| 000 | 01123nab a2200205 4500 | ||
|---|---|---|---|
| 005 | 20260608201732.0 | ||
| 008 | 260224s2008 xxu | ||
| 100 | 1 |
_aFeng, Lianyong _950393 |
|
| 100 | 1 |
_aLi, Junchen _950394 |
|
| 100 | 1 |
_aPang, Xiongqi _950395 |
|
| 245 | 0 | 0 | _aChina's oil reserve forecast and analysis based on peak oil models |
| 260 |
_a _b _cnov. 2008 |
||
| 270 | _a23/06/2011 ; 23/06/2011 | ||
| 300 | _a5 p. ; 4149-4153 | ||
| 520 | _aTranscripción del resumen del autor. In order to forecast future oil production it is necessary to know the size of the reserves and use models. In this article, we use the typical Peak Oil models, the Hu-Chen-Zhang model usually called HCZ model and the Hubbert model, which have been used commonly for forecasting in China and the world, to forecast China's oil Ultimate Recovery (URR). The former appears to give more realistic results based on an URR for China of 15.64 billion tons. The study leads to some suggestions for new policies to meet the unfolding energy situation. | ||
| 581 | _a11 | ||
| 773 | _g | ||
| 942 | _cARTICULO | ||
| 999 |
_c183035 _d183035 |
||