加拿大Zama水库TDRM模拟研究

Taehun Lee
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引用次数: 0

摘要

人工智能应用于人类生活的各个领域,目前正在油田积极研究和应用。特别是最近备受关注的数字油田,需要利用人工智能对油藏进行模拟。然而,迄今为止几乎没有相关研究。因此,在本研究中,我们利用人工智能技术将TDRM应用于位于加拿大土地上的Zama油田。所需的静态和动态数据来自加拿大的油井信息服务公司Accumap。成功建立了储层模型,可在短时间内进行敏感性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation study of Canada Zama reservoir using TDRM
Artificial intelligence is applied in various fields of human life and is being actively studied and applied in the oil fields. Especially, the digital oil field, which has recently been spotlighted, is required to simulate the reservoir using artificial intelligence. However, there is almost no research to date. Therefore, in this study, we applied TDRM using artificial intelligence technology to Zama field located on the land of Canada. The required static and dynamic data were obtained from Accumap, a Canadian well information S/W. As a result, the reservoir model was constructed successfully and the sensitivity analysis could be performed in a short time.
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