energy and industry. Furthermore, it assesses the recent advancements in CO₂ capture, transport, and storage technologies, along with their techno-economic characteristics and results in energy system models. The study concludes by identifying key challenges and providing a strategy roadmap for decision-makers for accelerating CCS deployment.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"149 ","pages":"Article 104531"},"PeriodicalIF":5.2,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145692598","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}

{"title":"AI-driven rapid forecasting of CO2 plume migration and trapping efficiency in geological carbon storage","authors":"Oluwasanmi Talabi ,&nbsp;Guodong Ren ,&nbsp;Siddharth Misra","doi":"10.1016/j.ijggc.2025.104535","DOIUrl":"10.1016/j.ijggc.2025.104535","url":null,"abstract":"<div><div>Accurate and rapid forecasting of CO₂ trapping, mobility, and plume evolution under dynamic injection conditions is crucial for effective planning, operational optimization, and regulatory compliance in geological carbon storage (GCS) projects. Traditional analytical methods often rely on oversimplified assumptions, compromising accuracy, while numerical simulations, though precise, require extensive computational resources, limiting their utility for real-time scenario analysis.</div><div>To overcome these challenges, this study proposes an advanced deep learning framework for forecasting trapped and movable CO₂ fractions and plume extent. An enhanced sequence-to-sequence (Seq2Seq) neural network with a composite loss function robustly predicts CO₂ volumetrics, while a hybrid Long Short-Term Memory (LSTM) and Multilayer Perceptron (MLP) model forecasts CO₂ plume extent. The models incorporate nine static geological and reservoir characteristics and dynamic injection profiles, capturing real-world injection complexities, including varying rates and intermittent schedules with multiple start-stop events. Training utilized several hundred high-fidelity numerical simulation realizations covering diverse geological and operational scenarios.</div><div>The enhanced Seq2Seq model achieved an average Mean Absolute Error (MAE) of 0.016 for trapped and movable CO₂ fractions, while the LSTM-MLP model attained an average MAE of 42 meters for plume diameter. These deep learning-driven surrogates drastically reduce computational time, providing accurate forecasts within seconds per scenario compared to conventional methods requiring hours. This significant advancement facilitates rapid, reliable decision-making, optimized storage strategies, and rigorous regulatory compliance in GCS initiatives.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"149 ","pages":"Article 104535"},"PeriodicalIF":5.2,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645762","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}

{"title":"Modeling atmospheric impacts of amine emissions from post-combustion carbon capture systems","authors":"Prakash Karamchandani ,&nbsp;Tianyu Gao ,&nbsp;Pradeepa Vennam ,&nbsp;Greg Yarwood ,&nbsp;Eladio Knipping ,&nbsp;Abhoyjit S. Bhown","doi":"10.1016/j.ijggc.2025.104532","DOIUrl":"10.1016/j.ijggc.2025.104532","url":null,"abstract":"<div><div>This paper describes the application of a photochemical puff model, the Second-Order Closure Integrated Puff Model with Chemistry (SCICHEM), to simulate the impacts of air emissions associated with amine-based post-combustion CO₂ capture. Amines react in the atmosphere with the hydroxyl (OH) radical and other oxidants to form potentially harmful products, such as nitrosamines and nitramines. Amines can also form particles with sulfuric acid that may be present in the amine absorber or in the atmosphere. Nitrosamines can photolyze back to the amino radical. Simulating these processes requires the use of a photochemical model that can provide concentrations of the oxidants that influence amine chemistry. In this work, SCICHEM was adapted to include the chemistry of three amines: monoethanolamine (MEA), 2-amino-2-methylpropanol (AMP) and piperazine (PZ). These solvents were chosen since more thermodynamic and kinetic data are available for these amines than for other proprietary amines. The model was applied to the Midwest and Gulf Coast regions in the United States to evaluate the air quality impacts of amine-based post-combustion carbon capture (PCCC) systems applied to natural gas combined cycle (NGCC) and coal-fired power plants. Three representative amine solvents (PZ, MEA, and CESAR 1, a blend of PZ and AMP) were studied, and configurations with water wash and with acid wash were used in the modeling. The results show that with water wash, the long-term annual average air concentrations of nitrosamines + nitramines for all three solvents are well below the exposure limit of 0.3 ng/m³ established by the Norwegian Institute of Public Health (NIPH). However, the 98^th percentile of the 24 h averages of nitrosamine + nitramine are above the exposure limit, indicating some health concern from short-term exposure. Using acid wash resulted in significant reductions in nitrosamine + nitramine concentrations, as well as in total PM_2.5. For PZ and MEA, using acid wash reduced the peak 24 h and 98^th percentile 24 h nitrosamine + nitramine concentrations to below the limit. However, for some of the CESAR 1 solvent scenarios, the threshold is still exceeded when acid wash is used.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"148 ","pages":"Article 104532"},"PeriodicalIF":5.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145690721","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}

{"title":"Enhanced imaging of multi-layer CO2 plumes using full-waveform inversion: Insights from the Sleipner storage site","authors":"Ricardo Martinez ,&nbsp;Vetle Vinje ,&nbsp;Joachim Mispel ,&nbsp;Philip Ringrose ,&nbsp;Alexey Stovas ,&nbsp;Martin Landrø","doi":"10.1016/j.ijggc.2025.104517","DOIUrl":"10.1016/j.ijggc.2025.104517","url":null,"abstract":"<div><div>In this study, we demonstrate the benefits of applying full-waveform inversion (FWI), for the imaging of multi-layer CO₂ plumes. We apply 3D FWI, up to 42 Hz, using the 2010 towed-streamer data from the Sleipner storage site offshore Norway. While the 3D FWI method does not aim to replace 4D FWI for CO₂ migration monitoring, the properties of the Utsira aquifer at Sleipner, with low stiffness and shallow burial depth, enable effective mapping of the CO₂ without the need of a repeated FWI application. Our FWI model and associated images offer a significant imaging improvement in the lower half of the plume compared with the legacy seismic data, revealing vertical CO₂ migration routes that have not been observed previously at the site. We show the limitations of reflection-based migration methods for imaging CO₂ migration pathways and demonstrate that FWI can improve their detection. The FWI model can support conventional time-lapse analyses by improving the interpretation of known CO₂ migration routes, by highlighting CO₂ layers with low reflectivity, and by attenuating multiples better. Our analysis suggests that CO₂ migration at Sleipner is likely controlled by several vertical communication routes, including chimneys, and linear structures, several hundreds of meters long, that connect multiple accumulations of CO₂. Within each layer, our analysis suggests buoyancy-driven, fill-to-spill migration, constrained by the topography of the sealing units. Finally, we conclude that, while simple CO₂ accumulations can be monitored successfully using reflection-based migration methods and analyses, multi-layered CO₂ plumes will greatly benefit from complementary analyses using FWI.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"148 ","pages":"Article 104517"},"PeriodicalIF":5.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145621216","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}

{"title":"Regional pressure response to large-scale carbon storage in the bunter sandstone formation, Silverpit Basin (Southern North Sea, UK)","authors":"Mattia De Luca ,&nbsp;Eric J. Mackay ,&nbsp;Timothy R. Good ,&nbsp;Vittorio Scisciani ,&nbsp;Colin MacBeth ,&nbsp;Stefano Patruno ,&nbsp;Joseph Sutcliffe","doi":"10.1016/j.ijggc.2025.104530","DOIUrl":"10.1016/j.ijggc.2025.104530","url":null,"abstract":"<div><div>Carbon Capture and Storage (CCS) technologies play a pivotal role in mitigating anthropogenic carbon emissions by enabling the long-term subsurface sequestration of CO₂. These are essential for achieving international climate targets and supporting short- to mid-term mitigation strategies. Among potential storage sites, the extensive saline aquifer of the Bunter Sandstone in the Silverpit Basin has been identified as a high-capacity reservoir suitable for CCS deployment. With more CO₂ injection projects planned, understanding the broader aquifer sensitivity is essential.</div><div>This study investigates the influence of geological settings and boundary transmissibility on the aquifer response to large-scale CO₂ injection.</div><div>A regional model of the Silverpit was developed to simulate CO₂ injection at a rate of 1 Mt/yr/well over 50 years across 14 wells, followed by a 5000-year post-injection observation period to assess plume migration and pressure behaviour.</div><div>The findings indicate that the reservoir can safely accommodate approximately 700 Mt of supercritical CO₂. However, pressure footprint extends over tens of kilometres, underscoring the necessity of accurately characterising regional boundaries. Moreover, the latter significantly influences inter-regional flow dynamics, with observed inversions in flow direction. The structural setting of the Silverpit ensures effective CO₂ containment within four-way dip closures. A thorough understanding of these interactions is crucial for evaluating the potential need for brine production to manage reservoir pressure and mitigate pressure interference between storage licenses.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"148 ","pages":"Article 104530"},"PeriodicalIF":5.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145621217","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}