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Surrogate reservoir modeling technology to be productized

机译:替代油藏建模技术将投入生产

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摘要

A new paper1 by Shahab Mohaghegh, Professor of Petroleum and Natural Gas Engineering at West Virginia University and president of Intelligent Solutions (IS), provides an update on the application of artificial intelligence and data mining to real time reservoir modeling and management. IS' surrogate reservoir mode (SRM) is a lightweight characterization of a field that enables compute-intensive techniques such as neural networks and fuzzy logic to be performed in real time.
机译:西弗吉尼亚大学石油与天然气工程教授,智能解决方案(IS)总裁Shahab Mohaghegh的新论文1提供了有关人工智能和数据挖掘在实时油藏建模和管理中的应用的最新信息。 IS的替代储层模式(SRM)是对字段的轻量级表征,它使能够实时执行诸如神经网络和模糊逻辑之类的计算密集型技术。

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