Journal Article10.1080/10916466.2020.1863986
Light hydrocarbons solvents solubility modeling in bitumen using learning approaches
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TL;DR: Comparison between established models and previous work indicates that the developed model can be a suitable technique for solubility modeling.
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Abstract: In this paper, two types of machine learning, namely neuro-fuzzy inference system (ANFIS) and multilayer perceptron (MLP), have been studied to model light hydrocarbons’ solubility solvent in bitum...
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Citations
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TL;DR: In this paper , the capability of the three intelligence models, artificial neural network (ANN), least squares support vector machine (LSSVM), and adaptive neuro-fuzzy inference system (ANFIS), were evaluated to model the dynamic viscosity of n-alcohol at the different operational conditions.
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References
Phase Behavior and Thermophysical Properties of Peace River Bitumen + Propane Mixtures from 303 K to 393 K
TL;DR: In this paper, phase behavior, phase composition, and phase densities of propane + Peace River bitumen mixtures are reported in the temperature range 303 to 393 K at pressures ranging from 1 to 6 MPa.
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Correlation and prediction of gas solubility in cold lake bitumen
TL;DR: In this paper, the authors used the Kesler-Lee correlations to predict the solubility of CO2+CH4 gas-mixtures in Cold Lake bitumen, and showed that the predicted solubilite is higher by approximately 6 to 9%.
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New Solubility and Viscosity Measurements for Methane–, Ethane–, Propane–, and Butane–Athabasca Bitumen Systems at High Temperatures up to 260 °C
TL;DR: In this article, Wang et al. reported new experimental viscosity and solubility data of methane, ethane, propane, and butane-Athabasca bitumen systems at high temperatures (up to 260 °C).
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Prediction of solubility of CH4, C2H6, CO2, N2 and CO in bitumen
TL;DR: In this article, the authors used the Krichevsky-Ilinkaya equation to predict the solubility of light solvents (CH4, C2H6, CO2, N2 and CO) in bitumen from five reservoirs in Alberta, Canada.
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