人工智能辅助评价技术在火山岩气藏开发中的应用
Application of artificial intelligence assisted evaluation technology in the development of volcanic gas reservoirs
刘刚 1刘春枚 1孙伟石 1谭显春 1王报花 1孟凡聪 1王超2
作者信息
- 1. 大庆油田有限责任公司勘探开发研究院,黑龙江大庆 163712
- 2. 大庆油田有限责任公司采气分公司,黑龙江大庆 163453
- 折叠
摘要
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.
Abstract
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.
关键词
CMG/数值模拟/CMOST模块/人工智能/蒙特卡洛法Key words
CMG/numerical simulation/CMOST module/artificial intelligence/Monte Carlo method引用本文复制引用
基金项目
大庆油田有限责任公司科研项目(202121KF04)
出版年
2024
NETL
NSTL
万方数据