Prediction Models of Barite Crystallization and Inhibition Kinetics: Applications for Oil and Gas Industry

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dc.citation.articleNumber8533en_US
dc.citation.issueNumber15en_US
dc.citation.journalTitleSustainabilityen_US
dc.citation.volumeNumber13en_US
dc.contributor.authorDai, Chongen_US
dc.contributor.authorDai, Zhaoyien_US
dc.contributor.authorZhao, Yueen_US
dc.contributor.authorWang, Xinen_US
dc.contributor.authorPaudyal, Samiridhdien_US
dc.contributor.authorKo, Saebomen_US
dc.contributor.authorKan, Amy T.en_US
dc.contributor.authorTomson, Mason B.en_US
dc.date.accessioned2021-08-20T20:24:34Zen_US
dc.date.available2021-08-20T20:24:34Zen_US
dc.date.issued2021en_US
dc.description.abstractBarite is one of the most common mineral scales in the oilfield and its formation can sequester toxic strontium (Sr) and radium (Ra). Various scale inhibitors are widely used to inhibit its formation. The inhibition efficiencies of 18 common inhibitors were tested using an improved kinetic turbidity method over broad oil and gas production conditions. A theoretical and a semi-empirical barite crystallization and inhibition model were developed for the 18 most used scale inhibitors. Both models can work under a broad range of production conditions and are carefully reviewed against all available experimental data. These models have shown wide applications in industrial operations, field testing, and laboratory testing. Using the new models and testing method, a novel fast inhibitor performance testing method was proposed and validated. Furthermore, the barite crystallization and inhibition models also work well to predict the inhibition performance of mixed inhibitors. This study not only advanced barite scale inhibition in an efficiency and low-cost way during oil and gas production, but also provided new insights on understanding the fate and transport of toxic Sr and Ra.en_US
dc.identifier.citationDai, Chong, Dai, Zhaoyi, Zhao, Yue, et al.. "Prediction Models of Barite Crystallization and Inhibition Kinetics: Applications for Oil and Gas Industry." <i>Sustainability,</i> 13, no. 15 (2021) MDPI: https://doi.org/10.3390/su13158533.en_US
dc.identifier.digitalsustainability-13-08533en_US
dc.identifier.doihttps://doi.org/10.3390/su13158533en_US
dc.identifier.urihttps://hdl.handle.net/1911/111317en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsThis is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly citeden_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titlePrediction Models of Barite Crystallization and Inhibition Kinetics: Applications for Oil and Gas Industryen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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