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Tailoring Scale Prediction Models to a Specific Application: Cooling Water

机译:定制规模预测模型到特定应用:冷却水

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摘要

Mineral scale formation is a problem across many industries and in diverse applications and equipment.Each application may have specific characteristics that must be considered if a modelling system is to be reasonably accurate.The modelling of cooling water and oil field production chemistry have been studied extensively since the 1970's and state-of-the-art physical chemistry models developed to simulate them with acceptable accuracy,even under extreme conditions.Open recirculating cooling water predictive models,for example,must incorporate algorithms to concentrate the water treating the process as an”open”system and address cooling system specific situations including pH control methods and even the impact of chlorina-tion.pH prediction of the concentrated recirculating water is a key requirement.
机译:矿物规模形成是许多行业和各种应用和设备的问题。如果建模系统是合理准确的,则应用可能具有必须考虑的特定特征。正在广泛研究冷却水和油田生产化学的建模 自1970年代和最先进的物理化学模型,开发用于以可接受的准确性模拟它们,即使在极端条件下也是在极端条件下。例如,再循环冷却水预测模型,例如,必须包含算法将水将水精制处理该过程的算法。 打开“系统和地址冷却系统特定情况,包括pH控制方法,甚至浓缩循环水的预测的浓缩循环水的影响是一个关键要求。

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