首页|固体颗粒含量与粒径分布影响含油污泥超声分离过程的机制

固体颗粒含量与粒径分布影响含油污泥超声分离过程的机制

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为了阐明固体颗粒物对超声波处理含油污泥过程的影响,采用华北某油田的罐底油泥,与不同粒径(70~110、200~300、600目)和质量分数(40%、60%、80%)的预处理石英砂混合,模拟实际场地含油污泥,并在统一的超声条件下进行处理.经钱祖文衰减系数模型分析发现颗粒物的粒径和含量显著影响超声能量的衰减.颗粒物粒径4.2 μm时,超声能量衰减最为显著,且随着粒径的增大,衰减程度逐渐减弱.此外,颗粒物与原油之间的相互作用强度也是影响超声处理效率的关键因素,这种相互作用的强度与颗粒物的粒径和含量密切相关.实验结果表明,颗粒物与原油的结合能力越强,超声处理后的原油回收效率越低.在相同的超声处理条件下,与原油结合能力较弱的颗粒物处理后的原油回收率是与原油结合能力较强的颗粒物处理后的回收率的两倍.这些发现为超声波含油污泥资源化技术的工程化应用提供了理论基础.
Mechanisms of solid particle content and particle size distribution affecting the ultrasonic separation process of oil sludge
To elucidate the impact of solid particles on the ultrasonic treatment of oil sludge,experiments were conducted using bottom sludge from an oilfield in North China,mixed with quartz sand of different particle sizes(70~110,200~300,600 mesh)and mass fractions(40%,60%,80%),simulating actual field oil sludge and treated under uniform ultrasonic conditions.Analysis using the Zuwen Qian attenuation coefficient model revealed that the particle size and content significantly affected the attenuation of ultrasonic energy.The most pronounced attenuation of ultrasonic energy occurred when the particle size was 4.2 μm,and the attenuation decreased as the particle size increases.Additionally,the interaction strength between particles and crude oil was a key factor affecting the efficiency of ultrasonic treatment,which was closely related to the particle size and content.The experimental results showed that the stronger the binding capacity of particles to crude oil,the lower the recovery efficiency of crude oil after ultrasonic treatment.Under the same ultrasonic treatment conditions,the crude oil recovery rate after treatment with particles with weaker binding capacity to crude oil was twice that of particles with stronger binding capacity.These findings provide a theoretical basis for the engineering application of ultrasonic oil sludge resource technology.

oil sludgesolid particlesparticle size distributionmathematical modelingultrasonic separation

刘瑭羽、李洪瑞、侯成林、张杰、付丽霞、王昌鑫、郭渊明

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南京理工大学环境与生物工程学院,南京 210094

中国兵器工业集团北方工程设计研究院有限公司,石家庄 050000

含油污泥 固体颗粒 粒径分布 数学模型 超声分离

2024

环境工程学报
中国科学院生态环境研究中心

环境工程学报

CSTPCD北大核心
影响因子:0.804
ISSN:1673-9108
年,卷(期):2024.18(9)