Design Automation for Interwell Connectivity Estimation in Petroleum Cyber-Physical Systems
Document Type
Article
Publication Date
2-1-2017
Abstract
© 2016 IEEE. In a petroleum cyber-physical system (CPS), interwell connectivity estimation is critical for improving petroleum production. An accurately estimated connectivity topology facilitates reduction in the production cost and improvement in the waterflood management. This paper presents the first study focused on computer-aided design for a petroleum CPS. A new CPS framework is developed to estimate the petroleum well connectivities. Such a framework explores an innovative water/oil index integrated with the advanced cross-entropy optimization. It is applied to a real industrial petroleum field with massive petroleum CPS data. The experimental results demonstrate that our automated estimations well match the expensive tracer-based true observations. This demonstrates that our framework is highly promising.
Publication Title
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Recommended Citation
Chen, X.,
Zhang, D.,
Wang, L.,
Jia, N.,
Kang, Z.,
Zhang, Y.,
&
Hu, S.
(2017).
Design Automation for Interwell Connectivity Estimation in Petroleum Cyber-Physical Systems.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,
36(2), 255-264.
http://doi.org/10.1109/TCAD.2016.2584065
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10981