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随机介质模型的改进方法及应用 被引量:39

Improvement of random medium model and its application
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摘要 为了更好地刻画火山岩等复杂岩性油气藏的特征,并结合这种实际地层的非均匀特性及实际地震记录自相关函数的特点,提出了根据随机过程的谱分解理论构造随机介质模型的一种改进形式的混合型自相关函数,增加了周期因子,并给出定量评价随机介质局部扰动大小的两种尺度因子,该随机介质模型能够更加灵活、准确地描述随机介质。通过改变自相关长度、周期因子、均值、方差、模糊度因子5个统计量,就可制作出不同尺度下不同形式的混合型随机空隙介质模型,与此同时根据实际地震记录制作了火山岩等非均匀介质模型,进行波场分析。模拟结果显示,该介质模型能够更加灵活、方便地描述实际介质,能够有效地模拟复杂非均匀介质细节的特点。 In order to depict the characteristics of complex lithologic hydrocarbon reservoir of volcanic rock and combined with this heterogenetic identity of practical stratum and auto-correlation functions of practical seismic record, we put forward improved intermixed auto-correlation functions according to theory of spectral factorization in stochastic process, which is added with periodic factor, and presented two kinds of scaling factor to quantitatively evaluate the magnitude of local disturbance. This random medium may describe the realistic media more agilely and precisely. By changing five statistics: the autocorrelation width, periodic factor, average value, variance and ambiguity, you can create different kinds of random interstitial medium in different scale, at the same time, we make up heterogenetie model of volcanic rock according to practical seismic record and use wave modeling analysis. The results show that it can depict random medium more neatly and expediently, and more effectively sinmlate details of the complex heterogeneous medium.
出处 《大庆石油地质与开发》 CAS CSCD 北大核心 2008年第5期124-126,131,共4页 Petroleum Geology & Oilfield Development in Daqing
关键词 随机介质模型 局部自相关函数 自相关长度 周期因子 谱分解 random medium model local autocorrelation function autoeorrelation width periodic factor spectrum dissolution
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