2019
DOI: 10.3176/oil.2019.2s.04
|View full text |Cite
|
Sign up to set email alerts
|

Phenols to Pores to Adsorption. A Potential Route Towards New Methods for Extracting Value From Shale Oil Side Stream

Abstract: A side stream of shale oil production contains alkylresorcinols as main constituents, which could prove to be useful intermediates to highly porous and versatile materials-metal-organic frameworks (MOFs). The latter structures have been used as adsorbents for various organic and inorganic compounds, including organic sulfur containing molecules. In the current work, a pathway from phenolic compounds in shale oil toward metalorganic framework linkers was indicated and its utility was proved by using related met… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 31 publications
0
1
0
Order By: Relevance
“…Selecting the best fitting model is central to understand the underlying mechanisms of the gas release process. Over the past decades, many approaches have been proposed for nonlinear model selection, such as the good-of-fit approach using coefficient of determination ( R 2 or adjusted R 2 ), the F tests, the Akaike information criterion (AIC), and the corrected Akaike information criterion (AIC c ). , Among them, the R 2 or adjusted R 2 are the most widely used approaches to determine the best fitting nonlinear model in the fossil fuel industry, , and this may be a result of the frequent use of commercially statistical software packages, such as Excel, SPSS, Origin, and MATLAB. However, a previous study has shown that the R 2 or adjusted R 2 is valid only for linear instead of the nonlinear model, and the AIC or AIC c performs much better in model selection .…”
Section: Introductionmentioning
confidence: 99%
“…Selecting the best fitting model is central to understand the underlying mechanisms of the gas release process. Over the past decades, many approaches have been proposed for nonlinear model selection, such as the good-of-fit approach using coefficient of determination ( R 2 or adjusted R 2 ), the F tests, the Akaike information criterion (AIC), and the corrected Akaike information criterion (AIC c ). , Among them, the R 2 or adjusted R 2 are the most widely used approaches to determine the best fitting nonlinear model in the fossil fuel industry, , and this may be a result of the frequent use of commercially statistical software packages, such as Excel, SPSS, Origin, and MATLAB. However, a previous study has shown that the R 2 or adjusted R 2 is valid only for linear instead of the nonlinear model, and the AIC or AIC c performs much better in model selection .…”
Section: Introductionmentioning
confidence: 99%