Canadian Journal of Chemical Engineering最新文献_第7页

Novel methodology to couple decline curve analysis with CFD reservoir simulations for complex shale gas reservoirs 将复杂页岩气藏的递减曲线分析与 CFD 储层模拟相结合的新方法

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2024-06-10 DOI: 10.1002/cjce.25359

Syed Oubee Khadri, Mohammed J. Al-Marri, Mustafa Nasser, Fadhil Sadooni, Ezeddin Shirif, Ibnelwaleed A. Hussein

{"title":"Novel methodology to couple decline curve analysis with CFD reservoir simulations for complex shale gas reservoirs","authors":"Syed Oubee Khadri, Mohammed J. Al-Marri, Mustafa Nasser, Fadhil Sadooni, Ezeddin Shirif, Ibnelwaleed A. Hussein","doi":"10.1002/cjce.25359","DOIUrl":"10.1002/cjce.25359","url":null,"abstract":"Shale reservoirs are highly complex and are difficult to study using conventional reservoir simulation tools. This study introduces a novel methodology for estimating production from complex shale gas reservoirs by coupling decline curve analysis (DCA) with computational fluid dynamics (CFD) simulations. The proposed method uses exponential DCA to analyze production data from a dual porosity–permeability shale gas transport model. These complexities include fracture characteristics, geomechanical properties, nanopore confinement effects, and multiple flow mechanisms contributing to the total production performance. The shale gas transport model is validated through historical production data from Marcellus shale. The new methodology also tests fracture characteristics. It shows that increased porosity and permeability will increase the recoverable reserves but will have varying effects on the decline rate. The paper demonstrates the advantages of the proposed methodology over conventional reservoir simulation tools. It provides insights into the factors affecting shale gas production performance through the inclusion of the complexities of an unconventional shale gas reservoir. The paper provides a proof of concept on the particular reservoir of which the field data is provided—Barnett and Marcellus Shale.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 12","pages":"4401-4415"},"PeriodicalIF":1.6,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjce.25359","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141364637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designing a heavy metal electrochemical sensor for Pb detection in water—A generalized approach for electrochemical sensing using low-cost materials 设计用于检测水中铅的重金属电化学传感器--利用低成本材料进行电化学传感的通用方法

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2024-06-10 DOI: 10.1002/cjce.25353

Singuru Rajesh, Adhidesh S. Kumawat

{"title":"Designing a heavy metal electrochemical sensor for Pb detection in water—A generalized approach for electrochemical sensing using low-cost materials","authors":"Singuru Rajesh, Adhidesh S. Kumawat","doi":"10.1002/cjce.25353","DOIUrl":"10.1002/cjce.25353","url":null,"abstract":"This work attempts to design an elemental method for detecting heavy metals in water. The presence of heavy metals in water is a critical issue that needs a check at every level of water consumption. To facilitate the checking, a simple method needs to be identified and developed. Electrochemical sensing is essentially a surface phenomenon and requires a higher surface area for greater accuracy and reliability. We have attempted to use a readily available Cu wire for detecting Pb to 50 μM concentration with 90% reliability. It is important to note that the sensing electrode (Cu wire) utilized for this work has been employed in a facile manner that enhances the ease of use for heavy metal electrochemical sensor. Moreover, post-usage, the replacement of sensor material for subsequent usage is easy. The low cost and simplicity of the method make it ideal for resource-constrained environments and portability, resulting in increasing the accessibility of water quality monitoring. The study examines the reliability of a low-cost electrode for Pb concentration detection in water samples to the concentration of 50 μM using a simple low-cost electrochemical sensor arrangement.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 12","pages":"4203-4215"},"PeriodicalIF":1.6,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141364482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Decoupling pyrolysis and combustion of organic powders to determine the laminar flame speed 将有机粉末的热解和燃烧解耦以确定层流火焰速度

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2024-06-10 DOI: 10.1002/cjce.25362

Matteo Pietraccini, Audrey Santandrea, Pierre-Alexandre Glaude, Anthony Dufour, Olivier Dufaud

{"title":"Decoupling pyrolysis and combustion of organic powders to determine the laminar flame speed","authors":"Matteo Pietraccini, Audrey Santandrea, Pierre-Alexandre Glaude, Anthony Dufour, Olivier Dufaud","doi":"10.1002/cjce.25362","DOIUrl":"10.1002/cjce.25362","url":null,"abstract":"Determining the laminar flame speed of dusts is far from straightforward. A strong dependency on the experimental setup and the data treatment's high complexity makes it a true challenge. This work compares three complementary experimental setups to measure the laminar flame speed of organic dust (here, cellulose): a modified Hartmann tube, a 20 L sphere, and a micro-fluidized bed (MFB) burner. The first two consider the flame propagation phenomenon in its globality, which means that numerous steps are involved simultaneously (particle heating, pyrolysis, oxidation, radiative transfer, flame stretching), while the third one decouples pyrolysis and combustion, to focus mainly on the oxidation rate. An MFB was conceived to generate pyrolysis products and burn them in a laminar flame. Unstretched flame velocities determined with the first two setups were consistent and equal to 22.0 and 26.6 cm ∙ s−1, respectively. Using Silvestrini's equation, values ranging between 14.0 and 33.4 cm ∙ s−1 were obtained according to the dust concentration. With the MFB burner, the flame speed was much higher (135–155 cm ∙ s−1), due to the higher temperature of the fresh mixture and the fact that only the oxidation of the pyrolysis gases is considered. A numerical simulation (Chemkin) confirmed these results since the range 135 to 231 cm ∙ s−1 was obtained for equivalence ratios of 0.6 and 1.2, respectively. The discrepancy between the laminar flame speed determined in the sphere or in the tube and that obtained in the MFB highlights the significant influence of particle heating and pyrolysis during a dust explosion.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 10","pages":"3345-3357"},"PeriodicalIF":1.6,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141361362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Issue Highlights 发行亮点

IF 2.1 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2024-06-06 DOI: 10.1002/cjce.24993

引用次数: 0

Mixed convective viscous dissipative flow of Casson hybrid nanofluid with variable thermal conductivity at the stagnation zone of a rotating sphere 具有可变导热系数的卡松混合纳米流体在旋转球体停滞区的混合对流粘性耗散流动

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2024-06-05 DOI: 10.1002/cjce.25352

Tanvi Singla, Bhuvaneshvar Kumar, Sapna Sharma

{"title":"Mixed convective viscous dissipative flow of Casson hybrid nanofluid with variable thermal conductivity at the stagnation zone of a rotating sphere","authors":"Tanvi Singla, Bhuvaneshvar Kumar, Sapna Sharma","doi":"10.1002/cjce.25352","DOIUrl":"10.1002/cjce.25352","url":null,"abstract":"Mixed convection flows across the revolving bodies have eminent applications in science and technology, such as fibre coating, polymer deposition, centrifugal blood pumps, rotatory machinery, and so forth. In the current work, magnetohydrodynamic (MHD) flow and heat transfer characteristics of Casson hybrid nanofluid (Ag/MgO as nanoparticles) over the rotating sphere at the stagnation zone are being studied. Moreover, an analysis of heat transmission is conducted by considering the influence of thermal radiation, temperature-dependent thermal conductivity, magnetic field, and viscous dissipation. The relevant partial differential equations are reformed into ordinary differential equations by appropriate transformations, which are solved using the successive linearization method (SLM). The thermal field, velocity components in x and z directions, heat transfer rate, and skin friction coefficient are computed for various physical quantities like rotation parameter mixed convection parameter, radiation parameter, Eckert number, Casson parameter, magnetic parameter, variable thermal conductivity parameter, and so forth. The current findings align well with the literature in a limiting sense. Thermal enhancement in hybrid nanofluid is observed for the viscous dissipation parameter (Ec), thermal conductivity parameter (<math>\u0000 <mi>ε</mi></math>), and radiation parameter (Rd). The degree of heat transfer rises from 12.8% to 20% when the Casson parameter's value (<math>\u0000 <msub>\u0000 <mi>β</mi>\u0000 <mn>0</mn>\u0000 </msub></math>) increases. Also, a decrease of approximately 33% is depicted between the peak values of the velocity magnitude with an increase in rotation parameter.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 11","pages":"3879-3895"},"PeriodicalIF":1.6,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141383151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

An investigation on hydrate prediction and inhibition: An industrial case study 水合物预测和抑制研究：工业案例研究

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2024-06-05 DOI: 10.1002/cjce.25357

Nejat Rahmanian, Nejmi Söyler, Farai Munashe Wande, Hamed Hashemi

{"title":"An investigation on hydrate prediction and inhibition: An industrial case study","authors":"Nejat Rahmanian, Nejmi Söyler, Farai Munashe Wande, Hamed Hashemi","doi":"10.1002/cjce.25357","DOIUrl":"10.1002/cjce.25357","url":null,"abstract":"This investigation reports the first study to predict natural gas hydrate formation using both Aspen HYSYS® and HydraFlash software for various gas compositions and thermodynamic inhibitors (monoethylene glycol [MEG] concentrations at 10, 20, 30, and 40 wt.% and methanol concentrations at 10 and 20 wt.%). The simulated predictions are compared with the results of the experimental data in the literature. It has been shown that HydraFlash software can accurately predict hydrate formation conditions for a given industrial case, without having to carry out costly experimental work. This work also evaluated the effect of inhibitors and it appears that inhibitor type and concentration are determined according to condition of gas composition. MEG is consequently selected as the most ideal hydrate inhibitor for the industrial case. This also was confirmed through COSMO-RS studies in which the sigma profile and sigma potential of the considered inhibitors were obtained and presented using density functional (DFT) calculations to verify the hydrogen bonding affinities of the inhibitors to water molecules. HydraFlash was utilized to predict the dissociation conditions of hydrates under the influence of a high concentration of MEG inhibition, reaching up to 40 wt.% at 313 K and a pressure of 311.1 bar. Finally, it is shown that both software packages are quite accurate and useful tools for the prediction of hydrate for simple systems. However, HydraFlash can simulate more complex systems, including different types of salts at higher pressures. Investigation results indicate insightful guidance for accurately predicting hydrate dissociation under simulated conditions.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 1","pages":"396-409"},"PeriodicalIF":1.6,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjce.25357","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141384459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Classification of pitting corrosion damage in process facilities using supervised machine learning 利用监督机器学习对加工设施中的点状腐蚀损伤进行分类

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2024-06-04 DOI: 10.1002/cjce.25355

Parth Patel, Vahid Aryai, Ehsan Arzaghi, Hesam Kafian, Rouzbeh Abbassi, Vikram Garaniya

{"title":"Classification of pitting corrosion damage in process facilities using supervised machine learning","authors":"Parth Patel, Vahid Aryai, Ehsan Arzaghi, Hesam Kafian, Rouzbeh Abbassi, Vikram Garaniya","doi":"10.1002/cjce.25355","DOIUrl":"10.1002/cjce.25355","url":null,"abstract":"Corrosion is widely known to be a major cause of the failures in process facilities. Prediction of corrosion damage is therefore essential for industries to manage the availability of their assets. This research aims to investigate the application of supervised machine learning methods for the classification of pitting corrosion damage. Several machine learning classifiers, namely ensemble methods, support vector machine (SVM), K-nearest neighbours, and the decision tree are used to classify the extent of pitting corrosion damage in corroded steel samples. To simulate the corrosion of the steel samples, a series of laboratory experiments were conducted. After processing the results using appropriate statistical methods, the corrosion data was used to train the machine learning models. The trained models can predict the class of corrosion damage with acceptable accuracy using the material and environmental specifications of the samples. Additionally, a discussion on the selection of machine learning techniques which classify corrosion damage using a risk-based approach is provided. With their optimal accuracy and lower risk of misclassification, the SVM and AdaBoost models perform better than the other studied models.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 1","pages":"153-169"},"PeriodicalIF":1.6,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjce.25355","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141387610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical and experimental study of homogenization mechanism of high shear rotor-stator mixer 高剪切转子-定子混合器均质机理的数值和实验研究

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2024-05-29 DOI: 10.1002/cjce.25351

Jiaqiong Wang, Yusha Huang, Ruijie Zhang, Ling Zhou

{"title":"Numerical and experimental study of homogenization mechanism of high shear rotor-stator mixer","authors":"Jiaqiong Wang, Yusha Huang, Ruijie Zhang, Ling Zhou","doi":"10.1002/cjce.25351","DOIUrl":"10.1002/cjce.25351","url":null,"abstract":"Utilizing computational fluid dynamics (CFD) for analytical purposes, this study developed a fundamental model employing the multiple reference frame (MRF) method, facilitated by the CFX simulation platform. The investigation conducted numerical simulations of the flow field within the rotor-stator assembly of a high shear mixer, guided by the Navier–Stokes equations and the standard k-ε turbulence model. To quantify the homogenization efficacy of the high shear mixer under scenarios with and without energy consumption considerations, the study introduced two distinct parameters: the mixing index (γ) and the energy ratio mixing index (λ). The impact of structural parameters such as the number of rotor-stator teeth, radial clearance, and tooth apex-base axial clearance on the local flow characteristics—velocity, pressure, turbulent kinetic energy, shear rate distribution, net power consumption, and the specified indices—was meticulously analyzed. This analysis aimed to identify the optimal structural configurations for the mixer, considering energy efficiency and mixing effectiveness, and to determine the relative influence of these structural variations on the mixing index (γ) and the energy ratio mixing index (λ).","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 12","pages":"4216-4229"},"PeriodicalIF":1.6,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141193827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Dynamic scenario deduction analysis for hazardous chemical accident based on CNN-LSTM model with attention mechanism 基于注意力机制的 CNN-LSTM 模型的危险化学品事故动态情景演绎分析

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2024-05-28 DOI: 10.1002/cjce.25318

Guohua Chen, Xu Ding, Xiaoming Gao, Xiaofeng Li, Lixing Zhou, Yimeng Zhao, Hongpeng Lv

{"title":"Dynamic scenario deduction analysis for hazardous chemical accident based on CNN-LSTM model with attention mechanism","authors":"Guohua Chen, Xu Ding, Xiaoming Gao, Xiaofeng Li, Lixing Zhou, Yimeng Zhao, Hongpeng Lv","doi":"10.1002/cjce.25318","DOIUrl":"10.1002/cjce.25318","url":null,"abstract":"The evolution of hazardous chemical accidents (HCAs) is characterized by uncertainty and complexity. It is challenging for decision-makers to expeditiously adapt emergency response plans in response to dynamically changing scenario states. This study proposes a data-driven methodology for constructing accident scenarios and develops a novel hybrid deep learning model for scenario deduction analysis. This model aids in accurately predicting the evolution of HCAs, enabling emergency responders to prepare and implement targeted interventions proactively. First, a framework for constructing an accident scenario database is presented, based on the time-sequential characteristics of accident progression. This framework employs a data-driven approach to describe the evolution process of accident scenarios. Second, a deep learning model (CNN-LSTM-Attention) that integrates convolutional neural network (CNN), long short-term memory (LSTM), and attention mechanism (AM) is developed for accident scenario deduction analysis. Finally, to illustrate practical application, a scenario database for HCAs is established. A major HCA case study is conducted to demonstrate the ability of this model to analyze various scenarios, thereby improving emergency decision-making efficiency. Compared with algorithms such as CNN, LSTM, and CNN-LSTM, the prediction accuracy of this method ranges from 86% to 93%, signifying an improvement of over 7%. This work provides a reliable framework for supporting decision-making in emergency management.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 12","pages":"4281-4296"},"PeriodicalIF":1.6,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141198209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Conversion of tailings solvent recovery unit (TSRU) by-products into activated carbon-zeolite composites: Impact of fusion pre-treatment on porosity and CO2 capture 将尾矿溶剂回收装置（TSRU）副产品转化为活性炭-沸石复合材料：熔融预处理对孔隙率和二氧化碳捕获的影响

IF 1.6 4区工程技术

Canadian Journal of Chemical Engineering Pub Date : 2024-05-27 DOI: 10.1002/cjce.25348

Mohammad Hashem Sedghkerdar, Umang Patel, Nader Mahinpey

{"title":"Conversion of tailings solvent recovery unit (TSRU) by-products into activated carbon-zeolite composites: Impact of fusion pre-treatment on porosity and CO2 capture","authors":"Mohammad Hashem Sedghkerdar, Umang Patel, Nader Mahinpey","doi":"10.1002/cjce.25348","DOIUrl":"10.1002/cjce.25348","url":null,"abstract":"Currently, the oil sands industry is producing millions of tons of tailings by-products from the tailings solvent recovery unit (TSRU) into the tailings ponds. TSRU tailings (TTs) consist of water, asphaltene, and minerals, including silica and alumina mixtures. The oil sands sector has expanded efforts to discover solutions to remove the tailings ponds due to growing public concern about the environmental effects of these ponds and stiffer government rules on their disposal. Therefore, this report studied the effect of the different methods for the conversion of the TTs into the activated carbon-zeolite composite. The TTs were treated with activation followed by hydrothermal, either with or without fusion with NaOH at 800°C for 1 h as a pre-treatment. Zeolite Na-P, zeolite A, and zeolite X were identified during the different characterizations, depending on the pre-treatment of the fusion. The result showed that the fusion with NaOH before the hydrothermal reaction was effective as it increased the porosity and adsorption of the composite. The CO2 capture capacity of the product before fusion was 0.19 mmol/g, and after fusion, it was improved to 0.486 mmol/g.","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"102 12","pages":"4183-4192"},"PeriodicalIF":1.6,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141193901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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