Physics-informed Student’s t mixture regression model applied to predict mixed oil length

Author:

Yuan Ziyun,Chen Lei,Liu GangORCID,Shao Weiming,Zhang Yuhan,Ma Yunxiu

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Mechanical Engineering,Energy (miscellaneous),Fluid Flow and Transfer Processes

Reference30 articles.

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3. Baptista, R.M., Rachid, F.B. de F., de Araujo, J.H.C., 2001. Mixing volume evaluation under pumping shut-down conditions.

4. Application of a heterogenous multiscale method to multi-batch driven pipeline;Blažič;Appl. Math. Model.,2014

5. A novel predictive model of mixed oil length of products pipeline driven by traditional model and data;Chen;J. Pet. Sci. Eng.,2021

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