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| Keywords | |
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BP network |
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saturation |
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porosity |
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reservoir |
| Authors | |
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LV Lin-1 |
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2 |
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3 |
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WANG Ming-Jun-2 |
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FAN Ji-Zhang-1 |
| PubMed | |
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Article by Lv, L. 1 |
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Article by Wang, M. J. 2 |
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Article by Fan, J. Z. 1 |
Application of BP network on reservoir parameter forecast of gas hydrates in Shenhu marine area of South China Sea
LV Lin-1, 2, 3, WANG Ming-Jun-2, FAN Ji-Zhang-1
1�� The Institute of Mineral Resources Prognosis of Synthetic Information��Jilin University��Changchun 130026��China; 2�� Chinese Academy of Geological Sciences��Beijing 100037��China; 3�� The Central Institute for Correctional Police��Hebei 071000��China
The BP neural network method has been used to forecast gas hydrates reservoir parameters ( porosity and saturation) based on the previous method by using logging data to forecast reservoir�� Taken an measured well as an example��a network model is built with the well's logging data�� The authors inputted the logging data of other wells and obtain the results of reservoir parameters��which are more accurate than the empirical formula through practice tests��