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深水浊积复合水道砂体内部建筑结构随机模拟——基于多点地质统计学与软概率属性协同约束方法 被引量:11

Stochastic simulations of internal architecture into compound turbidite channel sandbodies in deep water:based on a coordinated constraint method of multiple-point geostatistics with soft probability attribute
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摘要 结合地质认识将研究区深水浊积复合水道细分为主水道、水道侧缘、天然堤和侧积泥等4类建筑结构要素,应用多点地质统计学与软概率属性协同约束方法随机模拟得到了深水浊积复合水道砂体内部建筑结构,在此基础上对建筑结构要素控制下的储层物性进行了模拟。结果表明,多点地质统计学与软概率属性协同约束方法所得随机模拟结果较好地体现了深水浊积复合水道的空间结构、几何形态以及物性分布特征,可以为油田后期层内挖潜剩余油提供参考依据。 According to geological knowledge in the study area, the compound turbidite channels in deep water can be divided into 4 types of architecture element, i.e. drainage line, lateral channel margin, levee and lateral accretion mud. A coordinated constraint method of multiple-point geostatistics with soft probability attribute was applied to simulate stochastically internal architecture into compound turbidite channel sandbodies in deep water, by which the petrophysical properties controlled by architecture elements were simulated. The results have indicated that the stochastic simulations by the coordinated constraint method of multiple-point geostatistics. with soft probability attribute may more accurately reflect the space structure, geometry and geophysical distribution of compound turbidite channels in deep water, and can provide evidences for exploiting remaining oil within reser voirs during late development of an oilfield.
机构地区 中海油研究总院
出处 《中国海上油气》 CAS 北大核心 2012年第4期37-40,共4页 China Offshore Oil and Gas
关键词 深水浊积复合水道砂体 内部建筑结构 多点地质统计学 软概率属性 随机模拟 compound turbidite channel sandbody indeep water internal architecture multiple point geostatistics soft probability attribute stochastic simulation
作者简介 第一作者简介:张宇焜,男,2010年毕业于长江大学,获得硕士学位,现主要从事油藏描述相关工作。地址:北京市东城区东直门外小街6号海油大厦(邮编:100027)。Email:zhangyk3@cnooc.com.cn.
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