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Potential and trend prediction of unconventional oil and gas resources based on combination forecasting model of variable weight for multi-factor

Authors :
Chen Ran
Zhang Ting-shan
Hu Yu
Wei Zhikun
Xu Yiqiao
Zuo Jie
Lv Rui
Source :
Cluster Computing. 22:4571-4577
Publication Year :
2018
Publisher :
Springer Science and Business Media LLC, 2018.

Abstract

In order to increase the potential and trend prediction accuracy of unconventional oil and gas resources, a potential and trend prediction method of unconventional oil and gas resources based on combination forecasting model of variable weight for multi-factor is proposed. First of all, the present situation and trend of oil and gas resources development are analyzed and introduced. It is pointed out that it is influenced and restricted by many factors and external environment, which shows the characteristics of its complexity and non-linear historical evolution trend. Secondly, the optimal variable weights are determined by using the variable weight combination forecasting model and then the potential and trend prediction accuracy of unconventional oil and gas resources is realized to be increased. Finally, the validity of the proposed method is verified by the simulation experiment.

Details

ISSN :
15737543 and 13867857
Volume :
22
Database :
OpenAIRE
Journal :
Cluster Computing
Accession number :
edsair.doi...........f2c61382e543e92aebfb4d121ca98b46
Full Text :
https://doi.org/10.1007/s10586-018-2223-y