Neural network for time-lapse seismic reservoir monitoring

被引：0
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作者：
机构：
来源：
JPT, Journal of Petroleum Technology | 2002年 / 53卷 / 08期
关键词：
Computer simulation - Data acquisition - Oil well logging - Petroleum reservoir evaluation - Rocks;
D O I：
10.2118/0801-0044-jpt
中图分类号：
学科分类号：
摘要：
A neural-network-based approach to rock-physics modeling in the context of time-lapse seismic analysis is presented. The aim is to find the optimum relationship between pressure, saturation, and seismic velocity. Such a relationship is essential in time-lapse interpretation. especially with reservoir-parameter inversion and forward modeling. The approach creates an opportunity to study reservoir behavior at the seismic level. Ultimately, time-lapse seismic interpretation can be improved if a better understanding of the relationship between rock and seismic properties is obtained.
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页码：44 / 47
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