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- Publisher Website: 10.1016/j.future.2018.12.014
- Scopus: eid_2-s2.0-85060101229
- WOS: WOS:000465509600030
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Article: Economical and balanced production in smart Petroleum Cyber–Physical System
Title | Economical and balanced production in smart Petroleum Cyber–Physical System |
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Authors | |
Keywords | Cyber–Physical Systems Optimizations Petroleum production Social systems Stochastic programming |
Issue Date | 2019 |
Citation | Future Generation Computer Systems, 2019, v. 95, p. 364-371 How to Cite? |
Abstract | In Petroleum Cyber–Physical Social workflows, monetary profit optimization is essential. In this work, a production optimization approach for the Petroleum Cyber–Physical System is proposed which spans the field production to the petroleum social market. Dynamic Programming technique, Linear Programming technique and Stochastic Programming technique are first utilized to improve the monetary profit for a single petroleum company. A market-driven petroleum social workflow aware production optimization technique is then proposed to facilitate profit optimization among multiple petroleum companies. The case study result shows that the monetary income can be increased up to 311.67% in an one year time span. |
Persistent Identifier | http://hdl.handle.net/10722/336211 |
ISSN | 2023 Impact Factor: 6.2 2023 SCImago Journal Rankings: 1.946 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chen, Xiaodao | - |
dc.contributor.author | Fan, Junqing | - |
dc.contributor.author | He, Qing | - |
dc.contributor.author | Wang, Yuewei | - |
dc.contributor.author | Liu, Dongbo | - |
dc.contributor.author | Hu, Shiyan | - |
dc.date.accessioned | 2024-01-15T08:24:30Z | - |
dc.date.available | 2024-01-15T08:24:30Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Future Generation Computer Systems, 2019, v. 95, p. 364-371 | - |
dc.identifier.issn | 0167-739X | - |
dc.identifier.uri | http://hdl.handle.net/10722/336211 | - |
dc.description.abstract | In Petroleum Cyber–Physical Social workflows, monetary profit optimization is essential. In this work, a production optimization approach for the Petroleum Cyber–Physical System is proposed which spans the field production to the petroleum social market. Dynamic Programming technique, Linear Programming technique and Stochastic Programming technique are first utilized to improve the monetary profit for a single petroleum company. A market-driven petroleum social workflow aware production optimization technique is then proposed to facilitate profit optimization among multiple petroleum companies. The case study result shows that the monetary income can be increased up to 311.67% in an one year time span. | - |
dc.language | eng | - |
dc.relation.ispartof | Future Generation Computer Systems | - |
dc.subject | Cyber–Physical Systems | - |
dc.subject | Optimizations | - |
dc.subject | Petroleum production | - |
dc.subject | Social systems | - |
dc.subject | Stochastic programming | - |
dc.title | Economical and balanced production in smart Petroleum Cyber–Physical System | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.future.2018.12.014 | - |
dc.identifier.scopus | eid_2-s2.0-85060101229 | - |
dc.identifier.volume | 95 | - |
dc.identifier.spage | 364 | - |
dc.identifier.epage | 371 | - |
dc.identifier.isi | WOS:000465509600030 | - |