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。
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.
作者
陈欢庆
李文青
洪垚
CHEN Huanqing;LI Wenqing;HONG Yao(Research Institute of Petroleum Exploration&Development,PetroChina,Beijing 100083,China;Institute of Exploration and Development,PetroChina Changqing Oilfield Company,Xi’an 710018,China;School of Energy Resources,China University of Geosciences,Beijing 100083,China)
出处
《高校地质学报》
CAS
CSCD
北大核心
2018年第4期593-603,共11页
Geological Journal of China Universities
基金
国家科技重大专项"CO2驱油与埋存关键技术"(2011ZX05016-006)
中国石油天然气股份有限公司勘探与生产分公司"精细油藏描述项目"(2017-40217-000004)联合资助
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
Multiple-point geostatistics
geological modeling
variation function
training images
modern sedimentary and field outcrops
fine reservoir description
