Abstract: Systems, computer-readable media, and methods are disclosed for generating machine learning model packages by training a machine leaning model, obtaining metadata corresponding to the model, generating a model execution script for executing the model, obtaining a re-training program associated with the model, where the re-training program can be used to re-train the model in a run-time environment of a target application, and generating a machine learning model package that includes the model, the metadata, the model execution script, and the re-training program. Systems, computer-readable media, and methods are also disclosed for deploying, discovering, and managing models by obtaining a machine learning model package, obtaining a model, metadata, and a model execution script from the machine learning model package, identifying inputs of the model based on the metadata, obtaining input data, and executing the model using the model execution script and the input data to analyze the input data.

Abstract: A method for creating a bookmark for geological and geophysical, visualization and interpretation software is described herein. A visualization of seismic or borehole data may be displayed on a computer screen. A request to create the bookmark may be received. The bookmark may represent a state of the displayed visualization and include one or more settings of the GGVI software. The settings may be determined. The bookmark may be created.