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Application of clustering analysis in oil wells corrosion and scaling management

机译:聚类分析在油井腐蚀和扩大管理中的应用

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This article demonstrates a method to make classification and dosing control for oil wells. To find the main factors that caused the corrosion and scaling in oil wells, water quality data of one oil production plant were made principal component analysis. Then the oil wells were divided into four types by using spss19.0 clustering analysis software according to the differences among main factors. Finally, wells dosing were applied in the field according to the classification. The effect is obvious, the corrosion inhibition rate can reach 70% above, and scale inhibition rate of calcium carbonate can reach 90% above. Costs savings of all the wells add up to 5390 thousands.
机译:本文演示了一种对油井进行分类和计量控制的方法。为了找到引起油井中腐蚀和缩放的主要因素,将一个石油生产厂的水质数据进行了主要成分分析。然后根据主要因素之间的差异,通过SPS19.0聚类分析软件将油井分为四种类型。最后,根据分类,井剂量在现场应用。效果显而易见,腐蚀抑制率可达70%以上,碳酸钙的比例抑制率可达90%以上。所有井的成本节省高达5390万人。

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