Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)

REST based integrated efficient drawing method for reservoir geological profile

Authors
Menghui Yao, Junqi Liu, Ruixue Feng, Genshen Chen, Jianxiong Zhao
Corresponding Author
Menghui Yao
Available Online June 2017.
DOI
https://doi.org/10.2991/icmia-17.2017.30How to use a DOI?
Keywords
Reservoir geological profile; QuantyView; REST data services; Automatic drawing.
Abstract
Reservoir geological profile is an important basic map for zone evaluation and target demonstration. Now oil field departments often use Resform and Coreldraw to draw geological profile, and it's a complicated process with multiple steps. In this paper, based on QuantyView, data integration is made rapidly through accessing REST data services, thus drawing process is simplified and drawing efficiency is improved.
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Proceedings
2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-387-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmia-17.2017.30How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Menghui Yao
AU  - Junqi Liu
AU  - Ruixue Feng
AU  - Genshen Chen
AU  - Jianxiong Zhao
PY  - 2017/06
DA  - 2017/06
TI  - REST based integrated efficient drawing method for reservoir geological profile
BT  - 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.30
DO  - https://doi.org/10.2991/icmia-17.2017.30
ID  - Yao2017/06
ER  -