| Issue |
MATEC Web Conf.
Volume 139, 2017
2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017)
|
|
|---|---|---|
| Article Number | 00115 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/201713900115 | |
| Published online | 05 December 2017 | |
Comparative study of prediction methods of gel point of mixed crude oil
1 PetroChina Pipeline Research and Development Center, Lang fang, China
2 Southwest Oil an Gas Field Company Northwest of Sichuan Gas Production District, Mianyang, China
Gel point is an important parameter of the safe pipeline transportation of the waxy crude oil, and predicting the gel point of the mixed crude oil quickly and precisely has a certain practical significance for this kind of mixed transportation. By adopting the scientific evaluation method of the prediction model, the adaptation of the Model Li Chuangwen, Model Liu Tianyou I, Model Liu Tianyou II, and Model Chen Jun to predicting the gel point of mixed crude oil transported in a certain pipeline is analyzed and compared, by which the most appropriate model for the prediction of the mixed crude oil is confirmed. It is found that Model Liu Tianyou I is most suitable for the mixed crude oil. Therefore, from the engineering point of view, for the mixed crude oil mentioned in this text, the gel point calculated by Model Liu Tianyou I has a certain reference value.
Key words: mixed crude oil; / gel point; / prediction model; / evaluation method
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.