Emc IP Holding Company LLC

Landmark Graphics Corporation

Chandra Yeleshwarapu

Vinicius Michel Gottin

Keshava Prasad Rangarajan

Jonas Furtado Dias

Scott David Senften

Ashwani Dev

Joseph Blake Winston

Romulo D Pinho

Xi Wang

David Michael Holmes

Edward Pacheco

Angelo Ciarlini

Clifton Brent Walker

Andre Maximo

Nagaraj Srinivasan

Nagaraj Sirinivasan

Deepak Ramanlal Gandhi

A computer implemented method, computer program product, and system for managing execution of a workflow comprising a set of subworkflows, comprising optimizing the set of subworkflows using a deep neural network, wherein each subworkflow of the set of subworkflows has a set of tasks, wherein each task of the sets of tasks has a requirement of resources of a set of resources; wherein each task of the sets of tasks is enabled to be dependent on another task of the sets of tasks, training the deep neural network by: executing the set of subworkflows, collecting provenance data from the execution, and collecting monitoring data that represents the state of said set of resources, wherein the training causes the neural network to learn relationships between the states of said set of resources, the said sets of tasks, their parameters and the obtained performance, optimizing an allocation of resources of the set of resources to each task of the sets of tasks to ensure compliance with a user-defined quality metric based on the deep neural network output.

Workflow optimization

A well exploration, services and production architecture for access to one or more well exploration, services or production (ESP) applications may be configured such that standardization of the one or more components provides for operability across multiple platforms. A deployment blueprint may specify parameters that must be met by a well ESP appliance deployed to provide access to one or more well ESP applications. Deployment rules may be based on the deployment blueprint that provides for order of deployment of components and constraints associated with packaging the components, including one or more well ESP applications, in a container. A user interface accesses the well ESP applications of the well ESP appliance based on an authorization or verification of the user. To maintain access to all data by all users, data storage for all processes of any components, including the well ESP applications, is hosted at a remote file storage system.

Well exploration, service and production appliance architecture

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Sugar Land, TX, United States of America

Chandra Yeleshwarapu