松辽盆地深层孔隙流体压力预测

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

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.
- 孔隙流体压力 /
- 神经网络 /
- 油气运移
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

图 1 松辽盆地徐家围子断陷压力系数剖面

Fig. 1. Pressure coefficient section of Xujiaweizi fault basin in Songliao basin

下载: 全尺寸图片幻灯片

图 2 昌德东地区营城组沉积相与压力系数叠合图

Fig. 2. Overlay map of sedimentary facies and pressure coef-ficient of Yingcheng Formation in the eastern Changde

下载: 全尺寸图片幻灯片

表 1 松辽盆地深层孔隙流体压力测试资料

Table 1. Data of deep-seated pore-fluid pressure in Songliao basin

表 2 松辽盆地深层压力分类方案及与国内外分类对比

Table 2. Deep pressure classifications and correlations of Songliao basin and home and abroad sedimentary basins

[1]	崔宝琛, 李思田. 沉积盆地中的异常压力及其与油气运聚的关系[J]. 长春地质学院学报, 1997, 10 (增刊): 152~159.
[2]	真柄钦次. 压实与流体运移[M]. 陈荷立译. 北京: 石油工业出版社, 1981.34~35.
[3]	刘天佑, 李思田. 地层压力预测方法及其在南海北部构造-热体制分析中的应用[J]. 地球科学———中国地质大学学报, 1996, 2 1 (1): 84~88. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX601.015.htm
[4]	徐怀大. 地震地层学解释基础[M]. 武汉: 中国地质大学出版社, 1990. 124~125.
[5]	王东生, 曹磊. 混沌、分形及其应用[M]. 合肥: 中国科技大学出版社, 1995. 279~302.