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温度、浊度及pH对海上油田水中油荧光特性影响与补偿研究
时间: 2026-10-09 次数:

刘铭辉,李亚辉,杨敏,等.温度、浊度及pH对海上油田水中油荧光特性影响与补偿研究[J].河南理工大学学报(自然科学版),2026,45(6):100-107.

Liu M H, Li Y H, Yang M, et al.Effects of temperature, turbidity and pH on fluorescence characteristics of offshore oil in water and their compensation[J].Journal of Henan Polytechnic University(Natural Science) ,2026,45(6):100-107.

温度、浊度及pH对海上油田水中油荧光特性影响与补偿研究

刘铭辉1, 李亚辉2, 杨敏3, 王新乐1, 林晨1, 王瀚宇3, 冯永康1, 潘子鹤4

1.中海油能源发展股份有限公司 安全环保分公司安全环保工程技术研究院,天津  300457;2.崂山实验室, 山东 青岛  266200;3.自然资源部 北海海洋技术中心, 山东 青岛  266033;4.山西大学 资源与环境工程研究所,山西 太原  030031

摘要: 目的 为克服海上石油平台生产水油浓度检测中,温度大幅波动、悬浮物引发的浊度变化、药剂投加导致的pH波动对水中油荧光强度的多重干扰,需构建针对性的抗干扰检测体系。  方法 以渤海原油为溶质配置的水中油样品为研究对象,使用荧光分光光度计和自研近紫外水中油传感器,基于样品的荧光光谱特性,分析样品溶液的荧光峰及其附近谱线数据,探究温度、浊度和pH变化对水中油荧光光谱的影响,建立补偿校正模型,对不同参数变化造成的干扰进行补偿校正。 结果 结果表明:(1)海上石油平台生产水温度、浊度、pH变化均可影响其荧光强度,但荧光峰位置未发生明显改变。(2)荧光强度与温度负线性相关,拟合系数为0.983 5;荧光强度与浊度负线性相关,拟合系数为0.980 4;荧光强度与pH正线性相关,拟合系数为0.975 2。(3)通过构建温度、浊度、pH补偿校正模型,计算补偿后荧光强度与基准真值之间的相对误差,以25 ℃荧光值为基准,温度补偿模型整体相对误差小于5%,且在35 ℃前相对误差小于2%;以0浊度荧光值为基准,浊度补偿模型整体相对误差小于2%;以平台实际水样经验值pH=6.7为基准,pH补偿模型整体相对误差小于3%。  结论 通过各因素补偿模型能够校正环境变化对紫外荧光法检测水中油浓度的影响,有效提高紫外荧光法检测精度。

关键词:水中油;紫外荧光法;环境因素;影响分析;补偿

doi:10.16186/j.cnki.1673-9787.2024030074

基金项目:国家自然科学基金资助项目(22278253);国家重点研发计划项目(2022YFC3103900)

收稿日期:2024/06/01

修回日期:2024/08/25

出版日期:2026/10/09

Effects of temperature, turbidity and pH on fluorescence characteristics of offshore oil in water and their compensation

Liu Minghui1, Li Yahui2, Yang Min3, Wang Xinle1, Lin Chen1, Wang Hanyu3, Feng Yongkang1, Pan Zihe4

1.CNOOC Energy Technology & Services Limited, Safety and Environmental Protection Branch, Research Institute of Safety and Environmental Engineering, Tianjin  300457, China;2.Laoshan Laboratory, Qingdao  266200, Shandong, China;3.North China Sea Marine Technical Center, Ministry of Natural Resource, Qingdao  266033, Shandong, China;4.Institute of Resources and Environmental Engineering, Shanxi University, Taiyuan  030031, Shanxi, China

Abstract: Objectives To address the multiple interferences—large temperature fluctuations, turbidity changes caused by suspended solids, and pH variations due to chemical dosing—in the detection of oil content in produced water from offshore oil platforms using UV fluorescence, a targeted anti-interference detection system was developed.  Methods Oil-in-water samples were prepared using Bohai crude oil as the solute. Fluorescence spectrophotometry and a self-developed near-UV oil-in-water sensor were employed. Based on the fluorescence spectral characteristics of the samples, the fluorescence peaks and adjacent spectral data were analyzed to investigate the effects of temperature, turbidity, and pH on the fluorescence spectra. Compensation models were established to correct the interferences caused by variations in these parameters.  Results The results show that changes in temperature, turbidity, and pH of produced water affect fluorescence intensity, but the fluorescence peak positions remain unchanged. Fluorescence intensity is negatively correlated with temperature (fitting coefficient: 0.983 5), negatively correlated with turbidity (fitting coefficient: 0.980 4), and positively correlated with pH (fitting coefficient: 0.975 2).Compensation models for temperature, turbidity, and pH were developed, and the relative errors between the compensated fluorescence intensities and their respective reference values were calculated. With the fluorescence intensity at 25 °C as the reference, the overall relative error of the temperature compensation model was less than 5% and remained below 2% at temperatures up to 35 °C. With the fluorescence intensity at 0 NTU as the reference, the overall relative error of the turbidity compensation model was less than 2%. With the empirical pH value of 6.7 for actual platform water samples as the reference, the overall relative error of the pH compensation model was less than 3%.  Conclusions The proposed compensation models can effectively correct the influence of environmental variations on UV fluorescence detection of oil concentration in water, significantly improving detection accuracy.

Key words: oil-in-water; UV fluorescence; environmental factor; impact analysis; compensation

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