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Forecasting of Naphtha Demand and Supply using Time Serial Data Causal Analysis

机译:时间序列因果分析预测石脑油供需

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Naphtha is an important resource used to produce petrochemical products. Historically, petrochemical companies have been keen to the variations of naphtha prices as it has had great effects on their profits. Naphtha price is closely aligned with crude oil price. In particular, more directly, supply and demand of naphtha affect its price fluctuations. This research is focused to propose an approach for forecasting supply and demand of naphtha, with an emphasis on key affecting factors such as the margin of petrochemical companies and the use of alternative raw material. The demand of naphtha is estimated on the basis of the margin and operation rate of a petrochemical plant, while its supply is affected by operation rate of refinery. Modeling of forecasting naphtha supply/demand, based on time series method, is developed along with absolute errors derived from a statistical analysis; the model at present time is used to forecast future supply/demand over historical time series data from March 2010 to September 2012. Key set of affecting factors are identified by combined heuristic and statistical analysis and a set of equations correlating between those factors are set up. The proposed model was validated by actual data for the underlying period, which should be useful to forecast the price of naphtha.
机译:石脑油是用于生产石化产品的重要资源。从历史上看,石化公司一直热衷于石脑油价格的变化,因为这对他们的利润产生了很大的影响。石脑油价格与原油价格紧密一致。特别是,石脑油的供求关系更直接地影响其价格波动。这项研究的重点是提出一种预测石脑油供需的方法,重点是关键影响因素,例如石化公司的利润率和替代原料的使用。石脑油的需求是根据石化厂的利润率和开工率估算的,而其供应则受炼油厂开工率的影响。开发了基于时间序列方法的预测石脑油供需预测模型,并结合了统计分析得出的绝对误差;该模型目前用于预测2010年3月至2012年9月的历史时间序列数据上的未来供需情况。通过启发式和统计分析相结合的方法,确定了关键的影响因素集,并建立了与这些因素之间相关的一组方程式。 。该模型通过基础时期的实际数据进行了验证,这对于预测石脑油的价格应该是有用的。

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