Knowledge-based Collaborative Engineering of Pipe Networks in the Upstream and Downstream Petroleum Industry

Sheremetov, Leonid; Batyrshin, Ildar; Chi, Manuel; Vergara, E.; Rosales, Alirio

doi:10.1109/cscwd.2007.4281479

Cited by 8 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…23 There is a lack of systematic analysis accounting for both the theoretical and software approach. [24][25][26][27] This paper attempts to highlight a procedure of flexibility analysis, which will lead to improved results and clear understanding of different constraints involved in the flexibility analysis of piping system. After modeling the whole system on CAESAR II software, displacement analysis was first done to determine the maximum support span and restraint locations.…”

Section: Methodsmentioning

confidence: 99%

A methodology for flexibility analysis of process piping

Zahid

Khan

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part E:

View full text Add to dashboard Cite

Design of piping system requires a systematic consideration of various factors as addressed by the codes and standards. This research paper aims to provide a method for flexibility analysis of a selected area of process piping at an industrial plant. Analysis is done for the purpose of accommodating a spare heat exchanger in the process layout. The analysis follows a systematic procedure, with preparation of a tentative model of the system on CAESAR II software followed by insertion of different pipe supports. The selection and location of these supports is based on the results obtained from displacement, stress, reaction and equipment nozzle analysis of the piping system. The design is in accordance with ASME B31.3, which is the standard code for process piping. The proposed method can be adapted for piping configuration of any industrial plant. With the provision of a systematic procedure, the method ensures time saving and efficient flexibility analysis of any piping system.

show abstract

Section: Methodsmentioning

confidence: 99%

A methodology for flexibility analysis of process piping

Zahid

Khan

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part E:

View full text Add to dashboard Cite

show abstract

“…Although many researchers tend to use human-machine cooperation methodology replacing pure computer intelligence when using artificial intelligence solving hard task [4][5], corresponding researchers have not considered domain personnel's demands of knowledge in intelligent system, neither how professional cooperate with computer on disposing problems. So during setting up GIERL, a man-machine cooperation knowledge model has been put forward that based on Ontology and object-oriented technology, which can be referred by similar man-machine cooperation system.…”

Section: Introductionmentioning

confidence: 99%

Human-Machine Collaborative Knowledge Modeling in Railway Location Intelligent Environment

Han

Zhu

Cheng

et al. 2013

AMM

View full text Add to dashboard Cite

Human and computer need interchange knowledge when they tackle a common task collaboratively. But knowledge they use should represented in different forms, so they can work efficiently. Based on Ontology and (Object-Oriented) O-O technology, a knowledge modeling method for human-machine collaboration was proposed to build GIS-based Intelligent Environment for Railway Location (GIERL). Human-machine collaborative knowledge is comprised of Knowledge for Professional and for Computer, both of which are modeled as ontologies and connected to each other by Concept-Relation Dictionary. Knowledge for Computer are represented by O-O, rules of which described by hierarchical model and bi-formal model, and Problem Solving Knowledge as Control Knowledge of Inference Engine. The conceptual model of Knowledge for Professional are represented as simplified Semantic Web, and realized as knowledge forest with Meta-Knowledge by O-O and Microsoft Flow-Document technology when represents it. The proposed method has been successfully used to establish GIERL.

show abstract