@article{2158,
  author = {ZHU Zheng-Ping, PAN Ren-Fang, CHEN Zhe, LI Gong-Quan, ZHENG Guo-Sheng},
  title = {Analysis on Cloud Data Service Platform for Digital Oilfields},
  journal = {Journal of Digital Information Management},
  year = {2016},
  volume = {14},
  number = {6},
  doi = {},
  url = {http://dline.info/fpaper/jdim/v14i6/jdimv14i6_7.pdf},
  abstract = {Digital oilfields are highly complicated
information systems, and their size increases as the
enterprise scale expands. Cloud computing as a new
service model has been gradually extended from the
traditional IT industry to traditional industrial domains, but
research on and the application of the digital oilfield cloud
platform remain lacking. By introducing the reference frame
of the integrated platform of oil enterprises at home and
abroad, we adopt the design method of the integrated
architecture of enterprises and the metadata-based
object-oriented development model based on the design
concept of cloud computing to identify efficient and
inexpensive information platform solutions. Research is
conducted on a cloud data service management system
for digital oilfields. The overall structure of the cloud
platform for digital oilfields is divided into five layers of
infrastructure, data resources, functional services,
applications, and terminal access and into two support
subsystems, namely, cloud information specifications and
standards and cloud service management platform. The
cloud data service platform is generalized as an
architecture with "a center, three layers, two buses, and
two sub-functional systems." Results show that the cloud
data management system performs the four core functions
of model, data bus, data service bus, and data quality
control management. Furthermore, integrating cloud
computing into the transformation and upgrading of
traditional industries is feasible and applicable to other
related fields.},
}