Machine learning approaches for estimating interfacial tension between oil/gas and oil/water systems: a performance analysis

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 9, 2024

Abstract Interfacial tension (IFT) is a key physical property that affects various processes in the oil and gas industry, such as enhanced recovery, multiphase flow, emulsion stability. Accurate prediction of IFT essential for optimizing these increasing their efficiency. This article compares performance six machine learning models, namely Support Vector Regression (SVR), Random Forests (RF), Decision Tree (DT), Gradient Boosting (GB), Catboosting (CB), XGBoosting (XGB), predicting between oil/gas oil/water systems. The models are trained tested on dataset contains input parameters influence IFT, gas-oil ratio, formation volume factor, density, etc. results show SVR Catboost achieve highest accuracy prediction, with an R-squared value 0.99, while outperforms Oil/Water 0.99. study demonstrates potential reliable resilient tool industry. findings this can help improve understanding optimization forecasting facilitate development more efficient reservoir management strategies.

Language: Английский

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Exploring deformation mechanisms in a refractory high entropy alloy (MoNbTaW)

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 110000 - 110000

Published: Jan. 1, 2025

Language: Английский

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Non-Arrhenius migration and structural evolution of a faceted grain boundary in Ni-Cu alloy under shock-loading: Molecular dynamics simulations

Physica B Condensed Matter, Journal Year: 2025, Volume and Issue: unknown, P. 417072 - 417072

Published: Feb. 1, 2025

Language: Английский

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Role of Crystal Orientation, Temperature, and Strain Rate on the Mechanical Characterization of Nickel: An Atomistic-scale investigation

Journal of Micromanufacturing, Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 11, 2023

In this article, the influence of crystallographic orientation on mechanical properties pristine nickel (Ni) during uniaxial tensile deformation was explored by utilizing molecular dynamics simulations. To study [0 01] and [11 8 5] crystal orientations microstructural evolution Ni, simulations were performed at different temperatures ranging from 100 K to 900 strain rates 10 7 s –1 . The results revealed that Ni with showed a higher elastic modulus than 0 1] orientation, whereas yield strength for combination rates. Also, in comparison system high amount dislocation density point lower At rates, face-centered cubic body-centered transition more prominent it tends decrease increase temperature. Our present work may help materials scientists design can perform according applied temperatures. It is also proposed tailoring achievable exposing various environmental conditions (cryogenic, ambient, elevated rates).

Language: Английский

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Atomistic-Scale Simulations on Grain Boundary Migration Mechanisms Involved in Metals and Alloys: A Critical Review

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 5, 2024

Language: Английский

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Electronic Structural Alterations in LiMn₂O₄ Doped with Cobalt and Vanadium

Materials Chemistry and Physics, Journal Year: 2025, Volume and Issue: unknown, P. 130394 - 130394

Published: Jan. 1, 2025

Language: Английский

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A review of atomistic simulations to study the multiple-elemental alloys

Materials Today Communications, Journal Year: 2025, Volume and Issue: unknown, P. 111823 - 111823

Published: Feb. 1, 2025

Language: Английский

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Influence of fiber dimensions on the mechanical properties of silica glass nanofibers

Discover Nano, Journal Year: 2025, Volume and Issue: 20(1)

Published: Feb. 14, 2025

Abstract The understanding of the mechanical properties in glass nanofibers remains a challenge. As fiber diameter decreases, surface-to-volume atom fraction increases, making impact surface defects more significant. To elucidate these effects, we employed classical molecular dynamics (MD) simulations to investigate how dimensions and layer influence silica nanofibers. Our simulation methodology included fibers varying diameters, generated using two different production methods (i.e. “cutting” “casting” methods) that produce degrees atomic defects, compared with bulk samples without atoms. defect-rich was carefully analyzed. Then, MD tensile were performed analyze effect on explain onset brittle-to-ductile transition experimentally observed at few tens nanometers. results revealed maintains fixed thickness independent diameter, resulting pronounced increase thin fibers. Also, test show significantly reduce strength, appreciably increasing ductility samples. In turn, is not caused by but related balance between fracture energy elastic energy, which varies length. Using experimental values properties, our theory predicted threshold length around 200 nm, below ductile dominates, reasonable agreement results. Graphic abstract

Language: Английский

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Investigation of inhibitive property of hydroxypropyl methylcellulose on acid corrosion of copper using experimental and computational simulation techniques

Bulletin of Materials Science, Journal Year: 2025, Volume and Issue: 48(1)

Published: March 1, 2025

Language: Английский

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High strain rate molecular dynamics simulations of pre-existing edge dislocation in Al, Cu and Ni: Arrhenius to non-Arrhenius transition

Molecular Simulation, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 11

Published: March 28, 2025

Language: Английский

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