| 松辽盆地深层孔隙流体压力预测 |
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| 引用本文： | 刘文龙,柴文华.松辽盆地深层孔隙流体压力预测[J].地球科学,2000,25(2):137-142. |
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| 作者姓名： | 刘文龙 柴文华 |
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| 作者单位： | 1.中国地质大学能源地质系, 北京 100083 |
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| 摘 要： | 孔隙流体压力属于流体状态参量, 它是进行盆地动力学分析、油气成藏动力学分析以及油气预测的重要因素之一.孔隙流体压力的预测模式应尽量将各种地质作用对其的贡献考虑进去, 并且, 利用大量的实际地层测试参数与各种地球物理参数之间的相互关系来选择适当的数学模型.选用神经网络计算技术对松辽盆地深层孔隙流体压力进行了预测, 并对孔隙流体压力的可能成因进行了分析.
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| 关 键 词： | 孔隙流体压力 神经网络 油气运移 |
| 文章编号： | 1000-2383(2000)02-0137-06 |
| 收稿时间： | 1999-06-22 |
PREDICTION OF PORE-FLUID PRESSURE IN DEEP STRATA OF SONGLIAO BASIN |
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| Liu Wenlong,Li Sitian,Sun Dejun,Chai Wenhua,Zheng Jiandong.PREDICTION OF PORE-FLUID PRESSURE IN DEEP STRATA OF SONGLIAO BASIN[J].Earth Science-Journal of China University of Geosciences,2000,25(2):137-142. |
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| Authors: | Liu Wenlong Li Sitian Sun Dejun Chai Wenhua Zheng Jiandong |
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| Affiliation: | Liu Wenlong 1 Li Sitian 1 Sun Dejun 1 Chai Wenhua 2 Zheng Jiandong 2 |
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| 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. |
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| Keywords: | pore_fluid pressure neural network oil and gas migration |
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