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首页> 外文期刊>Journal of Petroleum Science & Engineering >Calculation of Klinkenberg permeability, slip factor and turbulence factor of core plugs via nonlinear regression
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Calculation of Klinkenberg permeability, slip factor and turbulence factor of core plugs via nonlinear regression

机译:通过非线性回归计算芯塞的克林根伯格渗透率,滑移因子和湍流因子

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摘要

Published methods to determine the Klinkenberg permeability, Klinkenberg slip factor and Forchheimer turbulence factor of core plugs can exhibit considerable error. Jones presented a technique based on gas pressure decay measurements during the transient state, where, with a single run, an algorithm can calculate the parameters with precision. However, this paper shows that Jones' method is based on a linear regression to find a fixed point of a nonlinear error function, and is presented without theoretical justification or convergence conditions. This paper proposes a simple algorithm, based on nonlinear regression, to calculate the unknown parameters, and has the advantage of theoretical justification as well as weaker requirements for convergence. In addition, a strategy to calculate the unknown physical parameters when the measurements are noisy is presented.
机译:确定芯塞的克林根贝格渗透率,克林根贝格滑动系数和Forchheimer湍流因子的已公开方法可能会表现出相当大的误差。琼斯提出了一种基于瞬态状态下气压衰减测量的技术,该算法只需运行一次,即可通过算法精确计算参数。然而,本文表明琼斯方法基于线性回归来找到非线性误差函数的固定点,并且在没有理论依据或收敛条件的情况下提出。本文提出了一种基于非线性回归的简单算法来计算未知参数,具有理论上的优势以及收敛性较弱的优点。此外,提出了一种在测量结果嘈杂时计算未知物理参数的策略。

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