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IOP Conference Series Earth and Environmental Science
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Simulation of Steam-flooding Thermal Heavy Oil Recovery Process with Sequential Implicit Method

Authors: Mengchen Yue; Zixin Ping; Xiaohong Wang; Min Wang;
Simulation of Steam-flooding Thermal Heavy Oil Recovery Process with Sequential Implicit Method
Abstract
Abstract Numerical simulation of steam-flooding thermal heavy oil recovery is studied in this paper. Although the traditional full implicit scheme has high stability, it needs to calculate the huge sparse matrix and the computation cost is super expensive; so it cannot meet the needs of practical oil industry production. In this paper, sequential implicit scheme is applied to numerical computation of steam-flooding thermal heavy oil recovery. A quasi-one-dimension numerical example is tested to verify the validity and high efficiency of the proposed method against using traditional fully implicit scheme.
Related Organizations
- University of Science and Technology of China China (People's Republic of)
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
2
Top 10%
Average
Average
gold
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