高盐、高硬度、高浊度煤系气田产出水预处理工艺参数优化 |
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作者姓名: | 王敬威 刘研萍 琚宜文 琚丽婷 刘新春 |
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作者单位: | 1. 中国科学院大学资源与环境学院, 北京 100049;2. 北京化工大学环境科学与工程系, 北京 100029;3. 中国科学院大学地球与行星科学学院, 北京 100049 |
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基金项目: | 国家科技重大专项(2016ZX05066006)资助 |
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摘 要: | 针对具有含盐量高、硬度大和浊度高等特点的鄂尔多斯盆地东缘临兴区块煤系气田产出水,经实验与工程论证后拟采用"预处理—反渗透—MVR"的方案使处理后的水符合农田灌溉水标准.实验模拟"硬度去除—絮凝—过滤—超滤"的预处理过程探究硬度和浊度去除的最优工艺条件.结果 表明:Na2CO3的硬度去除效果优于NaOH,当投加量为150...
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关 键 词: | 煤系气 产出水 预处理 响应面优化法 参数优化 |
收稿时间: | 2021-03-22 |
修稿时间: | 2021-05-06 |
Optimization of pretreatment parameters of produced water in coal series gas field with high salt,high hardness,and high turbidity |
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Authors: | WANG Jingwei LIU Yanping JU Yiwen JU Liting LIU Xinchun |
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Institution: | 1. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;2. Department of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China;3. College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract: | The produced water of coal-measure gas field in Linxing block, eastern margin of Ordos basin was characterized by high salt content, high hardness, and high turbidity. After experiment and engineering demonstration, the scheme of "pretreatment-reverse osmosis-MVR" was proposed to make the treated water meet standards for irrigation water quality. The pretreatment process of "hardness removal-flocculation-filtration-ultrafiltration" was simulated to explore the optimal process conditions for hardness and turbidity removal. The results showed that the hardness removal effect of Na2CO3 was better than that of NaOH. When the dosage of Na2CO3 was 15000mg·L-1, the maximum hardness removal rate was 99.39%. The mathematical model established by response surface methodology with turbidity removal rate as response value was very significant (P<0.0001). The optimal process conditions were pH 8.85, PAC dosage 148.34mg·L-1, PAM dosage 6.51mg·L-1. Under these conditions, the predicted turbidity removal rate was 83.32%, the actual turbidity removal rate was 82.77%, indicating a high degree of fitting between the actual and predicted values. The optimization of pretreatment process parameters is conducive to the fine control of the project, so as to reduce the cost and provide a guarantee for the subsequent reverse osmosis desalination treatment. |
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Keywords: | coal-measure gas produced water pretreatment response surface methodology parameter optimization |
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