基于Kriging数据点拟合的砂体控制程度预测  

Prediction of sand-body control based on fitting of number of conditional data in Kriging

作　　者：张强[1] 刘丽杰[2] 许少华[1] 

机构地区：[1]东北石油大学计算机与信息技术学院,黑龙江大庆163318 [2]黑龙江八一农垦大学信息技术学院,黑龙江大庆163319

出　　处：《哈尔滨商业大学学报（自然科学版）》2011年第6期841-844,共4页Journal of Harbin University of Commerce：Natural Sciences Edition

基　　金：黑龙江省科技攻关项目(GZ07A103);黑龙江省自然科学基金(ZA2006-11)

摘　　要：开发井网密度决定砂体分布状态控制程度,Kriging插值能很好的模拟地质特征,利用插值产生的平均权系数随插值条件数据点个数的增多而逐渐变小的规律,根据平均权系数最小到平衡点时,数据点个数的增加对插值计算精度影响不大的特点,提出利用Kriging平均权系数结合最小二乘法函数拟合来预测砂体控制程度,取得了很好的实际预测效果.Development well network density determined the control degree of sand＇s distribution,Kriging interpolation could be better simulated the geological features,a method to predict control degree of sand using Kriging＇s average coefficient combined with the least square method function was proposed in this paper,this method adopted the rule that average weight coefficient of interpolation generated gradually reduces with the increasing of data point numbers of interpolation condition,and used the characteristics that it had little effect on interpolation accuracy with the increasing of data points＇ number according to the average weights least to balance point,this method achieved a good practical prediction effect.

关 键 词：KRIGING 井网密度 最小二乘法 

分 类 号：P628[天文地球—地质矿产勘探]