基于聚类算法的岩心岩石物理信息提取及地层非均质性估计

D. Egorov
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引用次数: 1

摘要

核心数据是最可靠和最具代表性的信息来源,但它非常昂贵。它是唯一能够准确描述目标地层的地质情况,包括沉积环境、岩石物性和含油饱和度分布、储层非均质性和次生作用引起的分区化程度。尽管岩心提取作业可以在几次内增加油井成本,但在油田开发项目中只利用了少量的岩心信息,其中很大一部分是定性描述,难以实现数字定量地质建模过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extraction of Petrophysical Information and Formation Heterogeneity Estimation from Core Photographs by Clustering Algorithms
Summary Core data is the most reliable and representative source of information, however it is very expensive. It is the only thing that can be used for precise description of geological situation in a target formation including its depositional environment, petrophysical properties and oil saturation distribution, reservoir heterogeneity and compartmentalization degree induced by secondary processes. Despite the fact that core retrieving operation can increase well cost in few times only a little amount of core information is utilized during field development projects as a huge part of it is represented by qualitative description which is hard to be implemented into digital quantitative geological modeling process.
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