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Corrosion Behavior of Pipeline Steel in Oilfield Produced Water under Dynamic Corrosion System

Journal of Wuhan University of technology(Materials Science) 2022年第4期37卷 677-691页

作者：赵杰 LIU Yida 杨晓宇 HE Xin WANG Lei XIONG Dan GU Yanhong School of Mechanical Engineering Beijing Institute of Petrochemical TechnologyBeijing 102617China School of Safety Engineering Beijing Institute of Petrochemical TechnologyBeijing 102617China

In order to predict the corrosion trendency of X100 pipeline steel in flowing oilfield produced water,the effect of flow rate on the corrosion behavior of X100 pipeline steel was studied under general dynamic condition and simulated real working condition at the flow rate of 0.2,0.4,and 0.6 m·s^(-1).Potentiodynamic polarization curves and electrochemical impedance spectroscopy were used to study the corrosion behavior of X100 steel.Energy dispersive spectroscopy,X-ray diffraction and scanning electron microscopy were used to analyze corrosion product composition and micromorphology.The experimental results show that the corrosion is more serious under simulated real working conditions than that under the general dynamic conditions.In any case the corrosion current density increases with the increase of the flow rate,and the total impedance value decreases.The corrosion products include Fe_(3)O_(4),Fe_(2)O_(3),and FeOOH.The mass transfer and electrochemistry were simulated by flow coupled in COMSOL software.The multiphysical field coupling simulation results are closer to the engineering practice than the single flow field simulation,and similar results from the experiments were obtained.Both experimental and simulation results reveal that the higher flow rate is,the more serious corrosion appear and the more corrosion products accumulate.By combining experimental and COMSOL simulation data,the corrosion process model of X100 steel was proposed.

关键词： X100 steel flow rate oilfield produced water corrosion behavior COMSOL simulation

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Effect of reduction pretreatments on PdAg/Al_(2)O_(3) for HCHO and CO oxidation

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Journal of Environmental Sciences 2023年第2期124卷 371-378页

作者： Liwei Meng Xue Han Lian Yu Yafei Wang Beijing Institute of Petrochemical Technology Beijing 102617China General Research institute for Non-Ferrous Metals Beijing 100088China

PdAg/Al_(2)O_(3) were pretreated by CO and H2 reduction pretreatments,respectively.The reduced catalysts were tested for HCHO and CO oxidation and characterized by Brunner Emmet Teller(BET),X-ray diffraction(XRD),transmission electron microscopy(TEM),X-ray photoelectron spectroscopy(XPS)and oxygen temperature programmed desorption(O_(2)-TPD).These results indicate that the pretreatments have effect on PdAg reconstruction,PdAg particle size and active oxygen species,which are responsible for the catalytic performance.Compared with H2 reduction method,CO reduction is more suitable for PdAg/Al_(2)O_(3) pretreatment.PdAg/Al_(2)O_(3)-CO exhibited better catalytic performance.

关键词： PdAg Reduction method Catalytic oxidation CO

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Research of surface-enhanced Raman scattering on Ag@PMBA@C@Au hybrid nanoparticles

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Optoelectronics Letters 2024年第2期20卷 65-69页

作者： TAN Enzhong LÜ Suye Liberal Study College Beijing Institute of Petrochemical TechnologyBeijing 102617China

Monodispersed, biocompatible, and readily-functionalized hybrid reporter-embedded core-shell nanopartilces(NPs) have been prepared in a simple route. This composite offers a potential platform for immunochemical detection using surface-enhanced Raman scattering(SERS) due to their high sensitivity, good stability and biocompatiblity. This also provides a new platform for insight into SERS enhancement mechanism.

关键词： mechanism. readily SERS

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Risk Analysis Using Multi-Source Data for Distribution Networks Facing Extreme Natural Disasters

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Energy Engineering 2023年第9期120卷 2079-2096页

作者： Jun Yang Nannan Wang Jiang Wang Yashuai Luo School of Information Engineering Beijing Institute of Petrochemical TechnologyBeijing102617China

Distribution networks denote important public infrastructure necessary for people’s livelihoods.However,extreme natural disasters,such as earthquakes,typhoons,and mudslides,severely threaten the safe and stable operation of distribution networks and power supplies needed for daily life.Therefore,considering the requirements for distribution network disaster prevention and mitigation,there is an urgent need for in-depth research on risk assessment methods of distribution networks under extreme natural disaster conditions.This paper accessesmultisource data,presents the data quality improvement methods of distribution networks,and conducts data-driven active fault diagnosis and disaster damage analysis and evaluation using data-driven theory.Furthermore,the paper realizes real-time,accurate access to distribution network disaster information.The proposed approach performs an accurate and rapid assessment of cross-sectional risk through case study.The minimal average annual outage time can be reduced to 3 h/a in the ring network through case study.The approach proposed in this paper can provide technical support to the further improvement of the ability of distribution networks to cope with extreme natural disasters.

关键词： Distribution network disaster damage analysis fault judgment multi-source data

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Oil–water pre-separation with a novel axial hydrocyclone

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Chinese Journal of Chemical Engineering 2018年第1期26卷 60-66页

作者： Meili Liu Jiaqing Chen Xiaolei Cai Yanhe Han Si Xiong Department of Environmental Engineering Beijing Institute of Petrochemical Technology

A novel hydrocyclone with guide vanes, named as axial hydrocyclone(AHC), is designed to tackle the problem of oil–water separation faced by most mature oilfields. Optimal design of the AHC is carried out by using numerical methods. The effects of guide vanes, cone angle, tapered angle and overflow pipe on the oil–water separation are discussed in this paper. The results show that a double swirling flow is generated in the tapered section where oil–water separation occurs. Both the cylindrical and the tapered section have important influences on AHC performance. On the basis of single factor results, response surface methodology is employed to optimize the AHC design. The experimental results indicate that the novel AHC has an excellent performance for the oil–water separation.

关键词：油水分离样轴设计处理数字方法方法论试验性指南油矿

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Synthesis and Properties of Hydroxytelechelic Polyisobutylenes by End Capping with tert-Butyl-dimethyl-(4-methyl-pent-4-enyloxy)-silane

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Chinese Journal of Polymer Science 2019年第9期37卷 936-942页

作者： Jing Li Kang-Da Wu Huang Shan Jing-Han Zhang Ming Zhao Guang-Bi Gong Wen-Li Guo Yi-Bo Wu College of Materials Science & Engineering Beijing Institute of Petrochemical Technology Beijing 102617 China Lanzhou petrochemical Research Center Petrochina Lanzhou 730060 China beijing Key Laboratory of Specialty Elastomer Composite Materials Beijing Institute of Petrochemical Technology Beijing 102617 China

The low-activity cationic monomer tert-butyl-dimethyl-(4-methyl-pent-4-enyloxy)-silane was synthesized by Grignard reaction and hydroxyl-protection reaction. Living polyisobutylene chains were initially synthesized by controlled cationic polymerization and then capped with tert-butyl-dimethyl-(4-methyl-pent-4-enyloxy)-silane. The hydrolysis of these polyisobutylenes end capped with tert-butyl-dimethyl-(4-methyl-pent-4-enyloxy)-silane gave rise to hydroxytelechelic polyisobutylene. NMR analysis confirmed that the hydrolysis was complete. Results also showed that a low polymerization temperature favored the participation of tert-butyl-dimethyl-(4- methyl-pent-4?enyloxy)-silane in the end-capping reaction. Moreover, polyisobutylene-based polyurethane exhibited greater acid resistance than commercial polyurethane.

关键词： Carbocationic polymerization Polyisobutylene Hydrolysis Polyisobutylene-based polyurethane

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Feasibility analysis of a single-sensor-based approach for source identification of hazardous chemical releases

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Chinese Journal of Chemical Engineering 2019年第7期27卷 1642-1650页

作者： Zengqiang Chen Lian Ye Bo Dai Fang Wang College of Information Engineering Beijing Institute of Petrochemical TechnologyBeijing 102617China School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China Office of Academic Affairs Beijing Institute of Petrochemical TechnologyBeijing 102617China

Source identification is critical for emergency responses to hazardous chemical releases,especially sudden releases of toxic gases.The timely arrangement of multiple sensors at the scene of a sudden accident is difficult.To overcome this limitation,a two-step source identification method based on a single sensor was developed.In the first step,the measured concentration was transmitted to the computing platform.First,a preliminary estimation of the release source was calculated from recently detected concentrations.Then,the preliminary result was used to predict the concentrations and to assess whether more measurements were needed.This data processing was conducted by the computing platform.In the second step,a new objective monitoring point was transmitted to the detector for the measurement of additional concentrations.These two steps were conducted repeatedly until the estimation adequately represented the release source.The fixed and mobile single sensor results were analyzed,and a comparison to multi-sensor results was also conducted.The results show that single-sensor source identification is attainable with a sufficient number of observations,and the number of valid concentration observations is required to be no less than the number of unknown parameters.To best estimate the release source,the movement strategy of the single sensor was based on the possible release source and the hazard partition of the gas plume.It is highly recommended that the single-sensor source identification method be used in unexpected incidents due to its flexibility and timely response.

关键词： Safety analysis Emergency response Inverse problems Optimization Dispersion model

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Promoting electrocatalytic alcohols oxidation coupled with H_(2) production via ligand intercalation strategy

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Nano Research 2023年第4期16卷 4596-4602页

作者： Li Li Zhiyuan Zhang Haotong Chen Fei Chen College of New Materials and Chemical Engineering Beijing Key Lab of Special Elastomeric Composite MaterialsBeijing Institute of Petrochemical TechnologyBeijing 102617China

Electrochemical alcohol oxidation,the alternate of oxygen evolution reaction,has been recognized as an effective way to produce value-added chemicals coupled with H2 production.However,the current researches still suffer from the low reaction rate and Faradaic efficiency(FE)that limits the overall efficiency.Herein,we report a ligand intercalation strategy to enhance the current density of alcohol electrooxidation by intercalating sodium dodecyl sulfonate(SDS)in the interlayer of Co(OH)_(2)catalyst(Co(OH)_(2)-SDS).For instance,the Co(OH)_(2)-SDS shows obviously enhanced current density for glycerol electrooxidation than that of pure Co(OH)_(2).The corresponding glycerol conversion rate and H2 production rate reach 0.35 mmol·cm^(−2)·h^(−1)and 9.1 mL·cm^(−2)·h^(−1)at 1.42 V vs.reversible hydrogen electrode,which are 2.2-and 1.9-fold higher than that of Co(OH)_(2).The yield of formate reaches 86.6%with selectivity of 95.3%at high glycerol conversion of 95.1%(with FE of 83.3%for glycerol oxidation).The Co(OH)_(2)-SDS is demonstrated efficient for different alcohols with enhanced performance.We confirmed that the intercalation of SDS in Co(OH)_(2)can promote the generation and exposure of CoOOH reactive sites,and also facilitate the adsorption of alcohol,thus enabling high reaction rate.

关键词： electrocatalysis alcohol oxidation hydrogen cobalt hydroxide ligand intercalation

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Life cycle assessment of high concentration organic wastewater treatment by catalytic wet air oxidation

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Chinese Journal of Chemical Engineering 2023年第4期56卷 80-88页

作者： Yuxi Chai Yanan Zhang Yannan Tan Zhiwei Li Huangzhao Wei Chenglin Sun Haibo Jin Zhao Mu Lei Ma beijing Key Laboratory of Fuels Cleaning and Advanced Catalytic Emission Reduction technology/College of New Materials and Chemical Engineering Beijing Institute of Petrochemical TechnologyBeijing 102617China Dalian institute of Chemical Physics Chinese Academy of SciencesDalian 116023China School of Chemistry and Chemical Engineering Hefei University of TechnologyHefei 230009China institute of Applied Chemical technology for Oilfield/College of New Materials and Chemical Engineering Beijing Institute of Petrochemical TechnologyBeijing 102617China

There have been many studies on life cycle assessment in sewage treatment,but there are scarce few studies on the treatment of industrial wastewater in combination with advanced oxidation technology,especially in catalytic wet air oxidation(CWAO).There are no cases of using actual industrialized data onto life cycle assessment.This paper uses Simapro 9.0 software to establish a life cycle assessment model for the treatment of high-concentration organic wastewater by CWAO,and comprehensively explains the impact on the environment from three aspects:the construction phase,the operation phase and the demolition phase.In addition,sensitivity analysis and uncertainty analysis were performed.The results showed that the key factors affecting the environment were marine ecotoxicity,mineral resource consumption and global warming,the operation stage had the greatest impact on the environment,which was related to high power consumption during operation and emissions from the treatment process.Sensitivity analysis showed that electricity consumption has the greatest impact on abiotic depletion and freshwater aquatic ecotoxicity,and it also proved that global warming is mainly caused by pollutant emissions during operation phase.Monte Carlo simulations found slightly higher uncertainty for abiotic depletion and toxicity-related impact categories.

关键词： Wastewater treatment High-concentration organic wastewater Catalytic wet air oxidation Life-cycle assessment

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Deep learning-based on-line image analysis for continuous industrial crystallization processes

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Particuology 2023年第3期74卷 173-183页

作者： Shiliang Zong Guangzheng Zhou Meng Li Xuezhong Wang beijing City Key Laboratory of Enze Biomass and Fine Chemicals College of New Materials and Chemical EngineeringBeijing Institute of Petrochemical TechnologyBeijing102617China

In situ microscopic imaging is a useful tool in monitoring crystallization processes,including crystal nucleation,growth,aggregation and breakage,as well as possible polymorphic transition.To convert the qualitative information to be quantitative for the purpose of process optimization and control,accurate analysis of crystal images is essential.However,the accuracy of image segmentation with traditional methods is largely affected by many factors,including solid concentration and image quality.In this study,the deep learning technique using mask region-based convolutional neural network(Mask R-CNN)is investigated for the analysis of on-line images from an industrial crystallizer of 10 m^(3) operated in continuous mode with high solid concentration and overlapped particles.With detailed label points for each crystal and transfer learning technique,two models trained with 70,908 and 7,709 crystals respectively are compared for the effect of training data amount.The former model effectively segments the aggregated and overlapped crystals even at high solid concentrations.Moreover,it performs much better than the latter one and traditional multi-scale method both in terms of precision and recall,revealing the importance of large number of crystals in deep learning.Some geometrical characteristics of segmented crystals are also analyzed,involving equivalent diameter,circularity,and aspect ratio.

关键词： Continuous crystallization Crystal shape Image analysis Deep learning Instance segmentation Process analytical technology

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