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Modeling Scale Formation and Optimizing Scale Inhibitor Dosages in Membrane Systems

机译:膜系统中的建模规模形成和优化规模抑制剂剂量

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Water chemistry design and treatment software currently in use for membrane systems is not adequate for the rigors of high recovery systems in many cases due to reliance upon simple indices for scale prediction, inhibitor selection, and inhibitor dosage estimation. Simple indices use total analytical values for calculating the driving force for scale formation and do not account for common ion effects and ion association. Their applicability is limited to lower TDS systems. This paper discusses the application of an industry standard ion association model calculation engine to predicting scale in membrane systems and optimizing control. The ion association model engine calculates the most likely distribution of species for a brine, and uses the free ion concentrations to calculate the driving force for scale for minerals such as calcite, gypsum, barite, celestite, and silica. Calcium phosphate based scales can also be modeled using this method. Models for optimizing scale inhibitor dosages, are also described, including the parameters critical to developing an effective dosage modulation model for scale inhibitors from laboratory data, field data, or a combination of both. The paper draws upon the concept of induction time as a basis for the mathematical models used to develop predictive models from actual data. The models are based upon the concept that threshold effect inhibitors do not prevent scale formation, they only delay the inevitable. The models are in agreement with current theories and practice and treat scale inhibitors as agents which extend the induction time before crystal formation and/or growth on existing active sites occurs in the case of calcium carbonate, calcium sulfate, and barium sulfate; and as dispersants which control particle size in the case of calcium phosphate and silica. Models presented are for commercially available inhibitors and have been used successfully to select treatments and optimize dosages in reverse osmosis systems, cooling water, and oil field applications.
机译:目前用于膜系统的水化学设计和治疗软件在许多情况下,对于高回收系统的严格来说,由于依赖于规模预测,抑制剂选择和抑制剂剂量估计,因此在许多情况下对高回收系统的严谨性是足够的。简单的指数使用总分析值来计算规模形成的驱动力,并且不考虑常见的离子效应和离子关联。他们的适用性仅限于降低TDS系统。本文讨论了行业标准离子关联模型计算发动机在膜系统中预测规模和优化控制的应用。离子关联模型发动机计算盐水的物种的最可能分布,并使用自由离子浓度来计算矿物质,石膏,重晶石,Celestite和二氧化硅等矿物的规模的驱动力。也可以使用该方法进行建模基于磷酸钙的尺度。还描述了用于优化规模抑制剂剂量的模型,包括从实验室数据,现场数据或两者的组合中开发尺度抑制剂的有效剂量调制模型至关重要的参数。本文借鉴了诱导时间的概念作为用于从实际数据开发预测模型的数学模型的基础。该模型基于阈值效应抑制剂不会防止刻度形成的概念,它们仅延迟不可避免。该模型与当前的理论和实践以及将鳞片抑制剂视为延伸诱导时间前延长晶体形成和/或生长在碳酸钙,硫酸钙和硫酸钡的情况下延伸诱导时间的药剂;作为控制磷酸钙和二氧化硅的粒径的分散剂。呈现的模型用于市售抑制剂,并已成功用于选择治疗,并优化反渗透系统,冷却水和油田应用中的剂量。

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