基于地震资料的高灵敏度流体识别因子

High sensitive fluid identification based on seismic data.

应用地震资料识别地层中的流体是储层预测的重要内容,对地层中流体的识别是通过流体识别因子实现的。为此提出了一种高灵敏度的流体识别因子。首先对常用流体识别因子进行了分析、归类和总结,给出了流体识别因子函数的一般形式,该函数基于纵波波阻抗和横波波阻抗等参数,可根据不同的需要选择和应用不同的流体识别因子;然后从Gassmann公式出发,分析了岩石中不同充填流体对弹性参数、速度和波阻抗的影响, 进一步明确了对流体敏感、比较敏感和相对不敏感的参数,并在此基础上,提出了一个新的高灵敏度流体识别因子;最后以湿砂岩和含气砂岩为例,对比分析了不同流体识别因子对流体的敏感度。分析结果表明．高灵敏度流体识别因子对流体的灵敏度较其它常用流体识别因子高。

This paper summarizes and classifies the fluid identification factors, then gives a general function of fluid identification factors. Based on the P-wave impedance and the S-wave impedance, the function is used to select different fluid identification factor according to different demands. From the Gassmann's relation, the paper analyses the impacts of elastic parameters, velocities and impedances on the rock filled with different fluid contents, confirms which parameter is sensitive, more sensitive or no sensitive to the fluid contents. Based on this, the paper proposes a new high sensitive fluid identification factor (HSFIF). Taking an example of wet sandstone and gas sandstone, the paper compares the sensitivity of fluid identification factors to different fluids. The result shows that HSIFF is more sensitive to the fluid contents than others. HSIFF can satisfy different tasks of reservoir prediction according to demands and conditions.