ArticleScientific reports2023
Enhanced intelligent approach for determination of crude oil viscosity at reservoir conditions.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
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- Predicting asphaltene precipitation during natural depletion of oil reservoirs by integrating SARA fractions with advanced intelligent models.Scientific reports · 2025Article
- Synthesis, characterization, and optimization of antimicrobial biolubricant derived fromHeliyon · 2025Article
- A rigorous workflow and comparative analysis for accurate determination of vitrinite reflectance using data-driven approaches in the Persian Gulf region.Scientific reports · 2024Article
- Machine learning approaches for estimating interfacial tension between oil/gas and oil/water systems: a performance analysis.Scientific reports · 2024Article
- A comparative study of fracture conductivity prediction using ensemble methods in the acid fracturing treatment in oil wells.Scientific reports · 2024Article
- Enhanced machine learning-ensemble method for estimation of oil formation volume factor at reservoir conditions.Scientific reports · 2023Article
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Authors and funding
3 authors.
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Abstract
Oil viscosity plays a prominent role in all areas of petroleum engineering, such as simulating reservoirs, predicting production rate, evaluating oil well performance, and even planning for thermal enhanced oil recovery (EOR) that involves fluid flow calculations. Experimental methods of determining oil viscosity, such as the rotational viscometer, are more accurate than other methods. The compositional method can also properly estimate oil viscosity. However, the composition of oil should be determined experimentally, which is costly and time-consuming. Therefore, the occasional inaccessibility of experimental data may make it inevitable to look for convenient methods for fast and accurate prediction of oil viscosity. Hence, in this study, the error in viscosity prediction has been minimized by taking into account the amount of dissolved gas in oil (solution gas-oil ratio: R
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