机译:最近的发展结合了集合更顺畅和深生成的网络的面部历史匹配
Pontifical Catholic University of Rio de Janeiro (PUC-Rio) Rio de Janeiro Brazil;
Pontifical Catholic University of Rio de Janeiro (PUC-Rio) Rio de Janeiro Brazil;
Pontifical Catholic University of Rio de Janeiro (PUC-Rio) Rio de Janeiro Brazil;
Petrobras Research and Development Center (CENPES) Av. Horacio de Macedo 950 Cidade Universitaria Rio de Janeiro RJ 21941-915 Brazil;
Pontifical Catholic University of Rio de Janeiro (PUC-Rio) Rio de Janeiro Brazil;
Deep learning; Data assimilation; Facies models; Ensemble smoother;
机译:历史匹配地质面模型基于集合光滑和深度生成型号
机译:集合畅通无闻的开发及其在通道储层历史匹配中的应用
机译:与迭代集合更顺畅和深卷积的自动化器相匹配的延时地震史
机译:集合卡尔曼滤波对地质相历史匹配的评价
机译:地质相吻合,同时扰动相。
机译:SUD-GAN:深卷积生成对抗网络结合短连接和致密块用于视网膜血管分割
机译:朝向使用深度变化自动化器和集合光滑的调节相模型的强大参数化
机译:利用集合平滑器将生产和时移地震资料的历史匹配划分为河道化储层模型。