@inproceedings{scholars13683,
            year = {2020},
            note = {cited By 2; Conference of Abu Dhabi International Petroleum Exhibition and Conference 2020, ADIP 2020 ; Conference Date: 9 November 2020 Through 12 November 2020; Conference Code:165204},
       publisher = {Society of Petroleum Engineers},
         journal = {Society of Petroleum Engineers - Abu Dhabi International Petroleum Exhibition and Conference 2020, ADIP 2020},
           title = {Investigation on the kinetic behavior of gas hydrates based on induction time for a high CO2 mixed gas multiphase pipeline system},
        abstract = {In this work, an experimental investigation has been carried out to understand the Kinetic behavior of gas hydrates formation in a multiphase gas dominant pipeline system. The multiphase system consists of Crude oil, Natural Gas system with high Carbon dioxide and deionized water. Experiments are conducted using the Raman Gas hydrate reactor with the operating conditions in line with the real time conditions. The Induction time was calculated for all the experiments and the kinetic behavior was evaluated. Also, a statistical regression model has been developed to predict the induction time. Also, this model is used for evaluating the most influential parameters on induction time prediction. It was found that the Induction time plays a major role in the kinetics of gas hydrates. The observations suggested that the higher the induction, the gas hydrates formation initiation is delayed. Copyright {\^A}{\copyright} 2020, Society of Petroleum Engineers},
        keywords = {Carbon dioxide; Deionized water; Gases; Gasoline; Hydration; Kinetics; Pipelines; Piping systems; Regression analysis; Water pipelines, Experimental investigations; Gas hydrates formation; Multi phase systems; Multiphase pipelines; Natural gas systems; Operating condition; Pipe-line systems; Statistical regression model, Gas hydrates},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097528529&partnerID=40&md5=c5fd2f42af4b62673c40556629cdf881},
            isbn = {9781613997345},
          author = {Sahith Sayani, J. K. and Yadavalli, S. S. and Mamidi, L. T. and Kamireddi, V. R.}
}