摘要
利用测井资料预测油气储层产能还没有一套成熟的方法。研究区酸性火山岩储层非均质性强,产能变化大,测井产能预测难。在天然气测井响应特征研究基础上,提出利用中子—密度孔隙度组合、核磁共振—密度孔隙度、横纵波时差比值以及综合参数反映储层含气性;将综合参数与有效厚度结合,得到产能指数,用于判别储层产能级别;根据储层孔隙度、饱和度、渗透率及有效厚度特性对产能贡献的大小不同,分别采用不同指数建立产能计算模型。应用该方法对徐深气田火山岩储层进行产能预测,储层级别预测准确率达到90%,预测相对误差较低,效果较好,为天然气试气选层提供了准确的依据。
It does not have a mature method to predict the production capacity of oil and gas reservoir by logging data.Because of acidic volcanic reservoir with strong heterogeneity,big change of productivity in the studied area,it is difficult to predict the reservoir productivity.Based on the study of the natural gas well logging response characteristics,we propose the method of neutron-density porosity combination,NMR-density porosity,transverse and longitudinal wave velocity ratio,comprehensive parameter to reflect gas reservoir characteristics.Combining with the comprehensive parameter and effective thickness,we get the productivity index to identify the reservoir productivity grade.Based on the difference of the contribution degree of the reservoir porosity,saturation,permeability and effective thickness,we establish reservoir productivity calculation model using different index.The method is applied to predict the volcanic reservoir productivity in Xushen gas field.The reservoir level prediction accuracy rate is 90％,the relative error is lower and the effect is better.It provides accurate data for layer selection of natural gas test.
出处
《测井技术》
CAS
CSCD
北大核心
2014年第6期722-726,744,共6页
Well Logging Technology
基金
国家重点基础研究发展计划"973"项目(2009CB219307)资助
关键词
产能预测
核磁共振测井
产能指数
孔隙度组合
横纵波时差比
综合参数
productivity prediction
NMR logging
productivity index
porosity combination
ratio of transverse wave and longitudinal wave
comprehensive parameter
