The Economic Evaluation for Productivity Construction of Shore Oil Field Based on BP Neural Network
Authors
Wensheng Yang, Zhijin Chang, Xiaobo Gu, Xiaolin Song, Bo Lu
Corresponding Author
Wensheng Yang
Available Online January 2015.
- DOI
- 10.2991/emcs-15.2015.74How to use a DOI?
- Keywords
- Productivity construction; Economic evaluation; On shore oil field; Matlab; BP neural network
- Abstract
Oilfield productivity construction is the first step of production of onshore oil field. Its investment effect directly influences the whole oilfield company’s economic benefits. So the comprehensive and accurate economic evaluation is critical to oilfield productivity construction project. This paper collected 20 similar projects and according to the principle of BP neural network and screened 9 influence and restrict the development factors to the economic benefit of productivity construction project as the input indexes of the neural network. It is proved by simulation calculations that the model has higher identification precision. Therefore, the neural network has good application prospect in oil economic evaluation.
- Copyright
- © 2015, 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/).
Cite this article
TY - CONF AU - Wensheng Yang AU - Zhijin Chang AU - Xiaobo Gu AU - Xiaolin Song AU - Bo Lu PY - 2015/01 DA - 2015/01 TI - The Economic Evaluation for Productivity Construction of Shore Oil Field Based on BP Neural Network BT - Proceedings of the International Conference on Education, Management, Commerce and Society PB - Atlantis Press SP - 351 EP - 354 SN - 2352-5398 UR - https://doi.org/10.2991/emcs-15.2015.74 DO - 10.2991/emcs-15.2015.74 ID - Yang2015/01 ER -