Abstract: A method implements an integrated energy data science platform. The method includes presenting a data discovery component, including a map view to select data using the map view. The method further includes presenting a model selection component to select a machine learning model configured with deployment settings and configured to use the data, wherein the deployment settings identify sample features of the data. The method further includes authorizing access to the machine learning model and the data, deploying the machine learning model using the deployment settings, and presenting results generated from the sample features using the machine learning model, wherein the sample features are extracted from the data.

Abstract: A method implements advanced data discovery and visualization for energy data sources. The method includes presenting a map view displaying multiple data locations, receiving a selection identifying a subset of the map view, and selecting multiple application components corresponding to the data locations from the subset of the map view. The method further includes updating, responsive to selecting the application components, a toolbar displayed on the map view to include multiple icons corresponding to the application components. The method further includes presenting a visualization component, of the application components, displaying data, corresponding to a data location, in response to a selection from the toolbar. The method further includes creating, using a workflow component of the application components, a project workspace. The data presented with the visualization component is automatically imported to the project workspace.

Abstract: A method implements advanced application of model operations in energy. The method includes presenting an inspection view with a model list. The method further includes receiving a selection of a list entry, corresponding to a model, from the model list, wherein the model of the list entry is a champion model selected from multiple challenger models corresponding to the list entry. The method further receiving deployment settings of the model, presenting a deployment view with a deployment list with the model, and updating a deployment status of the model in the deployment view.

Abstract: The present disclosure provides a middle frame assembly and an electronic device. The middle frame assembly includes a middle frame and an antenna radiator. The middle frame includes a metal substrate. The antenna radiator is disposed at a fringe of the metal substrate. The antenna radiator defines an escape space through the antenna radiator and configured to receive a functional component. According to the present disclosure, the antenna radiator may be disposed at the fringe of the middle frame such that the middle frame assembly may be a continuous and integral structure.

Abstract: The present disclosure provides a middle frame assembly and an electronic device. The middle frame assembly includes a middle frame and an antenna radiator. The middle frame includes a metal substrate. The antenna radiator is disposed at a fringe of the metal substrate. The antenna radiator defines an escape space through the antenna radiator and configured to receive a functional component. According to the present disclosure, the antenna radiator may be disposed at the fringe of the middle frame such that the middle frame assembly may be a continuous and integral structure.

Abstract: A system for performing a drilling operation for an oilfield. The system includes a drilling system for advancing a drilling tool into a subterranean formation, a repository storing multiple survey factors for at least one wellsite of the oilfield and multiple drilling factors corresponding to at least one section of a planned trajectory of the at least one wellsite, and a processor and memory storing instructions when executed by the processor. The instructions include functionality to configure a drilling model for each of the at least one wellsite based on the plurality of survey factors and the plurality of drilling factors and selectively adjust the drilling model with respect to a plurality of drilling scenarios to generate an optimal drilling plan.