• No results found

Spatial-Temporal Separation Based on the Dynamic Recurrent Wavelet Neural Network Modelling for ASP Flooding

N/A
N/A
Protected

Academic year: 2020

Share "Spatial-Temporal Separation Based on the Dynamic Recurrent Wavelet Neural Network Modelling for ASP Flooding"

Copied!
14
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1. The structure chart of DRWNN.
Table 1. The error of training samples.
Figure 4. The distribution diagram of well position.
Figure 6. The comparison diagram of water saturation.
+2

References

Related documents

All documents submitted to the Data Center for verifi cation, including birth certifi cates, marriage certifi - cates, and court documents, must be certifi ed copies issued by a

The general aim of this project was to explore a variety of demographic, socioeconomic, and health determinates pertaining to SRH in survey research. Specifically, focusing

○ If BP elevated, think primary aldosteronism, Cushing’s, renal artery stenosis, ○ If BP normal, think hypomagnesemia, severe hypoK, Bartter’s, NaHCO3,

Whether the policyholder opts for the fixed insured capital or the variable insured capital, a special insurance application form must be completed and

Cytoreductive surgery associated with HIPEC for the treatment of peritoneal carcinomatosis should be performed for young patients with limited and resectable

Intervention Antenatal care education containing BP/CR components, community programs including BP/CR, single BP/CR interventions, training of health workers (skilled birth