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Novel natural gas molecular weight calculator equation as a functional of only temperature, pressure and sound speed

机译:新型天然气分子量计算器方程式仅具有温度,压力和声速的函数

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In city gate stations (CGS) experimental facilities are currently employed to specify natural gas compositions and subsequently calculate its density. Then, natural gas mass flow rate is calculated by employing an Ultrasonic Flow Meter (UFM), and a volume corrector to convert the given value to its equivalent in standard conditions. As online measurement of natural gas compositions is a costly and difficult task, this study presents an innovative method for natural gas mass flow metering in CGSs. In this method, a novel correlation, which is a functional of only three simple measurable variables i.e. temperature, pressure and sound speed, is presented for calculating natural gas molecular weight, and then, employing the authentic equations of state (EOS) of AGA8 for natural gas, its density could be calculated. The correlation was developed based on curve fitting and data mining approaches on a large database associated with four different natural gas fields of Iran and its accuracy was validated with available experimental data for seven other Iran's natural gas fields and two more gases with sample compositions. Each database in correlation development and validation stage (13 databases altogether) consists of 17,000 sound speed values in all possible temperature and pressure ranges in CGSs after expansion process. Mean absolute error (MAE) and mean absolute percentage error (MADE) methods are used to validate the correlation accuracy and compare its performance with the correlation presented previously for the same objective. The evaluation results prove high prediction accuracy for the presented correlation and its superiority comparing to the previous work. (C) 2016 Elsevier B.V. All rights reserved.
机译:目前,在城市门站(CGS)中,实验设施用于指定天然气成分并随后计算其密度。然后,通过使用超声波流量计(UFM)和体积校正器将给定值转换为标准条件下的等效值来计算天然气质量流量。由于在线测量天然气成分是一项昂贵且艰巨的任务,因此本研究提出了一种用于CGS中天然气质量流量计量的创新方法。在这种方法中,提出了一种新颖的相关性,该函数仅是三个简单的可测量变量(即温度,压力和声速)的函数,用于计算天然气分子量,然后使用AGA8的真实状态方程(EOS)进行计算。天然气,可以计算其密度。相关性是基于曲线拟合和数据挖掘方法在与伊朗四个不同天然气田有关的大型数据库上开发的,其准确性已通过其他七个伊朗天然气田以及另外两个具有样品成分的天然气的可用实验数据进行了验证。在关联开发和验证阶段的每个数据库(总共13个数据库)在扩展过程之后,在CGS中所有可能的温度和压力范围内由17,000个声速值组成。平均绝对误差(MAE)和平均绝对百分比误差(MADE)方法用于验证相关精度,并将其性能与先前针对同一目标提供的相关性能进行比较。评估结果证明了所提出的相关性及其与以前的工作相比具有较高的预测精度。 (C)2016 Elsevier B.V.保留所有权利。

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