一个新的数学模型用于模拟死油的粘度和温度关系
Alireza Dolatyari1, Mohammad Ahmady2, Alireza Kazemi3
1Department of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran.
Scientific reports
|October 1, 2024
概括
这项研究引入了一种新的算法,用于使用非线性回归准确预测碳化合物流体粘度. 该模型即使在有限的数据中也能显示出高精度,从而改善工程应用.
科学领域:
- 石油工程是石油工程中的一个.
- 流体动力学 流体动力学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 准确的粘度预测对于地下和表面运输,热传输和管道设计至关重要.
- 现有的碳化合物流体粘度模型往往缺乏精度或范围有限.
- 准确预测死油粘度仍然是该行业的一个重大挑战.
研究的目的:
- 开发和验证用于准确估计碳化合物流体粘度的数学算法.
- 使用非线性回归,建立流体粘度和温度之间的可靠关系.
- 评估算法在一系列原油类型和不同数据可用性的性能.
主要方法:
- 采用了强大的非线性回归技术来建模粘度和温度之间的关系.
- 该算法应用于来自伊朗原油样本 (从超重到轻) 的243个粘度数据点的数据集.
- 模型的性能是使用最大绝对误差,相对误差和确定系数等指标来评估的.
主要成果:
- 该算法准确地估计了各种原油样本的粘度,其值从0.29cp到5328.74cp不等.
- 观察到的最大误差 (1.25 cp绝对值,6.04%相对值) 是一个API重力为12.92.4的流体.
- 有效的模型使用不到30%的可用数据进行训练,显示高精度.
- 模型在测试数据上实现了接近单元的确定系数,表明强烈的经验数据反射.
结论:
- 开发的数学算法为估计碳化合物流体粘度提供了精确可靠的方法.
- 即使在有限的培训数据下,算法的有效性也得到了证明,这使得它适合实际应用.
- 这项研究证实了该算法精确地反映了各种原油类型的经验粘度数据.
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