scholarly journals Establishment and application of prediction model of natural gas reserve and production in Sichuan Basin

2021 ◽  
Vol 11 (6) ◽  
pp. 2679-2689
Author(s):  
Guo Yu ◽  
Yizhu Fang ◽  
Haitao Li ◽  
Chenyu Wang ◽  
Dongming Zhang

AbstractResearch on predicting the growth trend of natural gas reserves and production will help provide a scientific basis for natural gas exploration and development. The metabolically improved modified weight coefficient GM(1,n) method is applied to the multi-cycle Hubbert model to predict the trend of new proven natural gas reserves in the Sichuan Basin. The ultimate recoverable reserves (URR) is introduced as a boundary condition in the production-time series to predict the natural gas production growth. The research results show that: (1) The annual newly added proven natural gas reserves of the Sichuan Basin maintain a multi-cycle growth trend, which will reach the peak reserves in 2034, at which time the proven rate of natural gas will reach 36%. (2) Based on the predicted results of proven reserves, the final recoverable reserves of natural gas are estimated to be $$5.25-5.75\times {10}^{12}{m}^{3}$$ 5.25 - 5.75 × 10 12 m 3 . The production in 2035 will reach $$750-810\times {10}^{8}{\mathrm{m}}^{3}/\mathrm{a}$$ 750 - 810 × 10 8 m 3 / a , and production will grow rapidly. The exploration and development of natural gas in the basin will be prospective for a long time.

Author(s):  
Haitao Li ◽  
Guo Yu ◽  
Yizhu Fang ◽  
Yanru Chen ◽  
Chenyu Wang ◽  
...  

AbstractResearch on predicting the growth trend of natural gas reserves will help provide theoretical guidance for natural gas exploration in Sichuan Basin. The growth trend of natural gas reserves in Sichuan Basin is multi-cycle and complex. The multi-cyclic peak is screened by the original multi-cyclic peak judgment standard. Metabolically modified GM(1,3) gray prediction method is used to predict the multi-cycle model parameters. The multi-cycle Hubbert model and Gauss model are used to predict the growth trend of natural gas reserves. The research results show that: (1) The number of cycles of natural gas reserves curve during 1956–2018 is 13. Natural gas reserves will maintain the trend of rapid growth in the short term. (2) Metabolism modified GM(1,3) gray prediction model can improve the accuracy of model prediction. The prediction accuracy of Hubbert model is higher than that of Gauss model. By 2030, the cumulative proven level of natural gas will reach 52.34%. The Sichuan Basin will reach its peak of proven lifetime reserves in the next few years.


2018 ◽  
Vol 45 (4) ◽  
pp. 619-628 ◽  
Author(s):  
Jinxing DAI ◽  
Yunyan NI ◽  
Shengfei QIN ◽  
Shipeng HUANG ◽  
Weilong PENG ◽  
...  

2016 ◽  
Vol 36 (1) ◽  
pp. 102-111
Author(s):  
Jin-ning Peng ◽  
Dong-yan Wang ◽  
Guang-xiang Liu ◽  
Min Zhang ◽  
Feng-li Li

2014 ◽  
Vol 978 ◽  
pp. 157-160
Author(s):  
Rong Huo ◽  
Kai Bo Duan

With the furthering of China’s all round reform, there will be greater economic growth and more urgent demands for energy. And the achievements of shale gas exploration and development in the United States provide a lot of lessons for domestic gas and oil exploration and development [Figure. 1]. However, the introduction of the matured foreign exploration and development technologies also suffers a great challenge. This paper aims to analyzing the problems in the exploration and development in China’s typical exploration areas and the measures that have been taken. Also, it sums up the emerging technologies and methods in the world, hoping to boost the future exploration and development of shale gas in China in a certain way. Fig. 1 U.S. dry natural gas production ( drawn from EIA)


2021 ◽  
Vol 8 (1) ◽  
pp. 35-47
Author(s):  
Yueming Yang ◽  
Yu Yang ◽  
Long Wen ◽  
Xihua Zhang ◽  
Cong Chen ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6021
Author(s):  
Palanisamy Manigandan ◽  
MD Shabbir Alam ◽  
Majed Alharthi ◽  
Uzma Khan ◽  
Kuppusamy Alagirisamy ◽  
...  

Research on forecasting the seasonality and growth trend of natural gas (NG) production and consumption will help organize an analysis base for NG inspection and development, social issues, and allow industrials elements to operate effectively and reduce economic issues. In this situation, we handle a comparison structure on the application of different models in monthly NG production and consumption forecasting using the cross-correlation function and then analyze the association between exogenous variables. Moreover, the SARIMA-X model is tested for US monthly NG production and consumption prediction via the proposed method for the first time in the literature review in this study. The performance of that model has been compared with SARIMA (p, d, q) * (P, D, Q)s. The results from RMSE and MAPE indicate that the superiority of the best model. By applying this method, the US monthly NG production and consumption is forecast until 2025. The success of the proposed method allows the use of seasonality patterns. If this seasonal approach continues, the United States’ NG production (16%) and consumption (24%) are expected to increase by 2025. The results of this study provide effective information for decision-makers on NG production and consumption to be credible and to determine energy planning and future sustainable energy policies.


2010 ◽  
Vol 37 (5) ◽  
pp. 513-522 ◽  
Author(s):  
Liu Wenhui ◽  
Tenger ◽  
Gao Bo ◽  
Zhang Zhongning ◽  
Zhang Jianyong ◽  
...  

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