基于多尺度地球物理资料的流体预测技术

Fluid forecast based on multi-scale geophysical data

如今油田开发主要使用油藏数值模拟方法来模拟预测剩余油分布状况,而利用地球物理流体预测信息作为约束条件并结合常规的油藏数值模拟方法进行联合反演,其预测结果既能满足油田开发动态数据规律,又能反映流体在空间的变化特征。本文尝试利用永3断块纵波和横波测井资料及渗透率、孔隙度、岩相等静态参数,结合开发动态参数,通过岩石物理标定,建立不同流体状态下的地球物理响应量板;再将叠前地震反演流体预测数据投影到设定的油藏数值模拟网格,利用标定的岩石物理模板将每个网格上的地震反演数据换算为含水饱和度,进而获得油藏动态信息空间分布。

At present,prediction of remaining oil distribution for oil field development is mainly performed using reservoir numerical simulation.In this work,a joint inversion is proposed for fluid forecast using geophysical data as a constraint by integration with conventional methods of reservoir numerical simulation.Results from this process can be consistent with fluid flow and spatial geophysical attribute characteristics.This could be an effective schema for remaining oil distribution characterization in mature fields.In this paper,we use the static parameters of Yong 3 fault block such as P-wave and S-wave logging data,permeability,porosity,lithofacies etc,and combine with dynamic parameters in development for application.First,we calibrate the rock model with logs,such that the template for geophysical responses on different dynamics states can be created.Then we project the pre-stack seismic inversion data onto numerical reservoir simulation grid.The saturation at each grid can be estimated using the calibrated template.Finally,the fluid spatial distribution can be mapped by integration of reservoir numerical simulation and seismic pre-stack inversion data.