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 .
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.
出处
《地球科学（中国地质大学学报）》
EI
CAS
CSCD
北大核心
2000年第2期137-142,共6页
Earth Science-Journal of China University of Geosciences
