机译:集成卡尔曼滤波框架中蒸汽辅助重力排水储层表征和历史匹配的分布式温度传感器数据的重要性
Department of Civil and Environmental Engineering, School of Mining and Petroleum Engineering, University of Alberta, 3-122 Markin/CNRL Natural Resources Engineering Facility, Edmonton, AB T6G 2R3, Canada;
Department of Civil and Environmental Engineering, School of Mining and Petroleum Engineering, University of Alberta, 3-122 Markin/CNRL Natural Resources Engineering Facility, Edmonton, AB T6G 2R3, Canada;
Department of Civil and Environmental Engineering, School of Mining and Petroleum Engineering, University of Alberta, 3-122 Markin/CNRL Natural Resources Engineering Facility, Edmonton, AB T6G 2R3, Canada;
机译:基于知识的3D蒸汽辅助重力排水油藏非均质性描述框架
机译:蒸汽辅助引力排水储层中岩石异质性表征的人工智能与生产数据分析
机译:使用集成卡尔曼滤波器对河道水库进行历史匹配,并不断更新河道信息
机译:分布式温度传感器(DTS)数据的重要性SAGD水库特征和历史匹配在合奏卡尔曼滤波器(ENKF)框架内
机译:在EnKF框架内使用温度数据协助SAGD非均质油藏的历史匹配和特征化。
机译:使用Ensemble Kalman滤波器进行多数据储层历史匹配