Journal of Chemical and Petroleum Engineering最新文献_第6页

Modeling and Optimization of Anethole Ultrasound-Assisted Extraction from Fennel Seeds using Artificial Neural Network 茴香籽茴香酚超声提取工艺的人工神经网络建模与优化

Journal of Chemical and Petroleum Engineering Pub Date : 2020-06-01 DOI: 10.22059/JCHPE.2020.301561.1312

H. Moradi, H. Bahmanyar, H. Azizpour, Nariman Rezamandi, Seyed Mohsen Mirdehghan Ashkezari

{"title":"Modeling and Optimization of Anethole Ultrasound-Assisted Extraction from Fennel Seeds using Artificial Neural Network","authors":"H. Moradi, H. Bahmanyar, H. Azizpour, Nariman Rezamandi, Seyed Mohsen Mirdehghan Ashkezari","doi":"10.22059/JCHPE.2020.301561.1312","DOIUrl":"https://doi.org/10.22059/JCHPE.2020.301561.1312","url":null,"abstract":"Extraction of essential oils from medicinal plants has received researcher’s attention as it has a wide variety of applications in different industries. In this study, ultrasonic method has been used to facilitate the extraction of active ingredient anethole from fennel seeds. Effect of different parameters like extraction time (20, 40, and 60 min), power (80, 240, and 400 Watts) and solid particle size (0.3, 1, and 1.7 mm) on the anethole extraction yield have been studied. The box-Behnken design method has been used for the design of experiments to reduce the number of experiments. A second-degree polynomial was proposed to predict the relationship between independent variables and the dependent variable. An artificial neural network was trained with experimental data to provide another model for the system. Optimal results achieved when using the Levenberg-Marquardt back-propagation algorithm, Logsig, and Tansig transfer functions for hidden and output layers and the number of 10 neurons in the hidden layer. Coefficient of determination, sum of squared errors, root of mean square error, and absolute average deviation were found to be 0.9933, 0.0199, 0.0059, and 2.1944 for the ANN model and 0.9851, 0.0425, 0.0059 and 2.1944 for the design of experiment (DOE) model, respectively.","PeriodicalId":15333,"journal":{"name":"Journal of Chemical and Petroleum Engineering","volume":"47 1","pages":"143-153"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85571627","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: 1

Mass Transfer Modeling of CO2 Absorption into Blended MDEA-MEA Solution 混合MDEA-MEA溶液中CO2吸收的传质模型

Journal of Chemical and Petroleum Engineering Pub Date : 2020-06-01 DOI: 10.22059/JCHPE.2020.292546.1301

A. Ghaemi

{"title":"Mass Transfer Modeling of CO2 Absorption into Blended MDEA-MEA Solution","authors":"A. Ghaemi","doi":"10.22059/JCHPE.2020.292546.1301","DOIUrl":"https://doi.org/10.22059/JCHPE.2020.292546.1301","url":null,"abstract":"In this research, the thermodynamics and mass transfer of CO2 absorption has been studied in a mixture of MDEA-MEA amines. A relation is presented for mass transfer flux in the reactive-absorption process. For this purpose, the effective parameters on the mass transfer flux were investigated in both liquid and gas phases. Then, using dimensional analysis with the Pi-Buckingham theorem, the effective variables were extracted as the dimensionless parameters. Also, the absorption process with MEA-MDEA is modeled according to four laws of chemical equilibrium, phase equilibrium, mass, and charge balance (considering the appropriate thermodynamic model for solvent). The experimental data of the previous research was used to calculate the dimensionless parameters. The constants of the mass flux equation are calculated with the fitting method. Also, the effects of operating parameters such as CO2 partial pressure, temperature, and dimensionless parameters such as the film parameter, enhancement factor, and loading have been investigated. The results showed that by increasing the loading and film parameter, the mass flux decreased, and the mean absolute error obtained from the proposed relationship was about 4.3%, which indicates the high accuracy of the predicted equation.","PeriodicalId":15333,"journal":{"name":"Journal of Chemical and Petroleum Engineering","volume":"27 1","pages":"111-128"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77315527","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: 5

Modeling of the Hydrocracking Reactor by the CESE Method 加氢裂化反应器的CESE方法建模

Journal of Chemical and Petroleum Engineering Pub Date : 2020-06-01 DOI: 10.22059/JCHPE.2020.291086.1297

Armin Hadianifar, A. Hallajisani, S. Zahedi

引用次数: 0

Prediction of RO Membrane Performances by Use of Adaptive Network-Based Fuzzy Interference Systems 基于自适应网络模糊干扰系统的反渗透膜性能预测

Journal of Chemical and Petroleum Engineering Pub Date : 2020-06-01 DOI: 10.22059/JCHPE.2020.292454.1300

Vahid Mojjaradi, S. Sahraei

{"title":"Prediction of RO Membrane Performances by Use of Adaptive Network-Based Fuzzy Interference Systems","authors":"Vahid Mojjaradi, S. Sahraei","doi":"10.22059/JCHPE.2020.292454.1300","DOIUrl":"https://doi.org/10.22059/JCHPE.2020.292454.1300","url":null,"abstract":"This study aims to develop an Adaptive Network-based Fuzzy Inference System technique (ANFIS) and using the parameters of a complex mathematical model in the RO membrane performances. The ANFIS was constructed by using a subtractive clustering method to generate initial fuzzy inference systems. The model trained by 70% of the data set and then its validity is examined by remained 30% data set. The result indicated that this method could predict the performance of the RO membrane faster and more accurately than previous numerical techniques. The squared correlation coefficient between real data and predicted data of this technique was 0.9973 for separation factor, 0.9916 for NP and 0.9975 NT, which are better in comparison with numerical methods, and previous Artificial Neural network used by the author to model these membranes. It was observed that the squash factor, reject ratio, and accept ratio has no significant effect on ANFIS performance. Results showed that for all cases better performances achieved when this parameter has a value of more than 0.5, as 0.86 for separation factor, 0.91 for net pre flux, and 0.83 for total flux. This technique just takes a few seconds to model RO membrane performance which is very faster than other numerical methods. So, this technique could be a powerful method to predict RO membranes.","PeriodicalId":15333,"journal":{"name":"Journal of Chemical and Petroleum Engineering","volume":"232 1","pages":"99-110"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76258722","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: 1

Comprehensive Studies on Production Data Analysis of Hydrocarbon Reservoirs 油气藏生产资料分析综合研究

Journal of Chemical and Petroleum Engineering Pub Date : 2020-06-01 DOI: 10.22059/JCHPE.2020.298073.1308

M. H. Zareenejad, A. Kalantariasl

{"title":"Comprehensive Studies on Production Data Analysis of Hydrocarbon Reservoirs","authors":"M. H. Zareenejad, A. Kalantariasl","doi":"10.22059/JCHPE.2020.298073.1308","DOIUrl":"https://doi.org/10.22059/JCHPE.2020.298073.1308","url":null,"abstract":"A review of field production data reveals that usually, it is very difficult to apply available decline models because of poor quality and often noisy character of initial data and also unrealistic assumptions of the models. This paper tries to introduce applicable procedures to correct initial data and reproduce missed data. Corrected data are analyzed and finally, the results for permeability and skin factor estimations are compared to results of transient well test analysis. Estimations for Initial Hydrocarbon In Place (IHIP) and reserve are also compared to the results of Material Balance Equation (MBE) and static model through field case studies. It is proved that the analysis can present acceptable estimations for radial permeability and skin values in naturally fractured reservoirs (NFR). Flowing material balance and Buba and Blasingame plotting function model give the best estimations for Original Gas In Place (OGIP) and gas reserve respectively. A simple but useful and applicable method is presented to determine reservoir fracture distribution mapping. It is also showed that the analysis can be used to distinguish water influx successfully.","PeriodicalId":15333,"journal":{"name":"Journal of Chemical and Petroleum Engineering","volume":"3 1","pages":"129-141"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80942147","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

Solubility of CO2 in aqueous solutions of diethanolamine (DEA) and choline chloride CO2在二乙醇胺和氯化胆碱水溶液中的溶解度

Journal of Chemical and Petroleum Engineering Pub Date : 2020-06-01 DOI: 10.22059/JCHPE.2020.284101.1289

Sahereh Maneshdavi, S. Peyghambarzadeh, S. Sayyahi, S. Azizi

引用次数: 1

Low Temperature Catalytic Cracking of Heavy Feedstock Optimized by Response Surface Method 响应面法优化重质原料低温催化裂化

Journal of Chemical and Petroleum Engineering Pub Date : 2020-06-01 DOI: 10.22059/JCHPE.2019.280824.1277

Sina Alizad, E. Moosavi, R. Karimzadeh

{"title":"Low Temperature Catalytic Cracking of Heavy Feedstock Optimized by Response Surface Method","authors":"Sina Alizad, E. Moosavi, R. Karimzadeh","doi":"10.22059/JCHPE.2019.280824.1277","DOIUrl":"https://doi.org/10.22059/JCHPE.2019.280824.1277","url":null,"abstract":"Upgrading of cracked PFO (Pyrolysis fuel oil) for production of fuels, such as gasoline and light gasoil, was carried out in a semi batch reactor. Two different kinds of mesoporous and microporous catalysts, MCM-41 and ZSM-5, were used. Modification methods, such as ion exchange and impregnation with Fe and Ti, were done for tuning the acidity of the catalyst. XRD, FT-IR, and XRF analyzes were used to identify the structure and composition of the catalysts. Among the catalysts used in low temperature catalytic cracking of cracked PFO in a moderate temperature (380 °C), 3%Ti/H-MCM-41 showed the best catalytic performance. After choosing the best catalyst, an experimental design was carried out using response surface method with a five-level central composite design model. The effect of 3 main parameters, i.e. reaction temperature (360-400 °C), catalyst to feed ratio (0.04-0.1), and loading of Ti (0-5%) were investigated on liquid productivity and light olefin production. Design Expert software was used to maximize the sum of liquid yield and olefins in the gas. The best catalyst is 2.5%Ti/H-MCM-41. In optimum, 380 °C with the ratio of 0.1 g/g catalyst to feed over 2.5%Ti/H-MCM-41, the wt.% of liquid, gas, and solid products are 80 wt. %, 10 wt. %, and 10 wt. %, respectively. At this condition, 26 wt. % of liquid product was in the range of gasoline (C5-C10) and the rest (i.e. C11+) was considered in the range of light gas oil. Light olefins of the obtained gas products were about 2.74 wt. %.","PeriodicalId":15333,"journal":{"name":"Journal of Chemical and Petroleum Engineering","volume":"93 1","pages":"13-33"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82083254","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: 1

Experimental Study and Numerical Modeling of CO2 Bio-Fixation in a Continues Photobioreactor 连续光生物反应器中CO2生物固定的实验研究与数值模拟

Journal of Chemical and Petroleum Engineering Pub Date : 2020-06-01 DOI: 10.22059/JCHPE.2020.283446.1285

A. Mohammadi, Hamed Abedini

{"title":"Experimental Study and Numerical Modeling of CO2 Bio-Fixation in a Continues Photobioreactor","authors":"A. Mohammadi, Hamed Abedini","doi":"10.22059/JCHPE.2020.283446.1285","DOIUrl":"https://doi.org/10.22059/JCHPE.2020.283446.1285","url":null,"abstract":"A dynamic numerical model was developed to predict the biomass concentration, pH, and carbon dioxide fixation rate in the continuous culture of cyanobacteria in a photobioreactor. The model is based on the growth rate equation of microalgae combined with mass transfer equations for gas and liquid phases in the photobioreactor as well as thermodynamic equilibrium of inorganic carbon ions in the culture media. The model was validated by comparing its predictions with experimental results obtained from turbidostat cultivation of Synechocystis in a flat-plate photobioreactor. Optical density, pH, and CO2 concentration in outlet gas were measured continuously in this photobioreactor. The model was used to simulate this system at the same conditions that the experiments were performed at two light intensities of 75 mE/m2/s and 150 mE/m2/s. Although the growth rate and outlet gas CO2 concentration were quite different at these two light intensities, the model predicted the system behavior accurately. The average error in the prediction of biomass concentration, pH, and outlet gas CO2 concentration was 0.40%, 0.61%, and 0.34%, respectively.","PeriodicalId":15333,"journal":{"name":"Journal of Chemical and Petroleum Engineering","volume":"47 1","pages":"47-55"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85218786","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

Evaluation of the Effect of Nonionic Surfactants and TBAC on Surface Tension of CO2 Gas Hydrate 非离子表面活性剂和TBAC对CO2水合物表面张力影响的评价

Journal of Chemical and Petroleum Engineering Pub Date : 2020-06-01 DOI: 10.22059/JCHPE.2020.288118.1294

A. Bozorgian, Z. A. Aboosadi, A. Mohammadi, B. Honarvar, A. Azimi

{"title":"Evaluation of the Effect of Nonionic Surfactants and TBAC on Surface Tension of CO2 Gas Hydrate","authors":"A. Bozorgian, Z. A. Aboosadi, A. Mohammadi, B. Honarvar, A. Azimi","doi":"10.22059/JCHPE.2020.288118.1294","DOIUrl":"https://doi.org/10.22059/JCHPE.2020.288118.1294","url":null,"abstract":"Given that most of the gaseous constituents of industrial chimneys are usually carbon dioxide which is one of the most important greenhouse gases. It seems that the hydration process is one of the newest methods for the separation of this gas from gaseous mixtures. In the gas hydrate formation industry, in addition to disadvantages, there are some advantages such as gas separation, transmission, and storage. Therefore, it is important to determine the appropriate promoter for the formation of gaseous hydrates as well as to find the inhibitor. In this study, the effect of tetra-n-butyl ammonium chloride (TBAC) (which is a thermodynamics promoter) and alkyl poly glucoside (APG) as a nonionic surfactant on the surface tension of carbon dioxide hydrate formation process have been studied. The experiments were carried out in a 218 cm3 batch reactor. The surface tension of CO2 hydrate has been determined at different concentrations and different temperatures and pressures. The nucleation classical theory has been used for this purpose. Designing the experiments performed by Design-Expert software. The results show that increasing the APG and temperature leads to decreasing the surface tension and in contrast, induction time decreases, and the experimental model of the effect of these parameters on surface tension presented as R2 = 0.9898.","PeriodicalId":15333,"journal":{"name":"Journal of Chemical and Petroleum Engineering","volume":"42 1","pages":"73-81"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87679690","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: 6

New Empirical Models for Estimating Permeability in One of Southern Iranian Carbonate Fields using NMR-Derived Features 利用核磁共振衍生特征估算伊朗南部碳酸盐岩油田渗透率的新经验模型

Journal of Chemical and Petroleum Engineering Pub Date : 2020-06-01 DOI: 10.22059/JCHPE.2020.290125.1296

S. Parchekhari, A. Nakhaee, A. Kadkhodaie

{"title":"New Empirical Models for Estimating Permeability in One of Southern Iranian Carbonate Fields using NMR-Derived Features","authors":"S. Parchekhari, A. Nakhaee, A. Kadkhodaie","doi":"10.22059/JCHPE.2020.290125.1296","DOIUrl":"https://doi.org/10.22059/JCHPE.2020.290125.1296","url":null,"abstract":"Permeability is arguably the most important property in evaluating fluid flow in the reservoir. It is also one of the most difficult parameters to measure in field. One of the main techniques for determining permeability is the application of Nuclear Magnetic Resonance (NMR) logging across the borehole. However, available correlations in literature for estimating permeability from NMR data do not usually give acceptable accuracy in carbonate rocks. In this research, two new empirical models are introduced for quantifying NMR extracted permeability in carbonate formations. These models are validated for three carbonate formations, namely, Yamama, Gadvan, and Daryan in one of Iranian offshore reservoirs in the Persian Gulf. The first empirical model applies the pore-related NMR data such as free and bound fluid parameters. The second model, however, is a novel approach that uses the geometric features of the occurring humps in T2 distribution. For assessing the performance of the proposed models, statistical parameters as well as graphical tools are utilized. It is found that the for the examined case studies, geometric approach gives more accurate and reliable estimates compared to the available models in the literature including Timur-Coates and SDR methods.","PeriodicalId":15333,"journal":{"name":"Journal of Chemical and Petroleum Engineering","volume":"2 1","pages":"83-90"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83702329","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