<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This article discusses the impact of choosing a data preprocessing method for the calculated gas density necessary to determine the sorption capacity of a material. The sample of gas-bearing shale was subjected to a volumetric sorption test. The obtained data, pressure and temperature were preprocessed by three methods: moving average, polynomial regression and locally weighted scatterplot smoothing. The results include the excess and absolute sorption calculated from data that were filtered, and data without pre-treatment and Langmuir isotherms’ coefficients for every case.</p></abstract>

This article discusses the impact of choosing a data preprocessing method for the calculated gas density necessary to determine the sorption capacity of a material. The sample of gas-bearing shale was subjected to a volumetric sorption test. The obtained data, pressure and temperature were preprocessed by three methods: moving average, polynomial regression and locally weighted scatterplot smoothing. The results include the excess and absolute sorption calculated from data that were filtered, and data without pre-treatment and Langmuir isotherms’ coefficients for every case.

Data Preprocessing and Its Influence on the Adsorption Capacity of Calculated Shale. Comparison of Selected Methods: A Case Study

Mineralogia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

This article discusses the impact of choosing a data preprocessing method for the calculated gas density necessary to determine the sorption capacity of a...

Data Preprocessing and Its Influence on the Adsorption Capacity of Calculated Shale. Comparison of Selected Methods: A Case Study

Publicado en línea: 01 dic 2017

Páginas: 157 - 165

Recibido: 21 abr 2017

Aceptado: 05 dic 2017

DOI: https://doi.org/10.1515/mipo-2017-0018

Palabras clave
data preprocessing, sorption capacity

© 2018 Patrycja Waszczuk, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Data Preprocessing and Its Influence on the Adsorption Capacity of Calculated Shale. Comparison of Selected Methods: A Case Study

Publicado en línea: 01 dic 2017

Páginas: 157 - 165

Recibido: 21 abr 2017

Aceptado: 05 dic 2017

DOI: https://doi.org/10.1515/mipo-2017-0018

Palabras clavedata preprocessing, sorption capacity

© 2018 Patrycja Waszczuk, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Palabras clave
data preprocessing, sorption capacity