摘要
采用霍其士—莱赫曼法进行最优值选择，利用３７００测井资料，提取出地层胶结指数（ｍＦ），有效孔隙度与电阻率孔隙度比值（ＲＰＥＲ），视孔道弯曲度的对数值（ＴＡＡ），视地层水电阻率的ｍ次方值Ｐ１２，重构水线电阻率与实际电阻率比值（ＳＴＲＯ））等５组对判别稠油储层流体有利的聚类参数，对冷东地区稠油层标准样本进行均值模糊聚类并求取聚类中心，同时得到隶属于４种类别的隶属度。在计算过程中对测井曲线进行环境校正与畸变参数修复和重构工作。通过对冷东地区１８口井的流体识别，效果明显，具有较好的实用价值。
By means of logging data of 3700 and optimal value selection using Hodges Lehmann method, this paper proposes 5 sets of cluster parameters favorable for discriminating heavy oil reservoir fluid, i.e. the formation cementation factor(MF), the ratio of effective porosity and resistivity porosity(RPER), the logarithmic value of apparent pore path tortuosity(TAA), the value of mth power of apparent resistivity of formation water(ρ 12 ),the ratio of linear resistivity and true resistivity, and then performs mean fuzzy clustering and obtains the clustering center as well as the subordination degree belonging to 4 categories for the standard samples of heavy oil reservoir of Lengdong area. The environment correction of logging curves and the renovation and reconstruction of distorting functions are carried out during calculation. Through fluid diagnosis of 18 wells of Lengdong area, cluster analysis has got significant results and higher practical value.
出处
《特种油气藏》
CAS
CSCD
1995年第1期1-6,18,共7页
Special Oil & Gas Reservoirs
