松辽盆地深层孔隙流体压力预测

刘文龙; 李思田; 孙德君; 柴文华; 郑建东

Volume 25 Issue 2

Mar. 2000

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Article Navigation > Earth Science > 2000 > 25(2): 137-142

LIU Wenlong, LI Sitian, SUN Dejun, CHAI Wenhua, ZHENG Jiandong, 2000. PREDICTION OF PORE-FLUID PRESSURE IN DEEP STRATA OF SONGLIAO BASIN. Earth Science, 25(2): 137-142.

Citation:

LIU Wenlong, LI Sitian, SUN Dejun, CHAI Wenhua, ZHENG Jiandong, 2000. PREDICTION OF PORE-FLUID PRESSURE IN DEEP STRATA OF SONGLIAO BASIN. Earth Science, 25(2): 137-142.

LIU Wenlong, LI Sitian, SUN Dejun, CHAI Wenhua, ZHENG Jiandong, 2000. PREDICTION OF PORE-FLUID PRESSURE IN DEEP STRATA OF SONGLIAO BASIN. Earth Science, 25(2): 137-142.

Citation:

LIU Wenlong, LI Sitian, SUN Dejun, CHAI Wenhua, ZHENG Jiandong, 2000. PREDICTION OF PORE-FLUID PRESSURE IN DEEP STRATA OF SONGLIAO BASIN. Earth Science, 25(2): 137-142.

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PREDICTION OF PORE-FLUID PRESSURE IN DEEP STRATA OF SONGLIAO BASIN

1.
Department of Energy Geology, China University of Geosciences, Beijing 100083, China
2.
Research Institute of Daqing Oil A dministration, Daqing 163712, China

Received Date: 1999-06-22
Publish Date: 2000-03-25

Abstract

Abstract

Pore-fluid pressure, a fluid state parameter, is one of important factors for the analysis of basin dynamics?, hydrocarbon reservoir and the prediction of oil and gas. The forecasting model of pore-fluid pressure should include various geological effects. At the same time, the relationship between numerous real stratigraphic testing parameters and various geophysical parameters is employed to choose an appropriate mathematical model. The present paper is focused on the prediction of oil and gas by means of neural network computing technique, and on the analysis of possible origins of pore-fluid pressure.
- pore-fluid pressure,
- neural network,
- oil and gas migration

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References(5)

References

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