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人工智能辅助评价技术在火山岩气藏开发中的应用

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结合COMOST人工智能辅助评价技术对典型火山岩气藏区块开展了多因素敏感性分析,自动历史拟合,方案最优化以及不确定分析等评价,建立了一种评价火山岩气藏开发指标预测、方案优化及风险分析的新方法,为以后气藏的合理指标预测及开发技术界限的界定提供参考和依据.
Application of artificial intelligence assisted evaluation technology in the development of volcanic gas reservoirs
A sensitivity analysis,automatic historical fitting,scheme optimization,and un-certainty analysis were conducted on typical volcanic rock gas reservoir blocks using CO-MOST artificial intelligence assisted evaluation technology.A new method for evaluating the development indicators prediction,scheme optimization,and risk analysis of volcanic rock gas reservoirs was established,providing reference and basis for the reasonable indicator prediction of gas reservoirs and the definition of development technology boundaries in the future.

CMGnumerical simulationCMOST moduleartificial intelligenceMonte Carlo method

刘刚、刘春枚、孙伟石、谭显春、王报花、孟凡聪、王超

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大庆油田有限责任公司勘探开发研究院,黑龙江大庆 163712

大庆油田有限责任公司采气分公司,黑龙江大庆 163453

CMG 数值模拟 CMOST模块 人工智能 蒙特卡洛法

大庆油田有限责任公司科研项目

202121KF04

2024

石油化工应用
宁夏化工学会

石油化工应用

影响因子:0.276
ISSN:1673-5285
年,卷(期):2024.43(6)
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