?url_ver=Z39.88-2004&rft_id=10.1002%2Fceat.202100359&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aulast=Sayani&rft.au=Sayani%2C+J.K.S.&rft.aufirst=J.K.S.&rft.atitle=Development+of+a+Prediction+Model+for+Gas+Hydrate+Formation+in+Multiphase+Pipelines+by+Artificial+Intelligence&rft.pages=1482-1488&rft.issue=8&rft.volume=45&rft.issn=09307516&rft.date=2022&rft.title=Chemical+Engineering+and+Technology&rft.genre=article