The Canadian Journal of Chemical Engineering最新文献_第8页

A non‐ionic green surfactant extracted from the Anabasis setifera plant for improving bulk properties of CO2‐foam in the process of enhanced oil recovery from carbonate reservoirs 一种从 Anabasis setifera 植物中提取的非离子绿色表面活性剂，用于改善碳酸盐岩油藏强化采油过程中二氧化碳泡沫的体积特性

The Canadian Journal of Chemical Engineering Pub Date : 2024-07-11 DOI: 10.1002/cjce.25401

Iman Nowrouzi, Amir H. Mohammadi, Abbas Khaksar Manshad

{"title":"A non‐ionic green surfactant extracted from the Anabasis setifera plant for improving bulk properties of CO2‐foam in the process of enhanced oil recovery from carbonate reservoirs","authors":"Iman Nowrouzi, Amir H. Mohammadi, Abbas Khaksar Manshad","doi":"10.1002/cjce.25401","DOIUrl":"https://doi.org/10.1002/cjce.25401","url":null,"abstract":"Foam, as a gas‐in‐liquid colloid, has a higher appearance viscosity than the one of both gas and liquid that form it. Adjusting the mobility ratio of the injected fluid–oil system and increasing gas diffusion in the foam injection process increase oil production. With these properties, foam as an injection fluid in fractured reservoirs has a major effect on oil production from the matrixes and prevents premature production of injection fluid. Surfactants are common foaming agents in injection water. Saponins are known as plant‐derived surfactants for forming stable foam. This feature, along with its cheap price and availability, can make them candidates for enhanced oil recovery (EOR) by the foam injection method. However, the utilization of CO2 as the gaseous phase in foam introduces additional machanisms of CO2 injection to the oil recovery operations. In this assessment, a non‐ionic green surfactant derived from the Anabasis setifera plant was used as a foaming agent, while CO2 served as the gas phase. A series of surface tension tests in CO2 environment were performed to determine the optimal concentration of the surfactant. Foaming tests were performed by a designed foam generator. The produced CO2‐foam was then injected into a fractured carbonate plug with six matrixes (with one horizontal and two vertical fractures). Based on the results, the water–CO2 surface tension was reduced to 20.549 mN/m. The optimum salinity based on the foam stability was 10,000 ppm. The half‐life of the foam was determined to be 40 min. Also, the foam characterization showed that the foamability of the surfactant was favourable for increasing oil production so that by secondary flooding, an oil recovery of more than 66% was achieved from the fractured carbonate plug.","PeriodicalId":501204,"journal":{"name":"The Canadian Journal of Chemical Engineering","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141611835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The liquefaction characteristics of poplar under CuMgAlOx catalysis in supercritical methanol 超临界甲醇中 CuMgAlOx 催化下杨木的液化特性

The Canadian Journal of Chemical Engineering Pub Date : 2024-07-11 DOI: 10.1002/cjce.25406

Li Li, Jiayi Wang, Zihe Lian, Hongtao Chen, Jian Li

引用次数: 0

Magnetic adsorbents from co‐pyrolysis of non‐woody biomass and red mud for water decontamination 非木质生物质和赤泥共聚解产生的磁性吸附剂用于水污染处理

The Canadian Journal of Chemical Engineering Pub Date : 2024-07-11 DOI: 10.1002/cjce.25407

Griffin Loebsack, Kang Kang, Ken K.‐C. Yeung, Mattia Bartoli, Franco Berruti, Naomi B. Klinghoffer

{"title":"Magnetic adsorbents from co‐pyrolysis of non‐woody biomass and red mud for water decontamination","authors":"Griffin Loebsack, Kang Kang, Ken K.‐C. Yeung, Mattia Bartoli, Franco Berruti, Naomi B. Klinghoffer","doi":"10.1002/cjce.25407","DOIUrl":"https://doi.org/10.1002/cjce.25407","url":null,"abstract":"Red mud (RM) and non‐woody biomass are both underutilized resources for renewable composite materials, which could be used in environmental decontamination processes. This study aims to investigate the efficacy of co‐pyrolyzing non‐woody biomass with RM to produce a magnetic biochar composite. When pyrolyzed, RM is reduced to magnetic iron while the non‐woody biochar is responsible for the adsorption of organic compounds. Ibuprofen, acetaminophen, methyl orange, and methylene blue were used as test compounds to investigate the overall adsorptive capacity of the composite and to determine the possible adsorption mechanisms of biochar produced from RM pyrolyzed with switch grass, phragmites, rice husk, and miscanthus. The composite produced from a 1 to 1 mixture of RM and miscanthus showed the highest adsorption capacity with 13.8 and 8.34 mg/g of ibuprofen and acetaminophen adsorbed, respectively, which is attributed to its greater ‐interactions as a result of lower surface oxygen sites. Different ratios of RM to biomass were also tested for the production of the miscanthus composite, where it was found that the 1:2 ratio showed the best overall adsorption with 25.9 mg/g removal of acetaminophen, surpassing the miscanthus biochar's at 17.9 mg/g.","PeriodicalId":501204,"journal":{"name":"The Canadian Journal of Chemical Engineering","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141611838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From circular to square‐based section spouted beds: Scale‐up and design overview of a multistage thermal unit 从圆形截面喷水床到方形截面喷水床：多级热力装置的放大和设计概述

The Canadian Journal of Chemical Engineering Pub Date : 2024-07-09 DOI: 10.1002/cjce.25381

Giorgio Rovero, Massimo Curti, Cristina Moliner, Elisabetta Arato

{"title":"From circular to square‐based section spouted beds: Scale‐up and design overview of a multistage thermal unit","authors":"Giorgio Rovero, Massimo Curti, Cristina Moliner, Elisabetta Arato","doi":"10.1002/cjce.25381","DOIUrl":"https://doi.org/10.1002/cjce.25381","url":null,"abstract":"This work summarizes the results of several research projects to demonstrate the possibility of scaling‐up spouted beds by assembling a number of square‐based jet units. Cylindrical vessels with a bottom cone and parallelepiped ones with a frustum base do not differ to a large extent in terms of hydrodynamic features. The existing correlations can be used to predict these square‐based spouted beds. Spouted beds can be very reasonably described as well‐mixed reactors. By assembling several units, it is possible to approach a plug flow state for solids residence time distribution (RTD) in continuous processes. Spouting stability is fully reached when the modules do not interfere each other: this goal is obtained by positioning the downstream units at a certain lower level and having the solids move by overflow; placing internal vertical baffles between contiguous units is the solution. Two hydrodynamical models are proposed to describe single and multiple spouted beds; their predictions help in choosing the best geometrical configuration for the assemblage. A possible application of a multiple spouted bed reactor was envisaged for gasifying pelletized textile residues to generate syngas which can be directly used in situ as a co‐fuel. Two units were built: a single 0.2 m side square‐based spouted bed furnace and the consequent dual stage scale‐up apparatus suitable for an auto thermal process. In the bottom stage, four units work independently to run combustion/gasification of low‐quality solid residues, while the upper stage had a cascade of four modules to run pyrolysis/gasification of selected biomass and obtain valuable secondary products.","PeriodicalId":501204,"journal":{"name":"The Canadian Journal of Chemical Engineering","volume":"366 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141570097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of a MIMO fuzzy inference system—PI controller for a closed‐circuit grinding ball mill circuit 为闭路球磨机回路开发 MIMO 模糊推理系统-PI 控制器

The Canadian Journal of Chemical Engineering Pub Date : 2024-07-09 DOI: 10.1002/cjce.25390

Bruno Xavier Ferreira, Brunno Ferreira dos Santos

{"title":"Development of a MIMO fuzzy inference system—PI controller for a closed‐circuit grinding ball mill circuit","authors":"Bruno Xavier Ferreira, Brunno Ferreira dos Santos","doi":"10.1002/cjce.25390","DOIUrl":"https://doi.org/10.1002/cjce.25390","url":null,"abstract":"This article aims to study the implementation of classical proportional‐integrative (PI) controllers and their coupling with the fuzzy inference systems (FISs) in the act of closed‐circuit grinding (CCG) ball mill system. The system was formed for a multiple‐input multiple‐output (MIMO) system, with two inputs, the feed rate (WF) and speed classifier rotor (VR), and two outputs, a sieve fraction 45 μm (P45) and the amount of material by a weight inside the drum (hold up [HU]). The model was simulated based on experimental processes and control strategies. The fuzzy‐PI controllers were developed on the software, and the data from this process were used to build the database and the necessary knowledge to construct the FIS controllers (with fuzzy rules base 3 × 3 and 5 × 5). Their implementation decreases the error criteria integral of time multiplied by the absolute error (ITAE) and integral of the absolute magnitude of the error (IAE) by 35% and 65%, respectively. Although, applying fuzzy‐PI systems with a smaller rule‐based outcome gives the benefits of implementing the fuzzy logic (FL) but with a smaller oscillatory performance and a minor negative effect on HU control.","PeriodicalId":501204,"journal":{"name":"The Canadian Journal of Chemical Engineering","volume":"86 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141569996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Canonical variate residual analysis for industrial processes fault detection 用于工业流程故障检测的典型变量残差分析

The Canadian Journal of Chemical Engineering Pub Date : 2024-07-09 DOI: 10.1002/cjce.25399

Yuting Li, Fei Li, Xiaoqiang Liu

引用次数: 0

Data‐driven nonlinear state observation for controlled systems: A kernel method and its analysis 受控系统的数据驱动非线性状态观测：核方法及其分析

The Canadian Journal of Chemical Engineering Pub Date : 2024-07-09 DOI: 10.1002/cjce.25403

Moritz Woelk, Wentao Tang

{"title":"Data‐driven nonlinear state observation for controlled systems: A kernel method and its analysis","authors":"Moritz Woelk, Wentao Tang","doi":"10.1002/cjce.25403","DOIUrl":"https://doi.org/10.1002/cjce.25403","url":null,"abstract":"This work proposes a data‐driven state observation algorithm for nonlinear dynamical systems, when the true state trajectory is not measurable and hence the states information needs to be reconstructed from input and output measurements. Such a reduction is formed by kernel canonical correlation analysis (KCCA), which (i) implicitly maps the available input–output data into a higher‐dimensional feature space, namely the reproducing kernel Hilbert space (RKHS); (ii) finds a projection of the past input–output data and a projection of the future input–output data with maximal correlation; and (iii) identifies the projected inputs and outputs, namely the canonical variates, as the observed states. We adopt a least squares support vector machine (LS‐SVM) formulation for KCCA, which imposes regularization on the vectors that specify the projections and is amenable to convex optimization. We prove theoretically that, based on the statistical consistency of KCCA, the observed states determined by the proposed state observer has a guaranteed correlativity with the actual states (when properly transformed). Furthermore, such observed states, when supplemented with the information of succeeding inputs, can be used to predict the succeeding outputs with guaranteed upper bound on the prediction error. Case studies are performed on two numerical examples and an exothermic continuously stirred tank reactor (CSTR).","PeriodicalId":501204,"journal":{"name":"The Canadian Journal of Chemical Engineering","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141570096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Simulation of flow and heat transfer in high‐temperature and high‐pressure reservoir based on multi‐physical field coupling model at pore scale 基于孔隙尺度多物理场耦合模型的高温高压储层流动与传热模拟

The Canadian Journal of Chemical Engineering Pub Date : 2024-07-03 DOI: 10.1002/cjce.25389

Hongwei Chen, Zheng Sun, Yang Li, Haoyu Su

{"title":"Simulation of flow and heat transfer in high‐temperature and high‐pressure reservoir based on multi‐physical field coupling model at pore scale","authors":"Hongwei Chen, Zheng Sun, Yang Li, Haoyu Su","doi":"10.1002/cjce.25389","DOIUrl":"https://doi.org/10.1002/cjce.25389","url":null,"abstract":"The use of irregular pore‐scale models to study heavy oil reservoirs with high‐temperature, high‐pressure, and high‐stress characteristics is effective. Previous studies have typically focused on regular models and conventional environmental reservoirs, with limited exploration of irregular models and reservoirs in extreme environments. In investigating the process of water displacing heavy oil within reservoirs under high‐temperature, high‐pressure, and high‐stress conditions at the pore scale, the utilization of the four‐parameter method creates a micro‐scale irregular porous media model. The model systematically considers the variation of physical properties of rocks and heavy oil with temperature. The results indicate that an appropriate increase in water injection rate or a decrease in reservoir contact angle will increase the recovery rate, temperature, and stress of the reservoir. At a displacement time of 0.3 s, with the water injection rate increasing from 0.004 to 0.01 m ∙ s−1, the reservoir's recovery degree experiences an increase of 0.091. Simultaneously, the average temperature and average stress of the reservoir increase by 29.66 K and 1.9464 × 109 N · m−2, respectively. At a displacement time of 0.3 s and with the contact angle decreasing from 2π/3 to π/3, the reservoir's recovery degree increases by 0.44537, and the average temperature and average stress of the reservoir increase by 2.87 K and 1.86 × 108 N · m−2, respectively.","PeriodicalId":501204,"journal":{"name":"The Canadian Journal of Chemical Engineering","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141548583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preliminary strategy and product analysis of microwave pyrolysis of waste printed circuit board 微波热解废印刷电路板的初步策略和产品分析

The Canadian Journal of Chemical Engineering Pub Date : 2024-07-03 DOI: 10.1002/cjce.25387

Chengfei Liu, Chunyu Li, Bo Shu, Hongying Xia, Dafang Liu

引用次数: 0

All‐nonlinear static‐dynamic neural networks versus Bayesian machine learning for data‐driven modelling of chemical processes 全非线性静态动态神经网络与贝叶斯机器学习在数据驱动的化学过程建模方面的比较

The Canadian Journal of Chemical Engineering Pub Date : 2024-06-25 DOI: 10.1002/cjce.25379

Angan Mukherjee, Samuel Adeyemo, Debangsu Bhattacharyya

{"title":"All‐nonlinear static‐dynamic neural networks versus Bayesian machine learning for data‐driven modelling of chemical processes","authors":"Angan Mukherjee, Samuel Adeyemo, Debangsu Bhattacharyya","doi":"10.1002/cjce.25379","DOIUrl":"https://doi.org/10.1002/cjce.25379","url":null,"abstract":"In recent decades, the utilization of machine learning (ML) and artificial intelligence (AI) approaches have been explored for process modelling applications. However, different types of ML models may have contrasting advantages and disadvantages, which become critical during the optimal selection of a specific data‐driven model for a particular application as well as estimation of parameters during model training. This paper compares and contrasts two different types of data‐driven modelling approaches, namely the series/parallel all‐nonlinear static‐dynamic neural network models and models from a Bayesian ML approach. Both types of AI modelling approaches considered in this work have shown to significantly outperform several state‐of‐the‐art steady‐state and dynamic data‐driven modelling techniques for various performance measures, specifically, model sparsity, predictive capabilities, and computational expense. The performances of the proposed model structures and algorithms have been evaluated for two nonlinear dynamic chemical engineering systems—a plug‐flow reactor for vapour phase cracking of acetone for production of acetic anhydride and a pilot‐plant for post‐combustion CO2 capture using monoethanolamine as the solvent. For the validation data from the CO2 capture pilot plant, root mean squared error (RMSE) for flue gas outlet temperature, flowrate and CO2 concentration is 0.05%, 1.07%, and 5.0%, respectively, for the all‐nonlinear static‐dynamic neural networks and 0.1%, 1.75%, and 14.14%, respectively, for the Bayesian ML models. For the plug flow reactor data, the Bayesian ML models yield superior RMSE compared to the all‐nonlinear static‐dynamic neural networks when the measurement data are corrupted with Gaussian, auto‐correlated, or cross‐correlated noise.","PeriodicalId":501204,"journal":{"name":"The Canadian Journal of Chemical Engineering","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141514182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0