利用石油性质建立尼日利亚原油扩张率回归模型

A. Olugbenga, M. Yahya, M. U. Garba, A. Mohammed
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引用次数: 2

摘要

本研究的目的是建立一个能够预测尼日利亚原油泄漏在水中扩散速度的扩散速率回归模型。考虑了影响原油在水中扩散速度的主要因素,即表面张力、粘度和比重/美国石油协会度数(0API),所有这些都是在指定的温度值下。在控制因子分析下,交互测量了表面张力、粘度和密度参数。每种原油的扩散速度是通过人工将其洒在实验室静水/死水中的矩形水箱中来确定的,并计算了它们的平均值。利用这些平均值建立了扩散速率的回归模型方程。模型表明,在37.5°C时,平均扩散速率为3.3528 cm/s,并结合比重、粘度和表面张力的相互作用对模型进行了预测回归。可以方便地说,该模型将预测具有计算理化性质的原油在平静海水上的扩散速率,其倾向性平均为15.5°C。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utilization of Oil Properties to Develop a Spreading Rate Regression Model for Nigerian Crude Oil
The target of this study is to develop a spreading rate regression model capable of predicting rate of spread of Nigerian crude oil spills on water. The major factors responsible for spreading rate of crude oil on water were considered, namely surface tension, viscosity, and specific gravity/American Petroleum Institute degree (0API), all at specified temperature values. The surface tension, viscosity and density parameters were interactively measured under controlled factorial analysis. The spreading rate of each crude oil was determined by artificially spilling them on laboratory calm/stagnant water in a rectangular tank and their averages were also computed. These averages were used to develop a regression model equation for spreading rate. The model developed indicated that an average spreading rate was 3.3528 cm/s at 37.5°C and the predictive regression model is evaluated with the interactions of specific gravity, viscosity and surface tension. It is convenient to state that the model will predict the spread rate of crude oils which possess imputed physicochemical properties having pour point averaged 15.5°C on calm seawater.
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