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Study on evaluation method of drilling fluid-salt formation interaction based on radial flow equivalence 基于径向流等效的钻井液-盐地层相互作用评价方法研究
IF 3.9 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2026-01-23 DOI: 10.1016/j.cherd.2026.01.041
Yuan He, Li Kang, Rong Li, Tong Cheng, Fu Li, Bo Yang
During the processes of drilling fluid circulation and cementing operation, the working fluid in the wellbore annulus mainly exhibits axial flow. Traditional large-scale axial flow simulation devices, such as horizontal well drilling fluid sand-carrying devices, can relatively truly reproduce the flow state of working fluid. However, they have problems including large volume, high cost, and inconvenience in operation and maintenance, which result in low utilization rate in conventional experiments. To date, no dedicated device has been developed for the simulation of axial flow by means of radial flow. This study proposes a new method that uses radial flow to simulate axial flow, aiming to evaluate the performance changes of oil and gas field working fluid when it flows through salt formations, as well as the effects of erosion and contamination on salt formations caused by the working fluid. It conducts research on the interaction method with working fluid as the subject and salt formation as the object, deduces the equivalent semi-theoretical formula between radial flow and axial flow under the conditions of shear rate and contact area, and develops a set of simulation experimental devices. The innovation of this study does not lie in the radial flow equivalence principle itself, but in its specific application to the solid-liquid coupling of drilling fluid-salt formation and the full-chain simulation of erosion-dissolution-contamination in salt formations. Taking laboratory experiments as an example, after 120 min of erosion on the salt formation by two drilling fluid systems (DSP and JHJS) optimized through this evaluation method, the variation range of rheological properties and fluid loss performance is 5%–10%, the dissolution depth of the salt formation is tiny, and the surface morphology remains unchanged. This method can provide an operable experimental means for the evaluation of drilling fluid salt resistance and the optimization of drilling formulas for salt formations. It also has guiding significance in practical construction, as it can realize cycle optimization in both deep wells and medium-shallow wells, and provide reliable technical support for the design and on-site application of drilling fluid systems under complex well conditions.
在钻井液循环和固井作业过程中,井筒环空的工作流体主要表现为轴向流动。传统的大型轴流模拟装置,如水平井钻井液携砂装置,可以比较真实地再现工作流体的流动状态。但存在体积大、成本高、操作维护不方便等问题,在常规实验中利用率较低。到目前为止,还没有研制出用径向流模拟轴向流的专用装置。本研究提出了一种利用径向流模拟轴向流的新方法,旨在评估油气田工作液流过盐层时的性能变化,以及工作液对盐层的侵蚀和污染影响。研究了以工质流体为主体,以盐层为对象的相互作用方法,推导了剪切速率和接触面积条件下径向流与轴向流的等效半理论公式,研制了一套模拟实验装置。本研究的创新之处不在于径向流动等效原理本身,而在于将其具体应用于钻井液-盐地层固液耦合以及盐地层侵蚀-溶蚀-污染全链模拟。以室内实验为例,通过该评价方法优化的两种钻井液体系(DSP和JHJS)对盐层进行120 min的侵蚀后,其流变性能和滤失性能的变化范围为5% ~ 10%,盐层溶解深度很小,表面形貌保持不变。该方法可为盐层钻井液抗盐性评价和钻井配方优化提供一种可操作的实验手段。在实际施工中具有指导意义,可实现深井和中浅井的循环优化,为复杂井况下钻井液体系的设计和现场应用提供可靠的技术支持。
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引用次数: 0
Micro-feeding and mixing of pharmaceutical solid dosage forms under external vibration 外部振动作用下药物固体剂型的微加料和混合
IF 3.9 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2026-01-23 DOI: 10.1016/j.cherd.2026.01.048
Liang Zhang , Haifeng Lu , Xiaolei Guo , Haifeng Liu
This study addresses the challenges of micro-dosing and mixing in the continuous manufacturing of solid pharmaceutical formulations by developing a novel continuous feeding-mixing system based on external vibration excitation. The innovative design of a hopper structure with adjustable outlet area distribution demonstrated the potential for achieving precise mixing control of an active pharmaceutical ingredient (API) and an excipient across varying ratios. Experiments first validated the promotion of viscous particle flow by vertical vibration, achieving stable feeding within the range of 0.6–15 mg/s. Building on this, precise control of mixing ratios was enabled by designing different outlet area ratios. In mixing performance evaluation, online X-ray fluorescence spectroscopy confirmed the system achieves high-uniformity mixing with a coefficient of variation below 10 %. The study further revealed that optimal mixing stability occurs when Γ < 5, whereas excessive vibration degrades mixing quality.
本研究通过开发一种基于外部振动激励的新型连续进料混合系统,解决了固体制剂连续生产中微量加药和混合的挑战。具有可调节出口面积分布的料斗结构的创新设计展示了实现活性药物成分(API)和赋形剂在不同比例的精确混合控制的潜力。实验首先验证了垂直振动对粘性颗粒流动的促进作用,在0.6-15 mg/s范围内实现了稳定进料。在此基础上,通过设计不同的出口面积比,可以精确控制混合比。在混合性能评价中,在线x射线荧光光谱分析证实该体系实现了高均匀混合,变异系数小于10 %。研究进一步表明,当Γ <; 5时,混合稳定性最佳,而过度振动会降低混合质量。
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引用次数: 0
PdO-sensitized MoO3/SiO2 S-scheme heterojunction as a highly efficient and reusable photocatalyst for visible-light driven Hg(II) remediation pdo敏化MoO3/SiO2 S-scheme异质结作为一种高效、可重复使用的光催化剂用于可见光驱动的汞(II)修复
IF 3.9 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2026-01-22 DOI: 10.1016/j.cherd.2026.01.047
Abeer A. Rajhi , Amal S. Basaleh , Naif S. Aljohani , Ahmed Shawky , Mostafa E. Salem , Reda M. Mohamed
The progress of highly efficient and robust photocatalysts is essential for addressing the global challenge of heavy metal water contamination. In this work, a novel ternary nanocomposite was constructed by impregnating trace amounts of palladium(II) oxide (PdO) nanoparticles onto a silica-supported molybdenum trioxide (MoO3/SiO2) framework via a facile sol-gel method. The resulting PdO/MoO3/SiO2 heterostructures were thoroughly characterized to improve their photocatalytic performance. The heterostructure with an optimal loading of 4.0 wt% PdO verified superior properties, including relatively higher specific surface area of 150.19 m2g–1, a significantly lessened optical bandgap of 2.11 eV, and distinctly improved charge carrier separation. Under visible-light exposure, this adjusted photocatalyst displayed outstanding activity, achieving the complete photoreduction of aqueous Hg(II) ions in an faster timeframe of 45 min. The reaction tracked pseudo-first-order kinetics, with a high initial rate of 29.06 µM min–1. The catalyst also exhibits extraordinary stability, preserving 96 % of its initial efficiency after five recycles. These findings indicate the PdO/MoO3/SiO2 nanocomposite as a capable, high-performance photocatalyst for real application in environmental remediation.
高效强效光催化剂的研究是解决重金属水污染问题的关键。在这项工作中,通过简单的溶胶-凝胶法将微量氧化钯(PdO)纳米颗粒浸渍在二氧化硅支撑的三氧化钼(MoO3/SiO2)框架上,构建了一种新型三元纳米复合材料。对所得的PdO/MoO3/SiO2异质结构进行了全面表征,以提高其光催化性能。最佳负载为4.0 wt% PdO的异质结构验证了其优越的性能,包括相对较高的比表面积150.19 m2g-1,光学带隙显著减小2.11 eV,并明显改善了电荷载流子分离。在可见光照射下,这种调整后的光催化剂表现出出色的活性,在45 min的更快时间内实现了水相Hg(II)离子的完全光还原。反应遵循准一级动力学,初始速率为29.06 µM min-1。催化剂还表现出非凡的稳定性,在五次循环后保持96% %的初始效率。这些研究结果表明,PdO/MoO3/SiO2纳米复合材料作为一种高性能的光催化剂在环境修复中具有实际应用价值。
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引用次数: 0
Competitive exchange model of aluminium ions and rare earth ions in the leaching of ion-adsorption type rare earth ores 离子吸附型稀土矿浸出过程中铝离子与稀土离子的竞争交换模型
IF 3.9 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2026-01-22 DOI: 10.1016/j.cherd.2026.01.037
Ying Huang , Sihai Luo , Bengen Hong , Yanliang Wang , Ping Long
Aluminium ions (Al³⁺) substantially influence the leaching of rare earth ions (REs). A competitive exchange model between Al³ ⁺ and REs was established to present a rational source-sink term for simulating the leaching process of ion-adsorption type rare earth ores. In this study, the yttrium ions (Y3 +) were used to represent REs. Isothermal equilibrium ion exchange batch experiments were conducted to investigate the impact of hydrogen ion (H⁺) concentration on the competitive exchange features between Al³ ⁺ and Y3+ by using magnesium sulphate solutions at varying pH levels to leach pure yttrium samples, pure aluminium samples and mixed Al-Y samples. The experiments investigated the impact of hydrogen ion (H⁺) concentration on the competitive exchange features between Al³ ⁺ and Y3+. The findings demonstrated that H⁺ concentration had an attenuating effect on the initial solid phase concentrations of both Y3+ and Al³ ⁺ before exchange. A two-parameter logistic function of H⁺ concentration could describe this attenuation coefficient. Then, integrating the Kerr model, a competitive exchange model for Al³ ⁺ and Y3+ was developed. Compared with the experimental data, all the determination coefficients exceeded 0.850, implying that the proposed mathematical model exhibited high accuracy.
铝离子(Al³+)对稀土离子(REs)的浸出有较大影响。建立了Al³ +与REs的竞争交换模型,为模拟离子吸附型稀土矿浸出过程提供了合理的源汇项。本研究以钇离子(Y3 +)代表res,采用不同pH值的硫酸镁溶液浸出纯钇样品、纯铝样品和混合Al- y样品,进行等温平衡离子交换批实验,研究氢离子(H +)浓度对Al³ +与Y3+竞争交换特性的影响。实验研究了氢离子(H +)浓度对Al³ +与Y3+之间竞争交换特性的影响。研究结果表明,H +浓度对交换前Y3+和Al³ ⁺的初始固相浓度都有衰减作用。H⁺浓度的双参数logistic函数可以描述这种衰减系数。然后,结合Kerr模型,建立了Al³ +与Y3+的竞争交换模型。与实验数据相比,所有决定系数均超过0.850,表明所提出的数学模型具有较高的精度。
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引用次数: 0
Evaluation of current processes for lithium carbonate production: Determination of key performance indicators 碳酸锂生产当前工艺的评价:关键性能指标的确定
IF 3.9 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2026-01-22 DOI: 10.1016/j.cherd.2026.01.044
Juan Ramiro Lezama , Sofía Micaela Guerrero Soler , Laura Emilia Giménez , Eleonora Erdmann
The objective of this study is to conduct a comparative analysis of the two principal technologies for obtaining lithium carbonate currently: evaporative processes versus Direct Lithium Extraction (DLE) based on selective adsorption with resins, to determine the production potential for each of them and the convenience of their implementation in salars. The mass and energy balances of each process are resolved, considering a common calculation base. Aspen Plus is used as a simulation tool to access the thermodynamic data of the chemical species involved. Key Performance Indicators (KPIs) are determined, including brine feed, water consumption, reagents used, and energy consumption per ton of lithium carbonate produced. In turn, the interaction between virgin brine and depleted brine is evaluated. Each method has advantages and disadvantages in terms of these indicators, which must be evaluated for each project. In addition, electrical energy consumption was included to compare the peak power demand between both processes.
The selection of these processes necessitates an evaluation of environmental, economic, and social factors to guarantee the sustainable advancement of the lithium sector in these areas. A better approach, from the production point of view, optimizing the factors mentioned, is to propose a combined scheme of both technologies.
本研究的目的是对目前获得碳酸锂的两种主要技术进行比较分析:蒸发法与基于树脂选择性吸附的直接锂萃取法(DLE),以确定每种技术的生产潜力及其在盐碱地实施的便利性。考虑到一个共同的计算基础,解决了每个过程的质量和能量平衡。Aspen Plus被用作模拟工具来访问所涉及的化学物种的热力学数据。确定了关键绩效指标(kpi),包括盐水进料、用水量、使用的试剂和生产每吨碳酸锂的能耗。然后,评估原生卤水和枯竭卤水之间的相互作用。就这些指标而言,每种方法都有优点和缺点,必须针对每个项目进行评估。此外,还包括电能消耗,以比较两个过程之间的峰值功率需求。这些工艺的选择需要对环境、经济和社会因素进行评估,以保证这些地区锂行业的可持续发展。从生产的角度来看,优化上述因素的更好方法是提出两种技术的组合方案。
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引用次数: 0
Attention-based neural network fusion for fouling prediction in Ethylene-Vinyl Acetate heat exchangers 基于注意力的神经网络融合在乙烯-醋酸乙烯换热器污垢预测中的应用
IF 3.9 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2026-01-21 DOI: 10.1016/j.cherd.2026.01.043
Yellam Naidu Kottavalasa , Andrea Battaglia , Giovanni Bevilacqua , Gianni Marchetti , Andrea Salfinger , Lauro Snidaro
Fouling, a phenomenon in which materials originating from the process fluid settle onto heat-exchange surfaces, significantly reduces thermal efficiency, increases energy consumption, and raises maintenance costs, particularly in high-pressure tubular reactors used for Ethylene-Vinyl Acetate (EVA) polymerization. Accurate, real-time prediction of fouling factor is therefore essential for optimizing operational efficiency, maintaining product quality, and preventing unplanned downtime. This paper proposes a novel attention-based neural network that integrates parallel Bidirectional Gated Recurrent Unit branches with a Multi-Head Attention mechanism to enhance temporal feature extraction and focus on the most informative time steps. In addition to the neural architecture, the framework incorporates Mutual Information-based feature selection stage to retain highly relevant process variables, derived from temperature, pressure, and flow rate measurements collected through sensors across the reactor system. The model was trained on six years of industrial EVA reactor data from Versalis. Experimental results demonstrate that the proposed model consistently outperforms baseline architectures, achieving the lowest test MSE (3.48×103), RMSE (4.17×102), and highest R2 (0.82) on normalized data. These improvements highlight the model ability to capture complex temporal dependencies and generalize under varying operational conditions. The proposed approach offers a scalable and effective solution for predictive fouling monitoring in polymerization heat exchangers, with potential applicability across other energy-intensive chemical manufacturing processes.
结垢是一种源自工艺流体的物质沉降到热交换表面的现象,它显著降低了热效率,增加了能耗,并增加了维护成本,特别是在用于乙烯-醋酸乙烯酯(EVA)聚合的高压管式反应器中。因此,准确、实时地预测结垢系数对于优化运行效率、保持产品质量和防止意外停机至关重要。本文提出了一种新的基于注意力的神经网络,该网络将并行双向门控循环单元分支与多头注意力机制相结合,以增强时间特征提取并关注最具信息量的时间步长。除了神经结构外,该框架还结合了基于互信息的特征选择阶段,以保留高度相关的过程变量,这些过程变量来自通过反应器系统中的传感器收集的温度、压力和流量测量。该模型是根据来自Versalis的6年工业EVA反应器数据进行训练的。实验结果表明,所提出的模型始终优于基线架构,在标准化数据上实现了最低的测试MSE (3.48×10−3)、RMSE (4.17×10−2)和最高的R2(0.82)。这些改进突出了模型捕获复杂时间依赖性和在不同操作条件下进行泛化的能力。所提出的方法为聚合热交换器的预测结垢监测提供了一种可扩展且有效的解决方案,并可能适用于其他能源密集型化学制造过程。
{"title":"Attention-based neural network fusion for fouling prediction in Ethylene-Vinyl Acetate heat exchangers","authors":"Yellam Naidu Kottavalasa ,&nbsp;Andrea Battaglia ,&nbsp;Giovanni Bevilacqua ,&nbsp;Gianni Marchetti ,&nbsp;Andrea Salfinger ,&nbsp;Lauro Snidaro","doi":"10.1016/j.cherd.2026.01.043","DOIUrl":"10.1016/j.cherd.2026.01.043","url":null,"abstract":"<div><div>Fouling, a phenomenon in which materials originating from the process fluid settle onto heat-exchange surfaces, significantly reduces thermal efficiency, increases energy consumption, and raises maintenance costs, particularly in high-pressure tubular reactors used for Ethylene-Vinyl Acetate (EVA) polymerization. Accurate, real-time prediction of fouling factor is therefore essential for optimizing operational efficiency, maintaining product quality, and preventing unplanned downtime. This paper proposes a novel attention-based neural network that integrates parallel Bidirectional Gated Recurrent Unit branches with a Multi-Head Attention mechanism to enhance temporal feature extraction and focus on the most informative time steps. In addition to the neural architecture, the framework incorporates Mutual Information-based feature selection stage to retain highly relevant process variables, derived from temperature, pressure, and flow rate measurements collected through sensors across the reactor system. The model was trained on six years of industrial EVA reactor data from Versalis. Experimental results demonstrate that the proposed model consistently outperforms baseline architectures, achieving the lowest test MSE (<span><math><mrow><mn>3</mn><mo>.</mo><mn>48</mn><mo>×</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></math></span>), RMSE (<span><math><mrow><mn>4</mn><mo>.</mo><mn>17</mn><mo>×</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>2</mn></mrow></msup></mrow></math></span>), and highest <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> (0.82) on normalized data. These improvements highlight the model ability to capture complex temporal dependencies and generalize under varying operational conditions. The proposed approach offers a scalable and effective solution for predictive fouling monitoring in polymerization heat exchangers, with potential applicability across other energy-intensive chemical manufacturing processes.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"227 ","pages":"Pages 23-34"},"PeriodicalIF":3.9,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146015854","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
Silver-based deep eutectic solvent for the extraction and separation of 1-octene/n-octane: Insights into the underlying molecular mechanism 银基深共熔溶剂对1-辛烯/正辛烷的萃取与分离:潜在分子机制的洞察
IF 3.9 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2026-01-20 DOI: 10.1016/j.cherd.2026.01.042
Kang Zhao , Shasha Zhao , Zhen Liu
Addressing the core challenge of insufficient selectivity of traditional solvents in the separation of long-chain α-olefins/alkanes (such as 1-octene/n-octane), this study innovatively constructs a silver trifluoromethanesulfonate (AgOTf)/N,N-dimethylformamide (DMF) deep eutectic solvent (DES) system based on the “Ag⁺-DMF” synergistic coordination and hydrogen bonding network mechanism for the extraction and separation of 1-octene/n-octane. Through systematic optimization of process parameters, under conditions of 273 K, an alkane/olefin mass ratio of 2:1, water content of 5 %, HBA:HBD molar ratio of 1:2, and a rotational speed of 200 rpm, the system achieves a remarkable separation selectivity of 27.23 for 1-octene/n-octane. Quantum chemical calculations based on Density Functional Theory (DFT) indicate that 1-octene is specifically captured by AgOTf/DMF through strong Ag⁺-π bonding (binding energy: −45.0 kJ/mol) and OTf∙∙∙H-C hydrogen bonding. In contrast, n-octane exhibits only weak non-specific interactions with AgOTf/DMF (binding energy: −0.2 kJ/mol), resulting in a binding energy difference of 44.8 kJ/mol, which overcomes the separation bottleneck caused by the similar physicochemical properties of olefins and alkanes. Additionally, the DES demonstrates excellent low-temperature regenerability and cyclic stability, offering a promising new solvent solution for industrial olefin/alkane separation.
针对传统溶剂在分离长链α-烯烃/烷烃(如1-辛烯/正辛烷)时选择性不足的核心挑战,本研究基于“Ag + -DMF”协同配位和氢键网络机制,创新构建了三氟甲磺酸银(AgOTf)/N,N-二甲基甲酰胺(DMF)深度共晶溶剂(DES)体系,用于1-辛烯/正辛烷的萃取分离。通过系统优化工艺参数,在273 K、烷烃/烯烃质量比为2:1、水含量为5 %、HBA:HBD摩尔比为1:2、转速为200 rpm的条件下,系统对1-辛烯/正辛烷的分离选择性达到了27.23。基于密度函数理论(DFT)的量子化学计算表明,AgOTf/DMF通过强Ag + -π键(结合能:−45.0 kJ/mol)和OTf⁻∙∙∙H-C氢键特异性捕获1-辛烯。而正辛烷与AgOTf/DMF仅表现出弱的非特异性相互作用(结合能:−0.2 kJ/mol),导致两者的结合能差达44.8 kJ/mol,克服了烯烃与烷烃相似的物理化学性质造成的分离瓶颈。此外,DES还具有良好的低温可再生性和循环稳定性,为工业烯烃/烷烃分离提供了一种有前景的新型溶剂解决方案。
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引用次数: 0
A systematic hybrid mechanistic–machine learning framework for catalytic reactor modelling and computational validation using CO oxidation 用于催化反应器建模和CO氧化计算验证的系统混合机械-机器学习框架
IF 3.9 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2026-01-20 DOI: 10.1016/j.cherd.2026.01.039
Ebenezer Aquisman Asare , Dickson Abdul-Wahab , Elsie Effah Kaufmann , Rafeah Wahi , Zainab Ngaini , Abigail Ampadu
Accurately forecasting the fast transients that govern catalytic reactors remains difficult because first-principles ordinary differential equation (ODE) models neglect unmodelled heat and mass-transfer effects and therefore perform poorly (baseline CO-oxidation rate R2 = –0.231). For the above reason, this study presents a systematic hybrid mechanistic machine-learning (ML) framework that couples a physically rigorous CSTR model with data-driven residual learning to close these physics gaps. A six-factor design of experiments generated 500 operating scenarios, and after simulation, quality screening, derivative estimation, and residual/outlier filtering, the residual-learning dataset comprised approximately 33,096 usable samples. Five regressors (XGBoost, LightGBM, SVR, MLP and sparse Gaussian-process regression) were hyperparameter-tuned with Optuna and blended through weight optimisation. Uncertainty was propagated with GP posterior bands and inter-model disagreement. The optimised ensemble lifted test-set accuracy to R2 = 0.755, RMSE = 0.006 mol·m3·s1 and MdAPE = 93 % a dramatic recovery over the mechanistic baseline. ±2σ GP bands captured 94 % of unseen points, providing actionable epistemic bounds. Performance deteriorated by only ∼21 % when 5 % Gaussian sensor noise was injected, confirming robustness for on-line use. By modularising experiment design, physics-guided feature engineering, automated model selection, and calibrated uncertainty quantification, this workflow delivers interpretable, real-time-capable surrogate models within the modelled operating envelope, outperforming pure ODE and single-model ML baselines. The protocol is transferable to other catalytic systems and establishes a reproducible path toward uncertainty-aware reactor optimisation and control.
由于第一性原理常微分方程(ODE)模型忽略了未建模的传热传质效应,因此准确预测控制催化反应器的快速瞬态仍然很困难,因此表现不佳(基线co氧化率R2 = -0.231)。基于上述原因,本研究提出了一个系统的混合机械机器学习(ML)框架,该框架将物理上严格的CSTR模型与数据驱动的残差学习相结合,以缩小这些物理差距。六因素实验设计生成500个操作场景,经过模拟、质量筛选、导数估计和残差/离群值过滤,残差学习数据集包含约33,096个可用样本。五个回归量(XGBoost、LightGBM、SVR、MLP和稀疏高斯过程回归)使用Optuna进行超参数调优,并通过权重优化进行混合。不确定性通过GP后带和模型间不一致来传播。优化后的集合将测试集精度提高到R2 = 0.755, RMSE = 0.006 mol·m−3·s−1,MdAPE = 93%,比机械基线有显著的恢复。±2σ GP波段捕获了94%的未见点,提供了可操作的认知边界。当注入5%高斯传感器噪声时,性能仅下降~ 21%,证实了在线使用的鲁棒性。通过模块化实验设计、物理指导的特征工程、自动模型选择和校准的不确定性量化,该工作流程在建模的操作范围内提供可解释的、实时的代理模型,优于纯ODE和单模型ML基线。该方案可转移到其他催化系统,并建立了一个可重复的路径,以不确定性感知反应器优化和控制。
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引用次数: 0
Modeling kinetics of wollastonite dissolution and carbonate precipitation in multi-ionic brine systems 多离子盐水体系中硅灰石溶解和碳酸盐沉淀动力学模拟
IF 3.9 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2026-01-20 DOI: 10.1016/j.cherd.2026.01.040
Harwin Sandhu, Sangeeta Garg, Shashikant Yadav
Mineral carbonation using slurry-phase wollastonite (CaSiO3) composed of suspended micron-scale particles represents an effective strategy for permanent CO2 sequestration, yet the interactions among ionic strength, dissolution–precipitation kinetics, and surface passivation remain poorly constrained. This study presents a mechanistic thermodynamic–kinetic model integrating CO2 solubility, wollastonite dissolution, and silica and calcium carbonate precipitation in multi-ionic brines (NaCl, MgCl2, CaCl2, Na2SO4) relevant to deep saline aquifers. CO2 solubility decreases across all brines due to salting-out, most strongly in Mg2+ - and SO42--rich systems, while wollastonite buffering enhances uptake with solubility ratio coefficients up to 1.95. Dissolution rates peak near pH 3–4 but drop by more than 30 % in Mg2+ -rich solutions because of competitive adsorption of Mg2+ with Ca2+ at wollastonite surface sites, which suppresses Ca2+ release. In sulfate-rich brines, SO42- primarily regulates Ca2+ activity through sulfate complexation and potential gypsum buffering, thereby delaying the onset of CaCO3 supersaturation and precipitation. Silica precipitation evolves from reaction-controlled polymerization to diffusion-limited growth as passivating layers develop. CaCO3 precipitation is triggered only at high supersaturation, limited by CO32- transport and diffusional barriers at elevated pH. Ion flux declines by over 95 % once silica layers approach ∼500 nm, corresponding to a sharp reduction in effective diffusivity and permeability due to pore-space occlusion by secondary mineral phases. Interactions between silica layers and co-precipitating minerals, such as carbonates, modulate layer porosity and diffusivity, suggesting that insights from shale reservoirs can refine predictions of passivation and reaction–diffusion transitions in engineered brine systems. The model predicts a progressive decrease in porosity and transport capacity as silica and CaCO3 layers thicken, providing a quantitative mechanistic link between mineral reprecipitation, evolving transport properties, and the observed transition from reaction-controlled to diffusion-limited carbonation.
使用悬浮微米级颗粒组成的硅灰石(CaSiO3)进行矿物碳化是一种永久封存二氧化碳的有效策略,但离子强度、溶解-沉淀动力学和表面钝化之间的相互作用仍然受到很差的约束。本研究建立了与深盐含水层相关的多离子盐水(NaCl, MgCl2, CaCl2, Na2SO4)中CO2溶解度、硅灰石溶解、二氧化硅和碳酸钙沉淀的力学热力学-动力学模型。由于盐析,CO2溶解度在所有卤水中都降低,在Mg2+ -和SO42-富体系中最明显,而硅灰石缓冲增强了吸收,溶解度比系数高达1.95。溶解速率在pH值3-4附近达到峰值,但在富含Mg2+的溶液中下降了30 %以上,这是因为钙离子在硅灰石表面位置与Mg2+竞争性吸附,抑制了Ca2+的释放。在富硫酸盐盐水中,SO42-主要通过硫酸盐络合作用和潜在的石膏缓冲作用调节Ca2+活性,从而延缓CaCO3过饱和和沉淀的发生。随着钝化层的发展,二氧化硅沉淀从反应控制聚合演变为扩散限制生长。CaCO3的沉淀仅在高过饱和时触发,受高ph下CO32-传输和扩散屏障的限制。一旦二氧化硅层接近~ 500 nm,离子通量下降95% %以上,对应于由于次级矿物相遮挡孔隙空间而导致的有效扩散率和渗透率急剧下降。二氧化硅层与共沉淀矿物(如碳酸盐)之间的相互作用调节了层的孔隙度和扩散系数,这表明页岩储层的见解可以改进工程盐水系统中钝化和反应扩散转变的预测。该模型预测,随着二氧化硅和碳酸钙层的增厚,孔隙率和输运能力会逐渐降低,为矿物再沉淀、输运性质的演变以及观察到的从反应控制到扩散限制碳酸化的转变提供了定量机制联系。
{"title":"Modeling kinetics of wollastonite dissolution and carbonate precipitation in multi-ionic brine systems","authors":"Harwin Sandhu,&nbsp;Sangeeta Garg,&nbsp;Shashikant Yadav","doi":"10.1016/j.cherd.2026.01.040","DOIUrl":"10.1016/j.cherd.2026.01.040","url":null,"abstract":"<div><div>Mineral carbonation using slurry-phase wollastonite (CaSiO<sub>3</sub>) composed of suspended micron-scale particles represents an effective strategy for permanent CO<sub>2</sub> sequestration, yet the interactions among ionic strength, dissolution–precipitation kinetics, and surface passivation remain poorly constrained. This study presents a mechanistic thermodynamic–kinetic model integrating CO<sub>2</sub> solubility, wollastonite dissolution, and silica and calcium carbonate precipitation in multi-ionic brines (NaCl, MgCl<sub>2</sub>, CaCl<sub>2</sub>, Na<sub>2</sub>SO<sub>4</sub>) relevant to deep saline aquifers. CO<sub>2</sub> solubility decreases across all brines due to salting-out, most strongly in Mg<sup>2+</sup> - and SO<sub>4</sub><sup>2-</sup>-rich systems, while wollastonite buffering enhances uptake with solubility ratio coefficients up to 1.95. Dissolution rates peak near pH 3–4 but drop by more than 30 % in Mg<sup>2+</sup> -rich solutions because of competitive adsorption of Mg<sup>2+</sup> with Ca<sup>2+</sup> at wollastonite surface sites, which suppresses Ca<sup>2+</sup> release. In sulfate-rich brines, SO<sub>4</sub><sup>2-</sup> primarily regulates Ca<sup>2+</sup> activity through sulfate complexation and potential gypsum buffering, thereby delaying the onset of CaCO<sub>3</sub> supersaturation and precipitation. Silica precipitation evolves from reaction-controlled polymerization to diffusion-limited growth as passivating layers develop. CaCO<sub>3</sub> precipitation is triggered only at high supersaturation, limited by CO<sub>3</sub><sup>2-</sup> transport and diffusional barriers at elevated pH. Ion flux declines by over 95 % once silica layers approach ∼500 nm, corresponding to a sharp reduction in effective diffusivity and permeability due to pore-space occlusion by secondary mineral phases. Interactions between silica layers and co-precipitating minerals, such as carbonates, modulate layer porosity and diffusivity, suggesting that insights from shale reservoirs can refine predictions of passivation and reaction–diffusion transitions in engineered brine systems. The model predicts a progressive decrease in porosity and transport capacity as silica and CaCO<sub>3</sub> layers thicken, providing a quantitative mechanistic link between mineral reprecipitation, evolving transport properties, and the observed transition from reaction-controlled to diffusion-limited carbonation.</div></div>","PeriodicalId":10019,"journal":{"name":"Chemical Engineering Research & Design","volume":"227 ","pages":"Pages 54-76"},"PeriodicalIF":3.9,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026066","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
Experimental investigation on the motion behavior of boiler bottom slag in heat exchanger with radial pipes 径向管换热器锅炉底渣运动特性的实验研究
IF 3.9 3区 工程技术 Q2 ENGINEERING, CHEMICAL Pub Date : 2026-01-19 DOI: 10.1016/j.cherd.2026.01.038
Yuxiu Zhang , Xiangang Liu , Lei Wang , Bingzheng Song , Haibo Gao , Jiaqi Zong , Yongqi Liu , Xiaofei Pan , Yanxia Wang
The motion behavior of boiler bottom slag in a heat exchanger with radial pipes was experimentally investigated to enhance waste heat recovery. The results indicate that increasing rotational speed from 1.5 to 5.5 rpm leads to a steady rise in the repose angle, accompanied by an increase in active zone thickness from 10 mm to 30 mm and a reduction in passive zone thickness from 55 mm to 35 mm. As the filling ratio increases from 8 % to 24 %, both upper and lower repose angles show a moderate upward trend, while the thicknesses of the active and passive zones increase simultaneously. In contrast, raising the number of radial pipes from 0 to 8 enhances boiler bottom slag agitation, resulting in larger repose angles, a thicker active zone from 10 mm to 23 mm, and a thinner passive zone from 58 mm to 46 mm. Pearson correlation analysis reveals that, for the repose angle, rotational speed (r ≈ 0.95) and the number of radial pipes (r ≈ 0.94) are the dominant factors, both far exceeding the influence of filling ratio (r < 0.9). Regarding the zone thicknesses, the number of radial pipes shows the strongest positive correlation with the active zone (r ≈ 0.99) and a corresponding strong negative correlation with the passive zone (r ≈ -0.99), followed by the influence of rotational speed, while the filling ratio again exhibits a secondary role. These findings establish radial pipes as dual-functional elements that simultaneously enhance heat transfer surface and actively modify granular flow, providing quantitative guidelines for optimizing exchanger design.
为提高余热回收效率,对径向管换热器中锅炉底渣的运动特性进行了实验研究。结果表明,转速从1.5转/分增加到5.5 转/分,可导致休止角稳步上升,同时主动区厚度从10 mm增加到30 mm,被动区厚度从55 mm减少到35 mm。充填率从8 %增加到24 %,上休止角和下休止角均呈中等上升趋势,活动带和被动带厚度同时增加。相反,将径向管数从0根增加到8根,有利于锅炉底渣的搅拌,使炉渣的休止角增大,活跃区从10 mm增厚到23 mm,被动区从58 mm减薄到46 mm。Pearson相关分析表明,对于休止角,转速(r ≈ 0.95)和径向管数(r ≈ 0.94)是主导因素,均远远超过填充率(r <; 0.9)的影响。在区厚方面,径向管数与主动区呈正相关最强(r ≈ 0.99),与被动区负相关最强(r ≈ -0.99),其次是转速的影响,填充率的影响次之。这些研究结果表明,径向管具有双重功能,可以同时增强传热表面并积极改变颗粒流动,为优化换热器设计提供了定量指导。
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Chemical Engineering Research & Design
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