Show simple item record

dc.contributor.authorLiu, Guangfeng
dc.contributor.authorFan, Zhaoqi
dc.contributor.authorLi, Xiaoli
dc.contributor.authorGu, Daihong
dc.identifier.citationInd. Eng. Chem. Res. 2018, 57, 17024−17031en_US
dc.description.abstractThe equation of state (EOS) has been extensively used to evaluate the saturation pressures of petroleum fluids. However, the accurate determination of empirical parameters in the EOS is challenging and time-consuming, especially when multiple measurements are involved in the regression process. In this work, an ensemble smoother (ES) -assisted EOS method has been proposed to compute the saturation pressure by intelligently optimizing the to-be-tuned parameters. To be specific, the to-be-tuned parameters for the Peng–Robinson EOS (PR EOS) are integrated into a model input matrix and the measured saturation pressures are collected into a model output matrix. The model input matrix is then integrally and iteratively updated with respect to the model output matrix by using the iterative ES algorithm. For convenience, an in-house module is compiled to implement the ES-assisted EOS for determining the saturation pressures of crude oils. Subsequently, the experimentally measured saturation pressures of 45 mixtures of heavy oil and solvents are used to validate the performance of the in-house module. In addition, 130 measured saturation pressures of worldwide light oil samples are collected to verify the applicability of the developed ES-assisted EOS method. The in-house module is found to be competent by not only matching 45 measured saturation pressures with a better agreement than a commercial simulator but also providing a quantitative means to analyze the uncertainties associated with the estimated model parameters and the saturation pressure. Moreover, the application of the ES-assisted EOS to 130 light oil samples distinctly demonstrates that the new method greatly improves the accuracy and reliability of the EOS regression. Consequently, the in-house module representing the ES-assisted EOS is proven as an efficient and flexible tool to determine the saturation pressure under various conditions and implement uncertain analyses associated with the saturation pressure.en_US
dc.publisherAmerican Chemical Societyen_US
dc.rightsCopyright © 2018 American Chemical Societyen_US
dc.titleEstimate of Saturation Pressures of Crude Oil by Using Ensemble-Smoother-Assisted Equation of Stateen_US
kusw.kuauthorFan, Zhaoqi
kusw.kuauthorLi, Xiaoli
kusw.kudepartmentChemical and Petroleum Engineeringen_US
kusw.oanotesPer Sherpa Romeo 05/20/2021:

Industrial & Engineering Chemistry Research [Open panel below]Publication Information TitleIndustrial & Engineering Chemistry Research (IECRED) [English] ISSNs Print: 0888-5885 Electronic: 1520-5045 URL PublishersAmerican Chemical Society [Society Publisher] [Open panel below]Publisher Policy Open Access pathways permitted by this journal's policy are listed below by article version. Click on a pathway for a more detailed view.

Published Version [pathway a]

NoneCC BYPMC PMC, Funder Designated Location, Journal Website Published Version [pathway b]

12mCC BY Institutional Repository, PMC, Author's Homepage, +1 OA FeeThis pathway has an Open Access fee associated with it Embargo12 Months Licence CC BY 4.0 CC BY-NC-ND 4.0 Publisher's Bespoke License Copyright OwnerPublishers Location Author's Homepage Institutional Repository Named Repository (PubMed Central) Journal Website NotesThe fee for this pathway is lower than that for immediate open access
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US

Files in this item


This item appears in the following Collection(s)

Show simple item record