Abstract: A method includes generating a structured data object from a plurality of data files in a data repository, preprocessing the structured data object based on one or more features from the structured data object, executing an unsupervised machine-learning technique to identify one or more clusters of data files from the plurality of data files in the data repository, presenting at least one set of text from the one or more clusters to a user along with a word cloud for each of the one or more clusters, and receiving one or more labels for respective clusters of the one or more clusters.

Abstract: A method, apparatus, and program product manage model dependencies in a petroleum simulation environment. Version data is maintained both for a model or data set used by a first simulation application and for a dependent model used by a second simulation application and based upon the model or data set used by the first simulation application. After the model or data set used by the first simulation application is updated, as well as the version data therefor, a determination is made as to whether the dependent model is antiquated based upon the version data maintained for the dependent model and the version data for the updated model or data set used by the first simulation application.

Abstract: The present disclosure describes a system, method and computer readable medium for facilitating oilfield data analysis. In one embodiment, oilfield data that may be utilized in connection with a plurality of data visualization types may be identified and used to generate oilfield data filter(s). One or more of the oilfield data filter(s) may be applied and used to filter out oilfield data from selection display screen(s) presented to the user. One or more graphical representations of the selected oilfield data may be generated and displayed to the user. In one embodiment, the user may refine the graphical representation(s) of selected oilfield data using a styling interface.