Abstract: A method for context transfer for data storage is disclosed. The method includes receiving, from an analysis environment, a request to load a data item for analysis, creating, based on the request, a task request including context information of the data item, transmitting the task request to a data manager environment, receiving, from the data manager environment, an approval of the task request based on the context information, and loading the data item in a master data store in response to the approval.

Abstract: A method for local data visibility is disclosed. The method includes detecting data items in a local data repository located in a local environment. In response to the detecting, a computer processor of the local environment collects metadata describing the data items in the local data repository. The metadata includes a project identifier. The metadata is then transmitted, separate from the data items, to a data manager of a database, where the database is accessible by multiple local environments. Accordingly, the data manager determines, based on the project identifier, a synchronization status of the data items in the local data repository, where the synchronization status represents a relationship between the data items in the local data repository and exploration and production data in the database. The data manager further generates, according to a pre-determined data management scheme, an alert based on the synchronization status.

Abstract: A method for context transfer for data storage is disclosed. The method includes receiving, from an analysis environment, a request to load a data item for analysis, creating, based on the request, a task request including context information of the data item, transmitting the task request to a data manager environment, receiving, from the data manager environment, an approval of the task request based on the context information, and loading the data item in a master data store in response to the approval.

Abstract: A method for local data visibility is disclosed. The method includes detecting data items in a local data repository located in a local environment. In response to the detecting, a computer processor of the local environment collects metadata describing the data items in the local data repository. The metadata includes a project identifier. The metadata is then transmitted, separate from the data items, to a data manager of a database, where the database is accessible by multiple local environments. Accordingly, the data manager determines, based on the project identifier, a synchronization status of the data items in the local data repository, where the synchronization status represents a relationship between the data items in the local data repository and exploration and production data in the database. The data manager further generates, according to a pre-determined data management scheme, an alert based on the synchronization status.

Abstract: A method for deploying a product through multiple phases includes defining work streams for deploying the product, where each work stream is defined for a set of components of a client environment. For each work stream and for each phase, a set of predefined tasks are identified for the phase, a computer processor gathers for the phase a set of instruments specific to the work stream for performing the set of predefined tasks, and the set of instruments are stored in a data repository of a deployment framework. The set of predefined tasks for the phase is common amongst the work streams.