井资料聚类联合地震属性优化储层预测方法  

Reservoir prediction technique on well data clustering analysis in combination with seismic attribution optimizing

作　　者：姜宏章[1] 秦月霜[1] 李红英[1] 

机构地区：[1]中国石油大庆油田有限责任公司,黑龙江大庆163712

出　　处：《世界地质》2007年第2期254-258,共5页World Geology

摘　　要：针对单纯地震属性优化方法储层预测符合率低的实际情况,运用井资料聚类联合地震属性优化方法,对临江地区双30区块进行储层预测。依据井砂岩厚度发育情况及空间分布分为Ⅰ类井和Ⅱ类井。Ⅰ类井与Ⅱ类井实钻砂岩厚度与地震预测砂岩厚度相关系数分别为0.81237和0.6889,全区55口井砂岩厚度与地震预测砂岩厚度相关系数由原来的0.513提高到0.794,储层预测符合率由64%提高到80%。In light of the low coincidence rate of reservoir prediction on single seismic attribution optimizing method, the authors developed a method of well data clustering analysis in combination with seismic attribution optimizing to predict the sections Shuang 30 in the Linjiang area. According to the thickness of sandstone beddings and their distributions, the authors classify the wells into two types, including the type-Ⅰ and type-Ⅱ . The correlation coefficients between the drilled sandstone thickness and the forecast sandstone thickness in the two type wells are 0. 812 37 and 0.688 9 respectively; the correlation coefficients between the two kinds of thicknesses of the 55 wells in the wholearea are enhanced from previous 0. 513 to 0.794, and the coincidence rate of reservoir prediction is also enhanced from 64 % to 80 %.

关 键 词：地震属性 优化 聚类分析 储层预测 

分 类 号：P618.130[天文地球—矿床学]