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• 构造地质学与能源地质学 • 上一篇    下一篇

多点地质统计学建模研究进展

陈欢庆,李文青,洪垚   

  • 出版日期:2018-08-20 发布日期:2018-08-27

Advances in Multiple-point Geostatistics Modeling

CHEN Huanqing, LI Wenqing, HONG Yao   

  • Online:2018-08-20 Published:2018-08-27

摘要: 从精细油藏描述中地质建模的意义和现状入手,介绍了多点地质统计学建模研究现状及其与传统地质建模方法的差
异。以辽河盆地西部凹陷某蒸汽驱试验区为例,分析了多点地质统计学建模中建模的基础、训练图像的建立、多点地质统计学
建模与传统地质建模相比所具有的优势等内容。指出多点地质统计学在井间预测方面具有明显优于其他传统建模方法的特
点。在文献调研基础上,结合自身工作实践,探讨了多点地质统计学建模目前存在的问题和未来的发展方向。指出未来多点
地质统计学建模的发展方向主要包括多信息综合地质成因分析基础上的训练图像获取、多点地质统计学算法进行改进和完善
和多点地质统计学建模方法应用领域的扩大等。

关键词: 多点地质统计学, 地质建模, 变差函数, 训练图像, 现代沉积和野外露头, 精细油藏描述

Abstract: Focusing on the significance of geological modeling in fine reservoir description, this study introduces the present situation
of multi-point geological statistics modeling and its differences with traditional geological modeling methods. Taking a steam flooding
area in West depression of Liaohe Basin as an example, we analyzed the basics of multipoint geostatistics modeling, the establishment
of the training images, the advantages of multipoint geostatistics modeling compared with the traditional geological modeling. It is
pointed out that geostatistics is better than other traditional modeling methods in the reservoir prediction of cross-wells. Based on the
literature review and the authors investigations, this paper discusses the existing problems and future research directions of multi-point
geostatistics modeling. The future research in geological statistics modeling mainly includes the geological genesis analysis in order to
gain training images, and the algorithm to improve, perfect, and expand the application field of multiple-point geostatistics, etc.

Key words: Multiple-point geostatistics, geological modeling, variation function, training images, modern sedimentary and field outcrops, fine reservoir description