A decision support tool for the conceptual design of de-oiling systems

Badria Al-Shihi, Paul W.H. Chung, Richard G. Holdich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

De-oiling of petroleum wastewater is a major concern in petroleum process engineering. Decision support systems (DSS) have been used in assisting operators in evaluating different disposal options of production water, but not the de-oiling process. Also, no application has been reported in assisting the de-oiling of other petroleum waters such as process, ballast or drainage water. This paper describes a DSS for the COnceptual DEsign of de-oiling Systems (CODES) for handling different types of waste water by supporting the tasks of: - assessing the types and magnitudes of waste-water streams - exploring the feasibility of mixing different streams. - selecting the types of de-oiling equipment at different stream locations - considers the need for multi-stage treatment to meet quality requirements stated in standards and regulations. CODES is implemented in Microsoft Excel and is accessed via a web-based front-end.

Original languageEnglish
Title of host publicationIntelligent Problem Solving
Subtitle of host publicationMethodologies and Approaches - 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000, Proceedings
PublisherSpringer Verlag
Pages334-344
Number of pages11
Volume1821
ISBN (Print)3540676899, 9783540450498
DOIs
Publication statusPublished - 2000
Event13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000 - New Orleans, United States
Duration: Jun 19 2000Jun 22 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1821
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000
CountryUnited States
CityNew Orleans
Period6/19/006/22/00

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Al-Shihi, B., Chung, P. W. H., & Holdich, R. G. (2000). A decision support tool for the conceptual design of de-oiling systems. In Intelligent Problem Solving: Methodologies and Approaches - 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000, Proceedings (Vol. 1821, pp. 334-344). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1821). Springer Verlag. https://doi.org/10.1007/3-540-45049-1_41