DocumentCode :
2449827
Title :
High-confidence petroleum industrial critical systems research based on bigraphical models
Author :
Zhai, Huawei ; Zhang, Weishi ; Cui, Licheng ; Xie, Xiong ; Zhang, Xiuguo
Author_Institution :
Dept. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
fYear :
2011
fDate :
14-16 Oct. 2011
Firstpage :
290
Lastpage :
295
Abstract :
In the modern petroleum development and production process, a context-aware and self-adaptive environment is required to satisfy the dynamic changes of the well site operations. With the ubiquitous computing technology, a framework of high-confidence petroleum extraction software system is proposed to capture the system reconfiguration to fit special applications. As a sanity check, a bigraph model with a set of bigraphical reactive rules is used to discuss the structure and the dynamic behaviors of the framework. Finally, an example, with partly implementing the model, is briefly described to confirm the feasibility of the framework models.
Keywords :
graphs; petroleum industry; ubiquitous computing; bigraphical model; context aware environment; high-confidence petroleum extraction software system; high-confidence petroleum industrial critical system research; modern petroleum development; production process; sanity check; selfadaptive environment; system reconfiguration; ubiquitous computing technology; Computational modeling; Geology; Petroleum; Production; Sensors; Software; Ubiquitous computing; bigraph; bigraphical reactive system; high-confidence software system; ubiquitous computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2011 International Conference of
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1195-4
Type :
conf
DOI :
10.1109/SoCPaR.2011.6089258
Filename :
6089258
Link To Document :
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