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    MULTIMODAL WELL LOG INTERPRETATION USING DEEP LEARNING MODELS
    1.
    发明申请
    MULTIMODAL WELL LOG INTERPRETATION USING DEEP LEARNING MODELS 有权

    公开(公告)号：US20210303965A1

    公开(公告)日：2021-09-30

    申请号：US16835005

    申请日：2020-03-30

    申请人： International Business Machines Corporation

    发明人： Kun Yan Yin ,  Qi Wang ,  Jian Hui Chen ,  Shu Zhang ,  Yue Liu

    IPC分类号： G06N3/04 ,  E21B49/00

    摘要： A cognitive well log analysis using a computer includes receiving, by one or more processors, well log data from a plurality of well logs. One or more processors identify geometric features, specific values, and well attributes from the received well log data and embed the identified features to generate a plurality of intermediate vectors arranged based on a relevance for identifying petrophysical properties. The intermediate vectors are combined to create a fusion vector based on which the one or more processors identify reservoir layers.

    Optimum selection of execution resources in a job distribution environment
    2.
    发明授权
    Optimum selection of execution resources in a job distribution environment 有权

    公开(公告)号：US10108452B2

    公开(公告)日：2018-10-23

    申请号：US15262623

    申请日：2016-09-12

    申请人： International Business Machines Corporation

    发明人： Chong Chen ,  Fang Liu ,  Qi Wang ,  Shutao Yuan

    IPC分类号： G06F9/50 ,  G06F9/48 ,  H04L29/08

    摘要： According to one aspect of the present disclosure, a technique for job distribution within a grid environment includes receiving jobs at a submission cluster for distribution of the jobs to at least one of a plurality of execution clusters where each execution cluster includes one or more execution hosts. Resource attributes are determined corresponding to each execution host of the execution clusters. For each execution cluster, execution hosts are grouped based on the resource attributes of the respective execution hosts. For each grouping of execution hosts, a mega-host is defined for the respective execution cluster where the mega-host for a respective execution cluster defines resource attributes based on the resource attributes of the respective grouped execution hosts. Resource requirements for the jobs are determined, and candidate mega-hosts are identified for the jobs based on the resource attributes of the respective mega-hosts and the resource requirements of the jobs.

    ALLOCATING A GLOBAL RESOURCE IN A DISTRIBUTED GRID ENVIRONMENT
    3.
    发明申请
    ALLOCATING A GLOBAL RESOURCE IN A DISTRIBUTED GRID ENVIRONMENT 审中-公开
    在分布式网格环境中分配全球资源

    公开(公告)号：US20160366067A1

    公开(公告)日：2016-12-15

    申请号：US15248931

    申请日：2016-08-26

    申请人： International Business Machines Corporation

    发明人： Chong Chen ,  Zhaohui Ding ,  Zhe Jin ,  Ajith Shanmuganathan ,  Michael J. Spriggs ,  Qi Wang ,  Chun Liang Yuan

    IPC分类号： H04L12/911 ,  G06F9/48 ,  H04L29/06 ,  G06F9/50

    CPC分类号： G06F9/5083 ,  G06F9/4881 ,  G06F9/50 ,  G06F9/5011 ,  G06F9/5072 ,  G06F2209/504 ,  H04L5/0055 ,  H04L47/82 ,  H04L47/822 ,  H04L67/42 ,  Y02D10/22

    摘要： A technique for allocating a global resource in a distributed grid environment includes a master resource manager (MRM), and a plurality of slave resource managers (SRMs) each configured to allocate a global resource within a respectively controlled region of a distributed grid computing environment. The MRM receives from each SRM use data and demand data associated with the global resource by each consumer in the respective region controlled by the respective SRM. The MRM then computes an allocation of the global resource for each consumer and for each region based on the use data and the demand data. The MRM then communicates to each SRM an amount of the global resource allocated to each consumer in each respective region controlled by a respective SRM and a total allocation of the global resource for the region controlled by the respective SRM.

    摘要翻译： 在分布式网格环境中分配全局资源的技术包括主资源管理器（MRM）和多个从属资源管理器（SRM），每个被配置为在分布式网格计算环境的分别受控区域内分配全局资源。 每个SRM接收的MRM使用由相应SRM控制的各个区域内的每个消费者与全球资源相关联的数据和需求数据。 然后，MRM根据使用数据和需求数据计算每个消费者和每个区域的全局资源的分配。 然后，MRM然后向每个SRM通信分配给由相应SRM控制的每个相应区域中的每个消费者的全球资源的数量以及由相应SRM控制的区域的全局资源的总分配。

    Allocating a global resource to consumers across different regions of a distributed grid environment based on use data and demand data of each consumer
    4.
    发明授权
    Allocating a global resource to consumers across different regions of a distributed grid environment based on use data and demand data of each consumer 有权
    根据每个消费者的使用数据和需求数据，将分布式网格环境的不同区域的全球资源分配给消费者

    公开(公告)号：US09448843B2

    公开(公告)日：2016-09-20

    申请号：US14225603

    申请日：2014-03-26

    申请人： International Business Machines Corporation

    发明人： Chong Chen ,  Zhaohui Ding ,  Zhe Jin ,  Ajith Shanmuganathan ,  Michael J. Spriggs ,  Qi Wang ,  Chun Liang Yuan

    IPC分类号： G06F9/50 ,  G06F9/48

    CPC分类号： G06F9/5083 ,  G06F9/4881 ,  G06F9/50 ,  G06F9/5011 ,  G06F9/5072 ,  G06F2209/504 ,  H04L5/0055 ,  H04L47/82 ,  H04L47/822 ,  H04L67/42 ,  Y02D10/22

    摘要： A technique for allocating a global resource in a distributed grid environment includes: a master resource manager (MRM) that receives from slave resource managers use and demand data associated with a global resource by each consumer in a region controlled by a respective slave resource manager. The MRM computes an allocation of the resource for each consumer and for each region by determining a total amount of the resource to allocate, estimating a need by each consumer for the resource based on the use and demand data, determining an allocation of the total amount of the resource among the consumers based on the estimated need; subdividing the allocation for each consumer among each region where the consumer utilizes the resource; and computing a total allocation of the resource for each region.

    摘要翻译： 用于在分布式网格环境中分配全局资源的技术包括：从从属资源管理器接收的主资源管理器（MRM）在由相应的从属资源管理器控制的区域内使用和请求每个消费者与全局资源相关联的数据。 MRM通过确定要分配的资源的总量来计算每个消费者和每个区域的资源的分配，基于使用和需求数据估计每个消费者对资源的需求，确定总量的分配 根据估计的需求，消费者的资源; 在消费者利用资源的每个区域中分配每个消费者的分配; 并计算每个区域的资源的总分配。

    Allocating a global resource to consumers across different regions of a distributed grid environment based on use data and demand data of each consumer
    5.
    发明授权
    Allocating a global resource to consumers across different regions of a distributed grid environment based on use data and demand data of each consumer 有权
    根据每个消费者的使用数据和需求数据，将分布式网格环境的不同区域的全球资源分配给消费者

    公开(公告)号：US09442764B2

    公开(公告)日：2016-09-13

    申请号：US14310985

    申请日：2014-06-20

    申请人： International Business Machines Corporation

    发明人： Chong Chen ,  Zhaohui Ding ,  Zhe Jin ,  Ajith Shanmuganathan ,  Michael J. Spriggs ,  Qi Wang ,  Chun Liang Yuan

    IPC分类号： G06F9/50 ,  G06F9/48

    CPC分类号： G06F9/5083 ,  G06F9/4881 ,  G06F9/50 ,  G06F9/5011 ,  G06F9/5072 ,  G06F2209/504 ,  H04L5/0055 ,  H04L47/82 ,  H04L47/822 ,  H04L67/42 ,  Y02D10/22

    摘要： A technique for allocating a global resource in a distributed grid environment includes: receiving from slave resource managers use and demand data associated with the global resource by each consumer in a respective region; compute an allocation of the resource for each consumer and for each region by determining a total amount of the resource to allocate, estimating a need by each consumer for the resource based on the use and demand data, determining an allocation of the total amount of the resource among the consumers based on the estimated need; subdividing the allocation for each consumer among each region where the consumer utilizes the resource; and computing a total allocation of the resource for each region; and communicating to each slave resource manager an amount of the resource allocated to each consumer in each respective region and the total allocation of the resource for the region.

    摘要翻译： 用于在分布式网格环境中分配全局资源的技术包括：从从属资源管理器的接收使用并请求每个消费者在相应区域中与全局资源相关联的数据; 通过确定要分配的资源的总量来计算每个消费者和每个区域的资源的分配，基于使用和需求数据估计每个消费者对资源的需求，确定所述资源的总量的分配 消费者资源根据估计需要; 在消费者利用资源的每个区域中分配每个消费者的分配; 并计算每个区域的资源的总分配; 并且向每个从属资源管理器通信分配给每个相应区域中的每个消费者的资源的数量以及该区域的资源的总分配。

    Job distribution within a grid environment using clusters of execution hosts
    7.
    发明授权
    Job distribution within a grid environment using clusters of execution hosts 有权

    公开(公告)号：US11243805B2

    公开(公告)日：2022-02-08

    申请号：US16363503

    申请日：2019-03-25

    申请人： International Business Machines Corporation

    发明人： Chong Chen ,  Fang Liu ,  Qi Wang ,  Shutao Yuan

    IPC分类号： G06F9/48 ,  G06F9/50 ,  H04L29/08

    摘要： A technique for job distribution within a grid environment includes receiving jobs at a submission cluster for distribution of the jobs to at least one of a plurality of execution clusters where each execution cluster includes one or more execution hosts. Resource attributes are determined corresponding to each execution host of the execution clusters. Resource requirements are determined for the job and candidate execution clusters are identified for processing the job based on the resource attributes of the execution hosts and the resource requirements of the job. An optimum execution cluster is selected from the candidate execution clusters for allocating the job thereto for execution of the job based on a weighting factor applied to select resources of the respective execution clusters.

    ALLOCATING A GLOBAL RESOURCE IN A DISTRIBUTED GRID ENVIRONMENT
    9.
    发明申请
    ALLOCATING A GLOBAL RESOURCE IN A DISTRIBUTED GRID ENVIRONMENT 有权
    在分布式网格环境中分配全球资源

    公开(公告)号：US20150277979A1

    公开(公告)日：2015-10-01

    申请号：US14225603

    申请日：2014-03-26

    申请人： International Business Machines Corporation

    发明人： Chong Chen ,  Zhaohui Ding ,  Zhe Jin ,  Ajith Shanmuganathan ,  Michael J. Spriggs ,  Qi Wang ,  Chun Liang Yuan

    IPC分类号： G06F9/50 ,  G06F9/48

    CPC分类号： G06F9/5083 ,  G06F9/4881 ,  G06F9/50 ,  G06F9/5011 ,  G06F9/5072 ,  G06F2209/504 ,  H04L5/0055 ,  H04L47/82 ,  H04L47/822 ,  H04L67/42 ,  Y02D10/22

    摘要： A technique for allocating a global resource in a distributed grid environment includes: a master resource manager (MRM) that receives from slave resource managers use and demand data associated with a global resource by each consumer in a region controlled by a respective slave resource manager. The MRM computes an allocation of the resource for each consumer and for each region by determining a total amount of the resource to allocate, estimating a need by each consumer for the resource based on the use and demand data, determining an allocation of the total amount of the resource among the consumers based on the estimated need; subdividing the allocation for each consumer among each region where the consumer utilizes the resource; and computing a total allocation of the resource for each region.

    摘要翻译： 用于在分布式网格环境中分配全局资源的技术包括：从从属资源管理器接收的主资源管理器（MRM）在由相应的从属资源管理器控制的区域内使用和请求每个消费者与全局资源相关联的数据。 MRM通过确定要分配的资源的总量来计算每个消费者和每个区域的资源的分配，基于使用和需求数据估计每个消费者对资源的需求，确定总量的分配 根据估计的需求，消费者的资源; 在消费者利用资源的每个区域中分配每个消费者的分配; 并计算每个区域的资源的总分配。