Challenges in reservoir forecasting

被引:27
作者
Deutsch, CV
Hewett, TA
机构
[1] Petroleum Engineering Department, Stanford University, Stanford
来源
MATHEMATICAL GEOLOGY | 1996年 / 28卷 / 07期
关键词
geostatistics; flow simulation; streamtubes; scale up; gridding; accuracy and precision; modeling uncertainty;
D O I
10.1007/BF02066003
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The combination of geostatistics-based numerical geological models and finite difference flow simulation has improved our ability to predict reservoir performance. The main contribution of geostatistical modeling has been more realistic representations of reservoir heterogeneity. Our understanding of the physics of fluid flow in porous media is reasonably captured by flow simulators in common usage. Notwithstanding the increasing application and success of geostatistics and flow simulation there remain many important challenges in reservoir forecasting. This application has alerted geoscientists and physicists that geostatistical/flow models in many respects, are, engineering approximations to the real spatial distribution and real flow processes. This paper reviews current research directions and presents some new ideas of where research could be focused to improve our ability to model geological features, model flow processes, and, ultimately, improve reservoir performance predictions.
引用
收藏
页码:829 / 842
页数:14
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