Abstract
Since the transportation task of China’s Secondary Dong-Lin crude pipeline has been changed from Shengli oil to both Shengli and Oman oils, its transportation scheme had to be changed to “batch transportation”. To determine the details of batch transportation, large amounts of simulations should be performed, but massive simulation times could be costly (they can take hundreds of days with 10 computers) using the finite volume method (FVM). To reduce the intolerable time consumption, the present paper adopts a “body-fitted coordinate-based proper orthogonal decomposition reduced-order model” (BFC-POD-ROM) to obtain faster simulations. Compared with the FVM, the adopted method reduces the time cost of thermal simulations to 2.2 days from 264 days. Subsequently, the details of batch transportation are determined based on these simulations. The Dong-Lin crude oil pipeline has been safely operating for more than two years using the determined scheme. It is found that the field data are well predicted by the POD reduced-order model with an acceptable error in crude oil engineering.
Highlights
This paper focuses on the fast thermal scheme determination for oils batching transportation inChina’s Secondary Dong-Lin crude pipeline, which is obtained by the proper orthogonal decomposition based reduced-order model (POD-ROM) method
To the author’s knowledge, the POD-based ROMs in the relevant literature are established for a fixed physical domain, the boundary conditions and initial fields might vary, while, for the Secondary Dong-Lin crude oil pipeline, the physical domains vary along the pipeline since its diameter and buried depth is different from place to place
The current research group first proposes a “body-fitted coordinate-based proper orthogonal decomposition reduced-order model” (BFC-POD-ROM) for the heat transfer problem [19,20], in which physical domains with different shapes or sizes can be mapped to the same computational domain
Summary
This paper focuses on the fast thermal scheme determination for oils batching transportation in. China’s Secondary Dong-Lin crude pipeline, which is obtained by the proper orthogonal decomposition based reduced-order model (POD-ROM) method. To the author’s knowledge, the POD-based ROMs in the relevant literature are established for a fixed physical domain, the boundary conditions and initial fields might vary, while, for the Secondary Dong-Lin crude oil pipeline, the physical domains vary along the pipeline since its diameter and buried depth is different from place to place To solve this problem, the current research group first proposes a “body-fitted coordinate-based proper orthogonal decomposition reduced-order model” (BFC-POD-ROM) for the heat transfer problem [19,20], in which physical domains with different shapes or sizes can be mapped to the same computational domain. The predicted oil temperature distributions are verified through the field data of the Secondary Dong-Lin crude pipeline
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