Study on the Optimization of the Smart Oilfield Construction

DOI

10.2991/isaeece-16.2016.25How to use a DOI?

Keywords

Smart oilfield; Big data; Integrated module

Abstract

Although the current intelligent oilfield construction is based on the network and other technology such as the internet of things, but it is embodied mainly by individual system, based on fixed localized platform, or established solutions for a particular user. Operating system, remote decision-making system, risk early warning system are just as an independent system using the simple cloud computing, there is no conformity in a same platform. By integrating the existing historical drilling data together, effectively using the visual and data-mining technology to realize the compositive mode of management, construction and maintain of the operations, the controlling of the longitudinal and transverse data. To form the experience-sharing mode of dynamic information, making a comprehensive perception and automatic control of the oilfield, to strengthen the guide of the application. Enriching the ways by which solving the problems that original only depend on the experience of the experts, and making the locality, individuality, discrete, relatively isolated data effectively be organized and managed, then integrating the professional data which has the valuable information, further more to predict the trend of the oilfield’s development, to explore a sustainable way of smart oilfield’s developing featuring, to promote the production to a new stage and better the decision-making optimization of the oilfield.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Jianxi Huang
AU  - Bin Zhang
PY  - 2016/04
DA  - 2016/04
TI  - Study on the Optimization of the Smart Oilfield Construction
BT  - Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 115
EP  - 119
SN  - 2352-5401
UR  - https://doi.org/10.2991/isaeece-16.2016.25
DO  - 10.2991/isaeece-16.2016.25
ID  - Huang2016/04
ER  -