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。
A sensitivity analysis,automatic historical fitting,scheme optimization,and uncertainty analysis were conducted on typical volcanic rock gas reservoir blocks using COMOST 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.
作者
刘刚
刘春枚
孙伟石
谭显春
王报花
孟凡聪
王超
LIU Gang;LIU Chunmei;SUN Weishi;TAN Xianchun;WANG Baohua;MENG Fancong;WANG Chao(Exploration and Development Research Institute of Daqing Oilfield Co.,Ltd.,Daqing Heilongjiang 163712,China;Gas Production Branch of DaqingOilfield Co.,Ltd.,Daqing Heilongjiang 163453,China)
出处
《石油化工应用》
CAS
2024年第6期34-38,共5页
Petrochemical Industry Application
基金
大庆油田有限责任公司科研项目“大庆油田‘十四五’滚动及‘十五五’天然气开发战略研究”(202121KF04)。