拉格朗日插值在天然气产量随时间估计中的应用研究

M. Korkmaz
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引用次数: 0

摘要

在这项研究中,拉格朗日插值可以作为一种替代模型,通过线性或非线性模型的所有数据点,应用于实验数据,天然气产量的发现基于时间。得到拉格朗日插值后,可以找到极值点、拐点(如果存在的话)。对于某些中间水平,也可以找到它的估计值。此外,对于期望的结果值,可以估计其中间水平。给出了拉格朗日插值图。利用拉格朗日插值技术可以估计出上述值的置信水平为95%的标准误差。给出了标准误差曲线图。此外,还可以估计缺失的数据值,并与观测值进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study on the Application of Lagrange Interpolation to the Estimations of Gas Production Based over Time
In this study, Lagrange interpolation which could be an alternative modeling passing throughout exactly all data points with respect to linear or nonlinear models was applied to the experimental data, the findings of gas production based over time. After getting Lagrange interpolation, extremum points, turning points (if exists) could be found. Also for some intermediate level, its estimate values could be found. Furthermore, for a desired result value, its intermediate level could be estimated. The graphs of Lagrange interpolation were given. The standard errors with confidence level 95% of the values mentioned above could be estimated by using Lagrange interpolation technique. The graphs of standard errors were given. In addition, missing data values can be estimated and compared with observation value.
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