In Silico Calculation of Infinite Dilution Activity Coefficients of Molecular Solutes in Ionic Liquids: Critical Review of Current Methods and New Models Based on Three Machine Learning Algorithms

2016 ◽  
Vol 56 (8) ◽  
pp. 1420-1437 ◽  
Author(s):  
Kamil Paduszyński
Keyword(s):  
Machine Learning ◽  
Ionic Liquids ◽  
Activity Coefficients ◽  
Critical Review ◽  
In Silico ◽  
Infinite Dilution ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Infinite Dilution Activity Coefficients ◽  
New Models

Low Resistivity Pay Carbonates: A Practical Approach to Quantify Water Saturation Using a Modified Archie's Model

2021 ◽  
Author(s):  
Ramsin Eyvazzadeh ◽  
Abdullatif Al-Omair ◽  
Majed Kanfar ◽  
Achong Christon
Keyword(s):  
Machine Learning ◽  
Water Saturation ◽  
Pore Space ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Theoretical Research ◽  
Low Contrast ◽  
Practical Applications ◽  
Low Resistivity ◽  
New Models

Abstract A detailed description of a modified Archie's equation is proposed to accurately quantify water saturation within low resistivity/low contrast pay carbonates. The majority of previous work on low resistivity/low contrast reservoirs focused on clastics, namely, thin beds and/or clay effects on resistivity measurements. Recent publications have highlighted a "non-Archie" behavior in carbonates with complex pore structures. Several theoretical models were introduced, but new practical applications were not derived to solve this issue. Built upon previous theoretical research in a holistic approach, new models and workflows have been developed. Specifically, utilizing a combination of machine learning algorithms, nuclear magnetic resonance (NMR), core and geological data, field specific calibrated equations to compute water saturation (Sw) in complex carbonate formations are presented. Essentially, these new models partition the porosity into pore spaces and calculate their relative contribution to water saturation in each pore space. These calibrated equations robustly produce results that have proven invaluable in pay identification, well placement, and have greatly enhanced the ability to manage these types of reservoirs. This paper initially explains the theory behind the development of the analysis illustrating workflows and validation techniques used to qualify this methodology. A key benefit performing this research is the utilization of machine-learning algorithms to predict NMR derived values in wells that do not have NMR data. Several examples explore where results of this analysis are compared to dynamic testing, formation testing and laboratory measured samples to validate and demonstrate the utility of this new analysis.

scholarly journals Infinite Dilution Activity Coefficients of Solutes Dissolved in Two Trihexyl(tetradecyl)phosphonium Ionic Liquids

2014 ◽  
Vol 59 (6) ◽  
pp. 1877-1885 ◽  
Author(s):  
Fabrice Mutelet ◽  
Dominique Alonso ◽  
Timothy W. Stephens ◽  
William E. Acree ◽  
Gary A. Baker
Keyword(s):  
Ionic Liquids ◽  
Activity Coefficients ◽  
Infinite Dilution ◽  
Infinite Dilution Activity Coefficients ◽  
Phosphonium Ionic Liquids

scholarly journals Imidazolium Based Ionic Liquids: Unbiased Recovering of Vaporization Enthalpies from Infinite-Dilution Activity Coefficients

Molecules ◽  
2021 ◽  
Vol 26 (19) ◽  
pp. 5873
Author(s):  
Sergey P. Verevkin
Keyword(s):  
Ionic Liquids ◽  
General Formula ◽  
Activity Coefficients ◽  
Infinite Dilution ◽  
Reference Temperature ◽  
Organic Solutes ◽  
Imidazolium Cation ◽  
Infinite Dilution Activity Coefficients ◽  
Efficient Approach ◽  
Volatile Organic

We propose and test an efficient approach for the assessment of the enthalpies of vaporization of ionic liquids at the reference temperature 298.15 K. The approach is based on activity coefficients at infinite dilution of volatile organic solutes in ionic liquids bearing the imidazolium cation of the general formula [Cnmim][Anion].

scholarly journals Infinite Dilution Activity Coefficients in the Smectic and Isotropic Phases of Tetrafluoroborate-Based Ionic Liquids

2021 ◽  
Author(s):  
Mónia A. R. Martins ◽  
Sérgio M. Vilas-Boas ◽  
Isabella Weber Cordova ◽  
Pedro J. Carvalho ◽  
Urszula Domańska ◽  
...  
Keyword(s):  
Ionic Liquids ◽  
Activity Coefficients ◽  
Infinite Dilution ◽  
Infinite Dilution Activity Coefficients
Sign in / Sign up

Export Citation Format

Share Document