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

被引：3

作者：

Hu Yu ^{[1
]}

Lv Rui ^{[2
]}

Wei Zhikun ^{[3
]}

Zuo Jie ^{[3
]}

Zhang Tingshan ^{[1
]}

Chen Ran ^{[2
]}

Xu Yiqiao ^{[4
]}

机构：

[1] Southwest Petr Univ, State Key Lab Oil & Gas Reservoir Geol & Exploita, Chengdu 610500, Sichuan, Peoples R China

[2] Petrochina Tarim Oil Field Co, Korla 841000, Xinjiang, Peoples R China

[3] Changqing Oilfield, Oil Prod Plant 1, Yanan 716000, Shanxi, Peoples R China

[4] Petrochina Southwest Oil & Gasfield Co, Chengdu 610000, Sichuan, Peoples R China

来源：

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / 02期

关键词：

Multi-factor; Combination forecasting; Oil and gas resources; Trend prediction; AUTOMATIC DETECTION; ENTROPY;

D O I：

10.1007/s10586-018-2223-y

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：S4571 / S4577

页数：7

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