摘要
在储层流体预测中,人们提出了不同的流体因子直接指示储层流体,不同的流体因子对储层流体的敏感性不同。本文在前人研究的基础上,从Biot-Gassmann孔隙弹性理论和流体替换理论出发,分析研究了AVO流体指示因子的敏感性,并利用Castagna等从世界范围内收集的25套盐水砂岩、泥岩、含气砂岩模型数据作为样本,利用相关分析和交汇图方法对常见流体因子的敏感性进行分析、比较,最后优选出高灵敏度的流体识别因子,分析结果表明,λρ、v、σHSFIF、IP-IS、ρf等流体因子为高灵敏度流体因子。
To indicate the reservoir fluid directly, people proposed different fluid factors which have different sensitivities to the fluid of reservoirs. Based on Biot and Gassmann＇s poroelasticity and the theory of fluid substation, in this paper we firstly analyzed the sensitivities of fluid factors in theory, and then, by means of correlation analysis and crossplotting analysis, we analyzed and compared the sensitivities of common fluid factors, using 25 sets of worldwide model data, which were collected by Castagna and included brine sand, shale and gas sand considering AVO anomalies. At last, we picked out the fluid indicators with high sensitivities. The results show that the fluid factors such as λρ,v,σHSFIF,Ip-Is and ρf, are fluid factors with high sensitivities.
出处
《工程地球物理学报》
2008年第1期85-88,共4页
Chinese Journal of Engineering Geophysics
