- Using data|driven models to simulate the performance of surfactants ...🔍
- Can Machine Learning Predict the Phase Behavior of Surfactants?🔍
- Modeling and numerical simulation of surfactant systems with ...🔍
- Machine Learning Prediction and Optimization of CO2 Foam ...🔍
- Predicting the Temperature Dependence of Surfactant CMCs Using ...🔍
- predicting|critical|micelle|concentrations|for|surfactants|using|graph ...🔍
- Partitioning of Hydrophobic Organic Compounds to Sorbed ...🔍
- Modeling Wettability Alteration by Surfactants in Naturally Fractured ...🔍
Using data|driven models to simulate the performance of surfactants ...
Using data-driven models to simulate the performance of surfactants ...
Due to the mobility improvements, oil-in-water (O/W) emulsions have shown favorable impacts in chemical enhanced oil recovery (EOR) and heavy ...
Using data-driven models to simulate the performance of surfactants ...
The algorithms used pressure, temperature, salinity, surfactant concentration, type of surfactant, shear rate, and crude oil density as inputs.
Can Machine Learning Predict the Phase Behavior of Surfactants?
Machine learning (ML) approaches offer a potentially exciting route to rapid prediction of surfactant properties based on models built from pre- ...
Modeling and numerical simulation of surfactant systems with ...
So far, there are many researches on constructing the fluid-surfactant phase field model [2], [3], [4]. Such as the binary fluid-surfactant model with fluid ...
Machine Learning Prediction and Optimization of CO2 Foam ...
Data-driven approaches can be an alternative method to the time-consuming experimental and conventional modeling techniques, which often face ...
Predicting the Temperature Dependence of Surfactant CMCs Using ...
Then, we compare our GNN model with predictive CMC models from previous works (Section 4.2). We further analyze the predictive performance for ...
Predictive models for CMC of pure surfactants have been developed based on recent ML methods, however, in practice surfactant mixtures are ...
predicting-critical-micelle-concentrations-for-surfactants-using-graph ...
This data representation thus differs from that used in QSPR models, in which ... We compared the predictive performance of molecular simulations on the same test ...
Partitioning of Hydrophobic Organic Compounds to Sorbed ...
A one-dimensional numerical model was developed to simulate the performance of surfactant-enhanced remediation ... model sandy aquifer was simulated using the ...
Predicting the Temperature Dependence of Surfactant CMCs Using ...
We also find that the model performance varies by surfactant ... The GNN model also outperforms previously developed data-driven models for ...
Modeling Wettability Alteration by Surfactants in Naturally Fractured ...
A chemical-flooding simulator is adapted to model improved-oil-recovery processes involving wettability alteration using surfactants. Multiple relative ...
Toward Reservoir-on-a-Chip: Rapid Performance Evaluation of ...
Prior to the field deployment, the surfactant performance must be evaluated using site-specific crude oil at reservoir conditions. Core flood ...
Research on the timing for subsequent water flooding in Alkali ...
Similar content being viewed by others. Using data-driven models to simulate the performance of surfactants in reducing heavy oil viscosity.
SURFACTANT LEACHING TEST METHOD DEVELOPMENT
• Use data from exterior testing to model and simulate real- world ... • Excellent exterior performance as anticipated. • Wide formulation latitude.
Data-Driven Modeling Approach to Predict the Recovery ...
In another work by Kalam et al. [32] they successfully developed a Data-Driven Model to Predict the Recovery Performance of Low-Salinity Waterfloods. The ...
Review of the Interfacial Structure and Properties of Surfactants in ...
... with experimental data can provide a comprehensive explanation from ... Using the MD simulation method, the factors that influence the interfacial performance ...
An Advanced Chemical Technique for Enhancing Oil Recovery
After surfactant flooding operations are completed, simulation technology is used to evaluate project performance and conduct post-simulation ...
Molecular dynamics simulation of four typical surfactants in aqueous ...
The mainly force for micellization process is entropy-driven, and as the temperature increases, the entropy-driven contribution is gradually ...
1 Studying Surfactants Adsorption on Heterogeneous Substrates ...
However, our ability to predict the structure of adsorbed surfactant films is based on studies performed for model systems on well characterised,. Page 9. 9.
Simulation of surfactant adsorption at liquid–liquid interface
The present work attempts to systematically explore the surfactant sorption at liquid–liquid interfaces with coarse-grained models targeting ...