Estimation of CO2–brine interfacial tension using an artificial neural network

Zhang, Jiyuan; Feng, Qihong; Wang, Shuhua; Zhang, Xianmin; Wang, Shoulei

doi:10.1016/j.supflu.2015.08.010

Cited by 39 publications

(31 citation statements)

References 43 publications

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“…The storage safety of CO 2 in deep saline aquifers is by far most menaced by the capillary breakthrough due to the excessive CO 2 injection, which is mainly controlled by the interfacial tension (IFT) between CO 2 and brine . Therefore, accurate knowledge about the brine‐CO 2 IFT is of high importance in designing and planning a CO 2 injection process and safety storage operations in such geological media.…”

Section: Introductionmentioning

confidence: 99%

“…The literature review shows that many researchers tried to propose rapid and accurate prediction models appropriate at conditions somewhat similar to the underground storage for prediction of CO 2 ‐brine IFT. Some developed empirical correlations to predict pure or impure CO 2 ‐water and CO 2 ‐brine IFT are mentioned as follows which have been discussed in further detail in : Massoudi and King , Hebach et al , Bennion and Bachu , Li et al , Chalbaud et al , Georgiadis et al , and Li et al . Among the above efforts, the prediction accuracy of last one model, i.e., that of Li et al , is better compared with previous correlations since it is applicable for predicting the IFT of impure CO 2 and water/brine systems.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of Interfacial Tension for Geological CO₂ Storage

Dehaghani

Soleimani

2019

Chem Eng & Technol

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The effective CO 2 sequestration in saline aquifers as a climate change-lessening solution is mainly governed by the interfacial tension (IFT) behavior between CO 2 and brine. An innovative and competent decision tree-based approach called stochastic gradient boosting (SGB) tree algorithm was applied to predict the CO 2 -aquifer brine IFT as a function of temperature, pressure, and brine salinities. The produced results were compared with the previously reported outcomes of other machine learning models, namely, radial basis function networks, multilayer perceptron networks, least squares support vector machine, and adaptive neuro fuzzy inference system. Amongst all models, the developed SGB tree algorithm provided superior outputs and turned out to be the most accurate tool.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimation of Interfacial Tension for Geological CO₂ Storage

Dehaghani

Soleimani

2019

Chem Eng & Technol

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“…Many others also provided empirical equations based on their experimental results, and most of their data were obtained at high temperatures and pressure ranges and only an NaCl solution was considered. Zhang and Feng summarized the empirical equation available in the literature.…”

Section: Resultsmentioning

confidence: 99%

“…On the other hand, several simulation models were developed by researchers in recent years to estimate CO 2 –brine interfacial tension. Zhang et al . proposed an artificial neural network to estimate CO 2 –brine interfacial tension based accurately on a database available in the literature.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, several simulation models were developed by researchers in recent years to estimate CO 2 -brine interfacial tension. Zhang et al 29 proposed an artificial neural network to estimate CO 2 -brine interfacial tension based accurately on a database available in the literature. The database covers a wide range of temperatures (5.25°C-175°C), pressures (0.1-60.05 MPa), total salinities (0-5 mol·kg −1 ), and mole fractions (0%-80%) of other components, such as K + , Ca 2+ , Mg 2+ , in addition to Na + and CO 2 was mixed by N 2 and CH 4 .…”

Section: Introductionmentioning

confidence: 99%

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Effects of Na⁺, K⁺, Ca²⁺, and Mg²⁺ cations on CO₂–brine interfacial tension under offshore storage conditions

Mutailipu

Jiang

et al. 2018

Greenhouse Gases

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The laboratory determination of CO2‐brine interfacial tension is very important for estimating the storage capacity of saline aquifers during the CO2 sequestration process. In this paper, we measured CO2 and the brine interfacial tension using the pendant‐drop method at a temperature of 285–300 K and pressure of 3–9 MPa. The brine was composed of Na+, K+, Ca2+, and Mg2+ cations with different molalities. The experimental results indicate that interfacial tension increased with temperature and salinity but decreased with pressure until it reached a plateau. At the same temperature and pressure, the plateau value increased with increasing brine salinity for all types of brines used in this work. Moreover, the plateau exists whenever the CO2 is liquid. The interfacial tension between CO2 and brine with bivalent cations is larger than that between CO2 and monovalent brines. Finally, we established an empirical equation based on the relationship between interfacial tension and temperature, pressure, and salt molality grounded on experimental data, which allows the evaluation of CO2–brine interfacial tension values with a mean deviation of ±4 mN·m−1. © 2018 Society of Chemical Industry and John Wiley & Sons, Ltd.

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Toward accurate density and interfacial tension modeling for carbon dioxide/water mixtures

Cui

2020

Pet. Sci.

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Phase behavior of carbon dioxide/water binary mixtures plays an important role in various CO2-based industry processes. This work aims to screen a thermodynamic model out of a number of promising candidate models to capture the vapor–liquid equilibria, liquid–liquid equilibria, and phase densities of CO2/H2O mixtures. A comprehensive analysis reveals that Peng–Robinson equation of state (PR EOS) (Peng and Robinson 1976), Twu α function (Twu et al. 1991), Huron–Vidal mixing rule (Huron and Vidal 1979), and Abudour et al. (2013) volume translation model (Abudour et al. 2013) is the best model among the ones examined; it yields average absolute percentage errors of 5.49% and 2.90% in reproducing the experimental phase composition data and density data collected in the literature. After achieving the reliable modeling of phase compositions and densities, a new IFT correlation based on the aforementioned PR EOS model is proposed through a nonlinear regression of the measured IFT data collected from the literature over 278.15–477.59 K and 1.00–1200.96 bar. Although the newly proposed IFT correlation only slightly improves the prediction accuracy yielded by the refitted Chen and Yang (2019)’s correlation (Chen and Yang 2019), the proposed correlation avoids the inconsistent predictions present in Chen and Yang (2019)’s correlation and yields smooth IFT predictions.

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Estimation of CO2–brine interfacial tension using an artificial neural network

Cited by 39 publications

References 43 publications

Estimation of Interfacial Tension for Geological CO₂ Storage

Estimation of Interfacial Tension for Geological CO₂ Storage

Effects of Na⁺, K⁺, Ca²⁺, and Mg²⁺ cations on CO₂–brine interfacial tension under offshore storage conditions

Toward accurate density and interfacial tension modeling for carbon dioxide/water mixtures

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Estimation of CO2–brine interfacial tension using an artificial neural network

Cited by 39 publications

References 43 publications

Estimation of Interfacial Tension for Geological CO2 Storage

Estimation of Interfacial Tension for Geological CO2 Storage

Effects of Na+, K+, Ca2+, and Mg2+ cations on CO2–brine interfacial tension under offshore storage conditions

Toward accurate density and interfacial tension modeling for carbon dioxide/water mixtures

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Estimation of Interfacial Tension for Geological CO₂ Storage

Estimation of Interfacial Tension for Geological CO₂ Storage

Effects of Na⁺, K⁺, Ca²⁺, and Mg²⁺ cations on CO₂–brine interfacial tension under offshore storage conditions