摘要
潜北东区内有多个老油田,针对研究区井多、井距较小以及微相类型多的特点,首先根据微相的物性特征及其形态相似性进行了组合,然后采用基于象元的顺序指示模拟方法针对微相组合建立储层骨架模型。在砂体骨架模型的控制下采用顺序高斯模拟方法建立储层物性(孔隙度、渗透率)参数模型。利用随机建模得到的多个等概率骨架模型,对骨架模型中某网格存在砂体的概率进行统计分析,建立砂体分布大于某一概率的砂体分布概率模型,结合生产井的动态情况,综合分析预测滚动勘探开发的有利目标区3个,提高了滚动勘探开发的成功率。
There are several mature oilfields in eastern area of Qianbei.Because there are many wells and microfacies types,we integrated 11 microfacies types into 4 combinations according to their comparability.Based on microfacies combination,we built reservoir framework model using sequential indicator simulation algorithm.Then under the control of the framework model,we model respectively the distribution of petrophysics parameters using sequential gauss simulation.Sandbody distributing probability model is built based on 20 realizations of microfacies combination.Based on this model and the dynamic data of wells,we found 3 prospects for the progressive exploration and development.
出处
《新疆石油天然气》
CAS
2006年第3期59-61,50,共4页
Xinjiang Oil & Gas
基金
湖北省教育厅与长江大学科研发展基金联合资助(Q200612001)
关键词
目标区优选
相控建模
砂体分布概率模型
滚动勘探开发
optimization of prospect
lithofacies-controlled model
progressive exploration and development
stochastic modeling
