A concentration measurement model of suspended solids in oilfield reinjection water based on underwater scattering
A concentration measurement model of suspended solids in oilfield reinjection water based on underwater scattering
复制标题
基于水下散射的油田回注水中悬浮物浓度测量模型
DOI：
10.1016/j.measurement.2017.11.061
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发表时间：
2018-03
期刊：
影响因子：
5.6
通讯作者：
Zhao Lei
中科院分区：
文献类型：
--
作者：
Ma Ling;Duan Fajie;Song Gencai;Zhao Lei
油田回注水中含有大量的悬浮物和油颗粒，其浓度对回注水水质有重要影响。为了准确测量悬浮物的浓度，本文提出了一种水下散射模型。从朗伯-比尔定律出发，讨论了油、悬浮物和水对光的消光效应。根据Mie散射理论，对单个颗粒在散射角范围内进行积分计算，得出了SS浓度与90°散射光强度的关系。分析了光阑光斑、光束位置和油滴浓度对测量模型的影响。建立了与该模型相对应的水下散射测量系统，用于测量模拟油田回注水的溶液样品中SS的浓度。回归分析结果表明，该模型与实际实验结果的相关系数为0.998，均方根误差为0.0775 V，证明了SS水下散射模型的可行性。
There are many particles such as suspended solids (SS) and oil particles in oilfield reinjection water, of which the concentrations have important effect on the property of reinjection water. To measure the concentration of SS accurately, an underwater scattering model is proposed in the paper. The light extinction effect resulting from oil particles, SS and water was discussed based on Lambert-Beer Law. According to the Mie scattering theory, the integral calculation for a single particle within the scattering angle was accomplished, and the relationship between the SS concentration and the intensity of 90° scattered light was worked out. The influences of the diaphragm spot, the light beam position and the concentration of oil particles to the measurement model were analyzed. An underwater scattering measuring system corresponding to this model was established to measure the concentration of SS in solution samples that simulated the oilfield reinjection water. The regression analysis results show that the correlation coefficient of the model and the actual experimental results is 0.998, and the root-mean-square error is 0.0775 V, which proved the feasibility of the SS underwater scattering model.
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DOI：
10.1109/cdciem.2011.515
发表时间：
2011-02
期刊：
2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring
影响因子：
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作者：
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作者：
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DOI：
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发表时间：
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期刊：
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DOI：
10.1109/igarss.2007.4423437
发表时间：
2007-07
期刊：
2007 IEEE International Geoscience and Remote Sensing Symposium
影响因子：
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DOI：
--
发表时间：
2003
期刊：
Journal of Daqing Petroleum Institute
影响因子：
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作者：
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